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Marius Kloft

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 32 12990 12606 633 618 151 5755

Marius Kloft publications per year

The chart shows the history of publications by Marius Kloft between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marius Kloft published across 18 years, from 2008 to 2025, averaging 10 papers a year. Output peaked at 23 publications in 2021. 26 of the 180 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2021. 2008: 1 publication 2009: 6 publications 2010: 5 publications 2011: 6 publications 2012: 8 publications 2013: 4 publications 2014: 7 publications 2015: 14 publications 2016: 9 publications 2017: 7 publications 2018: 10 publications 2019: 12 publications 2020: 9 publications 2021: 23 publications 2022: 15 publications 2023: 18 publications 2024: 14 publications 2025: 12 publications
2008 2025

180 publications in total across all disciplines

View publications per year as a table
Marius Kloft: publications per year, 2008 to 2025
Year Publications
2008 1
2009 6
2010 5
2011 6
2012 8
2013 4
2014 7
2015 14
2016 9
2017 7
2018 10
2019 12
2020 9
2021 23
2022 15
2023 18
2024 14
2025 12
Total 180
Download as CSV

Marius Kloft publications per year - data summary

  • Marius Kloft, a Computer Science scholar from Technical University of Kaiserslautern, has 180 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 23 publications.
  • The least productive year with any output is 2008, with 1 publication.
  • The rate of publication averages 10.0 papers per year over the whole span, or 10.0 per year counting only the 18 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 82 publications, 46% of the career total.
  • Split into equal eras - 2008-2013: 30 publications (5.0 per year); 2014-2019: 59 publications (9.8 per year); 2020-2025: 91 publications (15.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Marius Kloft 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 Marius Kloft 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, 142–151 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: 151 publications — 27th percentile

27% 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
142–151 609 151
152–161 559
162–171 534
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

Marius Kloft 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.
  • Marius Kloft, a Computer Science scholar from Technical University of Kaiserslautern, records 151 publications - the 27th percentile of the discipline.
  • 27% of ranked Computer Science scientists score the same or lower than Marius Kloft, and about 73% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Marius Kloft 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).

Marius Kloft 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 Marius Kloft 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, 32–33 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: 32 D-Index — 10th percentile

10% 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 32
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
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

Marius Kloft 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.
  • Marius Kloft, a Computer Science scholar from Technical University of Kaiserslautern, records 32 D-Index - the 10th percentile of the discipline.
  • 10% of ranked Computer Science scientists score the same or lower than Marius Kloft, and about 90% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Marius Kloft ranks below the median.
  • 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

Marius Kloft is affiliated with the Technical University of Kaiserslautern in Germany. Their research primarily focuses on the field of Computer Science, with significant contributions in several subfields and topics related to artificial intelligence and machine learning.

Their main subfields of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering

Key research topics covered in their work are:

  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Network Security and Intrusion Detection
  • Face and Expression Recognition
  • Sparse and Compressive Sensing Techniques
  • Explainable Artificial Intelligence (XAI)
  • Data-Driven Disease Surveillance

Frequent coauthors collaborating with Marius Kloft include:

  • Sophie Fellenz
  • Stephan Mandt
  • Maja Rudolph
  • Philipp Liznerski
  • Antoine Ledent

Their publications appear in a variety of venues, with multiple papers in the following:

  • arXiv (Cornell University)
  • Chemie Ingenieur Technik
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Procedia CIRP
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Representative recent papers authored or co-authored by Marius Kloft include:

  • Efficient and Effective Regularized Incomplete Multi-view Clustering, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Machine Learning in Chemical Engineering: A Perspective, 2021, Chemie Ingenieur Technik
  • Multiview Subspace Clustering via Co-Training Robust Data Representation, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Explainable Deep One-Class Classification, 2020, arXiv (Cornell University)
  • Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion, 2020, The Journal of Physical Chemistry Letters

Best Publications

  • A Unifying Review of Deep and Shallow Anomaly Detection

    Lukas Ruff;Jacob R. Kauffmann;Robert A. Vandermeulen;Gregoire Montavon

  • Deep One-Class Classification

    Lukas Ruff;Robert Vandermeulen;Nico Goernitz;Lucas Deecke

  • Toward supervised anomaly detection

    Nico Görnitz;Marius Kloft;Konrad Rieck;Ulf Brefeld

  • l p -Norm Multiple Kernel Learning

    Marius Kloft;Ulf Brefeld;Sören Sonnenburg;Alexander Zien

  • Predicting MOOC Dropout over Weeks Using Machine Learning Methods

    Marius Kloft;Felix Stiehler;Zhilin Zheng;Niels Pinkwart

  • Efficient and Accurate Lp-Norm Multiple Kernel Learning

    Marius Kloft;Ulf Brefeld;Pavel Laskov;Klaus-Robert Müller

  • Multiple Kernel $k$ k -Means with Incomplete Kernels

    Xinwang Liu;Xinzhong Zhu;Miaomiao Li;Lei Wang

  • Efficient and Effective Regularized Incomplete Multi-View Clustering

    Xinwang Liu;Miaomiao Li;Chang Tang;Jingyuan Xia

  • Machine Learning in Chemical Engineering: A Perspective

    Artur M. Schweidtmann;Artur M. Schweidtmann;Erik Esche;Asja Fischer;Marius Kloft

  • Image Anomaly Detection with Generative Adversarial Networks

    Lucas Deecke;Robert A. Vandermeulen;Lukas Ruff;Stephan Mandt

  • Online Anomaly Detection under Adversarial Impact

    Marius Kloft;Pavel Laskov

  • Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events

    Guang Yu;Siqi Wang;Zhiping Cai;En Zhu

  • Deep Semi-Supervised Anomaly Detection

    Lukas Ruff;Robert A. Vandermeulen;Nico Görnitz;Alexander Binder

  • Multiview Subspace Clustering via Co-Training Robust Data Representation.

    Jiyuan Liu;Xinwang Liu;Yuexiang Yang;Xifeng Guo

  • Mixed kernel based extreme learning machine for electric load forecasting

    Yanhua Chen;Yanhua Chen;Marius Kloft;Yi Yang;Caihong Li

  • Learning Kernels Using Local Rademacher Complexity

    Corinna Cortes;Marius Kloft;Mehryar Mohri

  • Explainable Deep One-Class Classification

    Philipp Liznerski;Lukas Ruff;Robert A. Vandermeulen;Billy Joe Franks

  • Active learning for network intrusion detection

    Nico Görnitz;Marius Kloft;Konrad Rieck;Ulf Brefeld

  • Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion.

    Fabian Jirasek;Fabian Jirasek;Rodrigo A. S. Alves;Julie Damay;Robert A. Vandermeulen

  • Security analysis of online centroid anomaly detection

    Marius Kloft;Pavel Laskov

  • Explainable Deep One-Class Classification

    Philipp Liznerski;Lukas Ruff;Robert A. Vandermeulen;Billy Joe Franks

  • Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network

    Siqi Wang;Yijie Zeng;Xinwang Liu;En Zhu

  • A framework for quantitative security analysis of machine learning

    Pavel Laskov;Marius Kloft

  • Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies

    Bettina Mieth;Marius Kloft;Juan Antonio Rodríguez;Sören Sonnenburg

Frequent Co-Authors

Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Gunnar Rätsch
Gunnar Rätsch ETH Zurich
Pavel Laskov
Pavel Laskov University of Liechtenstein
Konrad Rieck
Konrad Rieck Technische Universität Braunschweig
Xinwang Liu
Xinwang Liu National University of Defense Technology
John P. Cunningham
John P. Cunningham Columbia University
Robert Jenssen
Robert Jenssen University of Tromsø - The Arctic University of Norway
Ding-Xuan Zhou
Ding-Xuan Zhou University of Sydney
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Alexander Mitsos
Alexander Mitsos RWTH Aachen University

External Links

Personal website of Marius Kloft

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Related Online Degrees & Career Pathways

Exploring Computer Science opens doors to several related online degree programs. Many students consider branching into fields such as mechanical engineering, physics, data science, or electrical engineering. Each pathway offers distinct career possibilities and educational experiences.

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These related degrees offer flexible study options and versatile career pathways for students with a passion for technology and innovation.

Best Scientists Citing Marius Kloft

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Klaus-Robert Müller

Technical University of Berlin

Publications: 53

Battista Biggio

Battista Biggio

University of Cagliari

Publications: 32

Xinwang Liu

Xinwang Liu

National University of Defense Technology

Publications: 26

Fabio Roli

Fabio Roli

University of Genoa

Publications: 23

Taiji Suzuki

Taiji Suzuki

University of Tokyo

Publications: 16

Ivor W. Tsang

Ivor W. Tsang

Agency for Science, Technology and Research

Publications: 16

Chunhua Shen

Chunhua Shen

Zhejiang University

Publications: 11

Giorgio Giacinto

Giorgio Giacinto

University of Cagliari

Publications: 11

Masashi Sugiyama

Masashi Sugiyama

RIKEN

Publications: 10

Dong Xu

Dong Xu

University of Hong Kong

Publications: 10

Giorgio Fumera

Giorgio Fumera

University of Cagliari

Publications: 10

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 9

Anton van den Hengel

Anton van den Hengel

University of Adelaide

Publications: 9

Wojciech Samek

Wojciech Samek

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Publications: 9

Grégoire Montavon

Grégoire Montavon

Freie Universität Berlin

Publications: 9

Lei Wang

Lei Wang

University of Wollongong

Publications: 9

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