World's Best Scientists 2026 revealed!
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Erik Cambria
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Computer Science
Singapore
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 122 139 134 5 5 620 58989

Erik Cambria publications per year

The chart shows the history of publications by Erik Cambria between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Erik Cambria published across 17 years, from 2009 to 2025, averaging 45.9 papers a year. Output peaked at 105 publications in 2025. 198 of the 780 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 105. Peak 105 publications in 2025. 2009: 3 publications 2010: 6 publications 2011: 8 publications 2012: 23 publications 2013: 27 publications 2014: 25 publications 2015: 36 publications 2016: 33 publications 2017: 53 publications 2018: 68 publications 2019: 54 publications 2020: 39 publications 2021: 72 publications 2022: 54 publications 2023: 81 publications 2024: 93 publications 2025: 105 publications
2009 2025

780 publications in total across all disciplines

View publications per year as a table
Erik Cambria: publications per year, 2009 to 2025
Year Publications
2009 3
2010 6
2011 8
2012 23
2013 27
2014 25
2015 36
2016 33
2017 53
2018 68
2019 54
2020 39
2021 72
2022 54
2023 81
2024 93
2025 105
Total 780
Download as CSV

Erik Cambria 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 Erik Cambria 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, 612–621 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: 620 publications — 97th percentile

97% 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
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 28 620
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

Erik Cambria 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 Erik Cambria 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, 122–123 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: 122 D-Index — 99th percentile

99% 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
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 20 122
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Computer Science in Singapore Leader Award
  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2023 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award

Overview

Erik Cambria is affiliated with Nanyang Technological University in Singapore and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research output includes 598 publications primarily situated within computer science, with significant emphasis on artificial intelligence, experimental and cognitive psychology, and computer vision and pattern recognition.

Their work addresses diverse topics including topic modeling, sentiment analysis and opinion mining, advanced text analysis techniques, natural language processing techniques, emotion and mood recognition, text and document classification technologies, and mental health via writing.

Among their recent papers are:

  • A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021, IEEE Transactions on Neural Networks and Learning Systems)
  • Deep Learning--based Text Classification (2021, ACM Computing Surveys)
  • ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for Sentiment Analysis (2020, Future Generation Computer Systems)
  • Multimodal Sentiment Analysis: A Systematic Review of History, Datasets, Multimodal Fusion Methods, Applications, Challenges and Future Directions (2022, Information Fusion)
  • Aspect-based Sentiment Analysis via Affective Knowledge Enhanced Graph Convolutional Networks (2021, Knowledge-Based Systems)

The scientist collaborates frequently with other researchers such as Rui Mao, Amir Hussain, Björn W. Schuller, Ranjan Satapathy, and Kai He. These collaborative efforts reflect a multidisciplinary approach within their research community.

Erik Cambria has been published predominantly in venues including:

  • arXiv (Cornell University)
  • Information Fusion
  • Cognitive Computation
  • IEEE Intelligent Systems
  • Artificial Intelligence Review

Their published book titled Time Expression and Named Entity Recognition was released in 2021 by Springer International Publishing.

Best Publications

  • Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

    Tom Young;Devamanyu Hazarika;Soujanya Poria;Erik Cambria

  • A Survey on Knowledge Graphs: Representation, Acquisition and Applications

    Shaoxiong Ji;Shirui Pan;Erik Cambria;Pekka Marttinen

  • Recent Trends in Deep Learning Based Natural Language Processing

    Tom Young;Devamanyu Hazarika;Soujanya Poria;Erik Cambria

  • Deep Learning--based Text Classification: A Comprehensive Review

    Shervin Minaee;Nal Kalchbrenner;Erik Cambria;Narjes Nikzad

  • New Avenues in Opinion Mining and Sentiment Analysis

    E. Cambria;B. Schuller;Yunqing Xia;C. Havasi

  • A review of affective computing

    Soujanya Poria;Erik Cambria;Rajiv Bajpai;Amir Hussain

  • Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]

    Erik Cambria;Bebo White

  • Affective Computing and Sentiment Analysis

    Erik Cambria

  • Tensor Fusion Network for Multimodal Sentiment Analysis

    Amir Zadeh;Minghai Chen;Soujanya Poria;Erik Cambria

  • Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

    AmirAli Bagher Zadeh;Paul Pu Liang;Soujanya Poria;Erik Cambria

  • Aspect extraction for opinion mining with a deep convolutional neural network

    Soujanya Poria;Erik Cambria;Alexander Gelbukh

  • MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

    Soujanya Poria;Devamanyu Hazarika;Navonil Majumder;Gautam Naik

  • Context-Dependent Sentiment Analysis in User-Generated Videos.

    Soujanya Poria;Erik Cambria;Devamanyu Hazarika;Navonil Majumder

  • Memory Fusion Network for Multi-view Sequential Learning

    Amir Zadeh;Paul Pu Liang;Navonil Mazumder;Soujanya Poria

  • DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.

    Navonil Majumder;Soujanya Poria;Devamanyu Hazarika;Rada Mihalcea

  • ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

    Mohammad Ehsan Basiri;Shahla Nemati;Moloud Abdar;Erik Cambria

  • Jumping NLP Curves: A Review of Natural Language Processing Research

    Erik Cambria;Bebo White

  • Representational learning with ELMs for big data

    Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou;Guang-Bin Huang;Chi Man Vong

  • SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings

    Erik Cambria;Soujanya Poria;Devamanyu Hazarika;Kenneth Kwok

  • Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

    Soujanya Poria;Iti Chaturvedi;Erik Cambria;Amir Hussain

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Deep Learning-Based Document Modeling for Personality Detection from Text

    Navonil Majumder;Soujanya Poria;Alexander Gelbukh;Erik Cambria

  • Memory Fusion Network for Multi-view Sequential Learning

    Amir Zadeh;Paul Pu Liang;Navonil Mazumder;Soujanya Poria

Frequent Co-Authors

Soujanya Poria
Soujanya Poria Nanyang Technological University
Amir Hussain
Amir Hussain King Fahd University of Petroleum and Minerals
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Roy E. Welsch
Roy E. Welsch MIT
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University
Luca Oneto
Luca Oneto University of Genoa
Björn Schuller
Björn Schuller Imperial College London
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Roger Zimmermann
Roger Zimmermann National University of Singapore

External Links

Personal website of Erik Cambria Google Scholar page

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Best Scientists Citing Erik Cambria

Amir Hussain

Amir Hussain

King Fahd University of Petroleum and Minerals

Publications: 44

Amaury Lendasse

Amaury Lendasse

University of Houston

Publications: 43

Louis-Philippe Morency

Louis-Philippe Morency

Carnegie Mellon University

Publications: 32

Alexander Gelbukh

Alexander Gelbukh

Instituto Politécnico Nacional

Publications: 31

Björn Schuller

Björn Schuller

Imperial College London

Publications: 29

Soujanya Poria

Soujanya Poria

Nanyang Technological University

Publications: 21

Flavius Frasincar

Flavius Frasincar

Erasmus University Rotterdam

Publications: 20

Diego Reforgiato Recupero

Diego Reforgiato Recupero

University of Cagliari

Publications: 19

Viviana Patti

Viviana Patti

University of Turin

Publications: 18

Paul Pu Liang

Paul Pu Liang

Carnegie Mellon University

Publications: 17

Pushpak Bhattacharyya

Pushpak Bhattacharyya

Indian Institute of Technology Patna

Publications: 17

Haoran Xie

Haoran Xie

Lingnan University

Publications: 16

Fabrício Benevenuto

Fabrício Benevenuto

Universidade Federal de Minas Gerais

Publications: 16

Bing Liu

Bing Liu

University of Illinois at Chicago

Publications: 16

Stefan Wermter

Stefan Wermter

Universität Hamburg

Publications: 13

Roger Zimmermann

Roger Zimmermann

National University of Singapore

Publications: 13

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Udo Wagenknecht

Leibniz Institute for Neurobiology

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University of Nebraska–Lincoln

Bernard Delley

Bernard Delley

Paul Scherrer Institute

Myriam Witvrouw

Myriam Witvrouw

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John A. Milner

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