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Leman Akoglu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7085 6880 3110 2993 171 10985

Leman Akoglu publications per year

The chart shows the history of publications by Leman Akoglu between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Leman Akoglu published across 18 years, from 2008 to 2025, averaging 10.2 papers a year. Output peaked at 17 publications in 2021. 13 of the 183 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2021. 2008: 3 publications 2009: 2 publications 2010: 6 publications 2011: 4 publications 2012: 11 publications 2013: 10 publications 2014: 13 publications 2015: 14 publications 2016: 15 publications 2017: 10 publications 2018: 12 publications 2019: 7 publications 2020: 15 publications 2021: 17 publications 2022: 15 publications 2023: 16 publications 2024: 10 publications 2025: 3 publications
2008 2025

183 publications in total across all disciplines

View publications per year as a table
Leman Akoglu: publications per year, 2008 to 2025
Year Publications
2008 3
2009 2
2010 6
2011 4
2012 11
2013 10
2014 13
2015 14
2016 15
2017 10
2018 12
2019 7
2020 15
2021 17
2022 15
2023 16
2024 10
2025 3
Total 183
Download as CSV

Leman Akoglu publications per year - data summary

  • Leman Akoglu, a Computer Science scholar from Carnegie Mellon University, has 183 publications recorded across 18 years, from 2008 to 2025.
  • The oldest publication on record dates to 2008 and the most recent to 2025.
  • The most productive year is 2021, with 17 publications.
  • The least productive year with any output is 2009, with 2 publications.
  • The rate of publication averages 10.2 papers per year over the whole span, or 10.2 per year counting only the 18 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 61 publications, 33% of the career total.
  • Split into equal eras - 2008-2013: 36 publications (6.0 per year); 2014-2019: 71 publications (11.8 per year); 2020-2025: 76 publications (12.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Leman Akoglu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Leman Akoglu sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 162–171 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534 171
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Leman Akoglu publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Leman Akoglu, a Computer Science scholar from Carnegie Mellon University, records 171 publications - the 35th percentile of the discipline.
  • 35% of ranked Computer Science scientists score the same or lower than Leman Akoglu, and about 65% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Leman Akoglu ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Leman Akoglu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Leman Akoglu sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 44–45 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763 45
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Leman Akoglu D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Leman Akoglu, a Computer Science scholar from Carnegie Mellon University, records 45 D-Index - the 51st percentile of the discipline.
  • 51% of ranked Computer Science scientists score the same or lower than Leman Akoglu, and about 49% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Leman Akoglu falls inside that same range.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

The scientist’s investigation covers issues in Graph, Data mining, Anomaly detection, Artificial intelligence and Theoretical computer science. Her work carried out in the field of Graph brings together such families of science as Transfer of learning, Community structure and Cluster analysis. Her Data mining study incorporates themes from Graph, The Internet, Spamming, Subnetwork and Information retrieval.

Her work in Anomaly detection addresses issues such as Outlier, which are connected to fields such as Graph size, Change detection and Suite. The Artificial intelligence study combines topics in areas such as Machine learning and Relational database. Her study in Theoretical computer science is interdisciplinary in nature, drawing from both Modular decomposition, Graph theory, Null model and Weighted network.

Her most cited work include:

  • Graph based anomaly detection and description: a survey (625 citations)
  • OddBall: spotting anomalies in weighted graphs (390 citations)
  • RolX: structural role extraction & mining in large graphs (283 citations)

What are the main themes of her work throughout her whole career to date?

Leman Akoglu mainly investigates Anomaly detection, Graph, Artificial intelligence, Data mining and Theoretical computer science. Her Anomaly detection research is multidisciplinary, incorporating elements of Hyperparameter, Unsupervised learning, Outlier and Benchmark. Her research investigates the link between Graph and topics such as Graph that cross with problems in Homophily.

The various areas that Leman Akoglu examines in her Artificial intelligence study include Natural language processing, Machine learning and Pattern recognition. In her study, which falls under the umbrella issue of Data mining, Detector is strongly linked to Ground truth. Her work investigates the relationship between Theoretical computer science and topics such as Modular decomposition that intersect with problems in Indifference graph and Combinatorics.

She most often published in these fields:

  • Anomaly detection (32.61%)
  • Graph (29.71%)
  • Artificial intelligence (27.54%)

What were the highlights of her more recent work (between 2018-2021)?

  • Anomaly detection (32.61%)
  • Artificial intelligence (27.54%)
  • Outlier (14.49%)

In recent papers she was focusing on the following fields of study:

Leman Akoglu mostly deals with Anomaly detection, Artificial intelligence, Outlier, Graph and Machine learning. Her study on Anomaly detection also encompasses disciplines like

  • Benchmark together with Data mining, Curse of dimensionality and Inference,
  • Hyperparameter together with Model selection. Her study looks at the intersection of Data mining and topics like Distributed Computing Environment with Key.

Her work on Cluster analysis, Class and Classifier is typically connected to Scale as part of general Artificial intelligence study, connecting several disciplines of science. Her biological study spans a wide range of topics, including Graph, Theoretical computer science and Pattern recognition. Her study in the fields of Interpretability under the domain of Machine learning overlaps with other disciplines such as Model building.

Between 2018 and 2021, her most popular works were:

  • PairNorm: Tackling Oversmoothing in GNNs (55 citations)
  • PairNorm: Tackling Oversmoothing in GNNs (15 citations)
  • Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection (10 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

Her primary areas of study are Graph, Graph neural networks, Algorithm, Artificial neural network and Normalization. Her Graph study combines topics in areas such as Theoretical computer science, Convolutional neural network, Heterophily, Homophily and Perceptron. Her research on Graph neural networks concerns the broader Graph.

Her Algorithm study frequently draws parallels with other fields, such as Network architecture.

Best Publications

  • Graph based anomaly detection and description: a survey

    Leman Akoglu;Hanghang Tong;Danai Koutra

  • OddBall: spotting anomalies in weighted graphs

    Leman Akoglu;Mary McGlohon;Christos Faloutsos

  • Collective Opinion Spam Detection: Bridging Review Networks and Metadata

    Shebuti Rayana;Leman Akoglu

  • Opinion Fraud Detection in Online Reviews by Network Effects

    Leman Akoglu;Rishi Chandy;Christos Faloutsos

  • RolX: structural role extraction & mining in large graphs

    Keith Henderson;Brian Gallagher;Tina Eliassi-Rad;Hanghang Tong

  • Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

    Jiong Zhu;Yujun Yan;Lingxiao Zhao;Mark Heimann

  • A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

    Xiaoxiao Ma;Jia Wu;Shan Xue;Jian Yang

  • APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

    Véronique Van Vlasselaer;Cristián Bravo;Olivier Caelen;Tina Eliassi-Rad

  • It's who you know: graph mining using recursive structural features

    Keith Henderson;Brian Gallagher;Lei Li;Leman Akoglu

  • Discovering Opinion Spammer Groups by Network Footprints

    Junting Ye;Leman Akoglu

  • Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs

    Emaad Manzoor;Sadegh M. Milajerdi;Leman Akoglu

  • Focused clustering and outlier detection in large attributed graphs

    Bryan Perozzi;Leman Akoglu;Patricia Iglesias Sánchez;Emmanuel Müller

  • PairNorm: Tackling Oversmoothing in GNNs

    Lingxiao Zhao;Leman Akoglu

  • RTG: a recursive realistic graph generator using random typing

    Leman Akoglu;Christos Faloutsos

  • GOTCHA! Network-Based Fraud Detection for Social Security Fraud

    Véronique Van Vlasselaer;Tina Eliassi-Rad;Leman Akoglu;Monique Snoeck

  • PICS: Parameter-free identification of cohesive subgroups in large attributed graphs

    Leman Akoglu;Hanghang Tong;Brendan Meeder;Christos Faloutsos

  • Weighted graphs and disconnected components: patterns and a generator

    Mary McGlohon;Leman Akoglu;Christos Faloutsos

  • Fast and reliable anomaly detection in categorical data

    Leman Akoglu;Hanghang Tong;Jilles Vreeken;Christos Faloutsos

  • Less is More: Building Selective Anomaly Ensembles

    Shebuti Rayana;Leman Akoglu

  • Scalable Anomaly Ranking of Attributed Neighborhoods

    Bryan Perozzi;Leman Akoglu

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Tina Eliassi-Rad
Tina Eliassi-Rad Northeastern University
Bart Baesens
Bart Baesens KU Leuven
Danai Koutra
Danai Koutra University of Michigan–Ann Arbor
Jilles Vreeken
Jilles Vreeken Max Planck Society
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
U Kang
U Kang Seoul National University
Stephan Günnemann
Stephan Günnemann Technical University of Munich
Alex Beutel
Alex Beutel OpenAI

External Links

Personal website of Leman Akoglu Google Scholar page

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Best Scientists Citing Leman Akoglu

Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

Publications: 111

Danai Koutra

Danai Koutra

University of Michigan–Ann Arbor

Publications: 44

Hanghang Tong

Hanghang Tong

University of Illinois at Urbana-Champaign

Publications: 40

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 35

Bart Baesens

Bart Baesens

KU Leuven

Publications: 28

U Kang

U Kang

Seoul National University

Publications: 27

Aristides Gionis

Aristides Gionis

Royal Institute of Technology

Publications: 27

Jure Leskovec

Jure Leskovec

Stanford University

Publications: 24

Huan Liu

Huan Liu

Arizona State University

Publications: 22

Tina Eliassi-Rad

Tina Eliassi-Rad

Northeastern University

Publications: 22

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 21

Nesreen K. Ahmed

Nesreen K. Ahmed

Intel (United States)

Publications: 19

Bing Liu

Bing Liu

University of Illinois at Chicago

Publications: 18

Evangelos E. Papalexakis

Evangelos E. Papalexakis

University of California, Riverside

Publications: 18

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Duen Horng Chau

Georgia Institute of Technology

Publications: 18

Stephan Günnemann

Stephan Günnemann

Technical University of Munich

Publications: 16

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