World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
12967
World Ranking
2650
National Ranking
1315

Latifur Khan 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 Latifur Khan sits on this spectrum.

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 publications 991+

This scientist: 483 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Latifur Khan 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 Latifur Khan sits on this spectrum.

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 D-Index 131+

This scientist: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Latifur Khan is affiliated with The University of Texas at Dallas in the United States. Their research primarily falls within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications, and Sociology and Political Science.

The main topics of Latifur Khan's work include:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Information and Cyber Security
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Anomaly Detection Techniques and Applications
  • Data Stream Mining Techniques

The scientist has contributed to numerous papers, some of the recent publications include:

  • "VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning," 2021, published in the 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
  • "SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Deep Learning on Knowledge Graph for Recommender System: A Survey," 2020, arXiv (Cornell University)
  • "ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Community perceptions of landslide risk and susceptibility: a multi-country study," 2023, Landslides

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Access
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Computer Security

Latifur Khan has collaborated extensively with several researchers, including:

  • Bhavani Thuraisingham
  • Kevin W. Hamlen
  • Anoop Singhal
  • Feng Mi
  • Yang Gao

In addition to journal and conference papers, Latifur Khan has contributed to book publications, including a title with Springer Science+Business Media: "Data and Applications Security and Privacy XXXVI" published in 2022.

Recognition for Latifur Khan's work includes honors such as the ACM Senior Member designation in 2011 and ACM Distinguished Member in 2012.

Best Publications

  • A new intrusion detection system using support vector machines and hierarchical clustering

    Latifur Khan;Mamoun Awad;Bhavani Thuraisingham

  • Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

    Mohammad M Masud;Jing Gao;L Khan;Jiawei Han

  • A Machine Learning Approach to Android Malware Detection

    Justin Sahs;Latifur Khan

  • Image annotations by combining multiple evidence & wordNet

    Yohan Jin;Latifur Khan;Lei Wang;Mamoun Awad

  • Security Issues for Cloud Computing

    Kevin Hamlen;Murat Kantarcioglu;Latifur Khan;Bhavani Thuraisingham

  • Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory

    Feng Luo;Feng Luo;Yunfeng Yang;Jianxin Zhong;Jianxin Zhong;Haichun Gao;Haichun Gao

  • FUSION: An Online Method for Multistream Classification

    Ahsanul Haque;Zhuoyi Wang;Swarup Chandra;Bo Dong

  • Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing

    M. Husain;J. McGlothlin;M. M. Masud;L. Khan

  • Ontology construction for information selection

    L. Khan;Feng Luo

  • Retrieval effectiveness of an ontology-based model for information selection

    Latifur Khan;Dennis McLeod;Eduard Hovy

  • SMV-HUNTER: Large Scale, Automated Detection of SSL/TLS Man-in-the-Middle Vulnerabilities in Android Apps

    David Sounthiraraj;Justin Sahs;Garrett Greenwood;Zhiqiang Lin

  • A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data

    M.M. Masud;Jing Gao;L. Khan;Jiawei Han

  • Estimating Twitter User Location Using Social Interactions--A Content Based Approach

    Swarup Chandra;Latifur Khan;Fahad Bin Muhaya

  • SAND: semi-supervised adaptive novel class detection and classification over data stream

    Ahsanul Haque;Latifur Khan;Michael Baron

  • Storage and Retrieval of Large RDF Graph Using Hadoop and MapReduce

    Mohammad Farhan Husain;Pankil Doshi;Latifur Khan;Bhavani Thuraisingham

  • Secure knowledge management: confidentiality, trust, and privacy

    E. Bertino;L.R. Khan;R. Sandhu;B. Thuraisingham

  • Decentralized IoT Data Management Using BlockChain and Trusted Execution Environment

    Gbadebo Ayoade;Vishal Karande;Latifur Khan;Kevin Hamlen

  • Facing the reality of data stream classification: coping with scarcity of labeled data

    Mohammad M. Masud;Clay Woolam;Jing Gao;Latifur Khan

  • Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams

    M. M. Masud;Qing Chen;L. Khan;C. C. Aggarwal

  • Support Vector Machines

    Mamoun Awad;Latifur Khan

  • Classification and Novel Class Detection in Concept-Drifting Data Streams

    Bhavani Thuraisingham;Mohammad Mehedy Masud;Pallabi Parveen;Latifur Khan

Frequent Co-Authors

Bhavani Thuraisingham
Bhavani Thuraisingham The University of Texas at Dallas
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Jing Gao
Jing Gao Purdue University West Lafayette
I-Ling Yen
I-Ling Yen The University of Texas at Dallas
Ehab Al-Shaer
Ehab Al-Shaer Carnegie Mellon University
Zhiqiang Lin
Zhiqiang Lin The Ohio State University
Shashi Shekhar
Shashi Shekhar University of Minnesota
Elisa Bertino
Elisa Bertino Purdue University West Lafayette

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