World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
19631
World Ranking
1358
National Ranking
710

Erik Blasch 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 Blasch 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: 747 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Erik Blasch 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 Blasch 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: 76 D-Index — 91st percentile

91% 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

  • 2008 - SPIE Fellow

Overview

Erik Blasch is affiliated with the United States Air Force Research Laboratory in the United States. Their research focuses primarily on computer science and engineering fields, with prominent subfields including artificial intelligence, computer vision and pattern recognition, aerospace engineering, electrical and electronic engineering, and computer networks and communications.

The scientist has contributed extensively to multiple research topics, particularly in anomaly detection techniques and applications, video surveillance and tracking methods, IoT and edge/fog computing, target tracking and data fusion in sensor networks, human-automation interaction and safety, blockchain technology applications and security, and UAV applications and optimization.

Frequent coauthors collaborating with Erik Blasch include Yu Chen, Michael Braasch, David A. Brown, Mark Davis, and Frederick Daum.

Blasch's publication record includes papers in notable venues, with particular frequent contributions to the IEEE Aerospace and Electronic Systems Magazine, arXiv (Cornell University), Preprints.org, Sensors, and Future Internet.

  • Machine Learning/Artificial Intelligence for Sensor Data Fusion-Opportunities and Challenges, 2021, IEEE Aerospace and Electronic Systems Magazine
  • Situational Awareness: Techniques, Challenges, and Prospects, 2022, AI
  • WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning, 2022, IEEE Internet of Things Journal
  • Artificial Intelligence and Data Fusion at the Edge, 2021, IEEE Aerospace and Electronic Systems Magazine
  • FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion, 2021, IEEE Access

In addition to journal articles, Blasch has published books through Springer Science+Business Media and SPIE. Notable titles include "Dynamic Data Driven Applications Systems" (2020 and 2024 editions) and "Lightweight Blockchain for Internet of Things: Rationale and a Case Study" (2023).

Erik Blasch was recognized as a SPIE Fellow in 2008.

Best Publications

  • Encoding Color Information for Visual Tracking: Algorithms and Benchmark

    Pengpeng Liang;Erik Blasch;Haibin Ling

  • Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study

    Z. Liu;E. Blasch;Z. Xue;J. Zhao

  • High-Level Information Fusion Management and System Design

    Erik Blasch;Éloi Bossé;Dale Lambert

  • Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier

    Bingwei Liu;Erik Blasch;Yu Chen;Dan Shen

  • Game Theory for Cyber Security and Privacy

    Cuong T. Do;Nguyen H. Tran;Choongseon Hong;Charles A. Kamhoua

  • Kalman Filtering with Nonlinear State Constraints

    Chun Yang;E. Blasch

  • Aerial imagery pile burn detection using deep learning: The FLAME dataset

    Alireza Shamsoshoara;Fatemeh Afghah;Abolfazl Razi;Liming Zheng

  • JDL level 5 fusion model: user refinement issues and applications in group tracking

    Erik P. Blasch;Susan Plano

  • BlendCAC: A BLockchain-Enabled Decentralized Capability-Based Access Control for IoTs

    Ronghua Xu;Yu Chen;Erik Blasch;Genshe Chen

  • Revisiting the JDL model for information exploitation

    Erik Blasch;Alan Steinberg;Subrata Das;James Llinas

  • Towards unbiased evaluation of uncertainty reasoning: The URREF ontology

    Paulo C. G. Costa;Kathryn B. Laskey;Erik Blasch;Anne-Laure Jousselme

  • Unmanned vehicles come of age: The DARPA grand challenge

    Guna Seetharaman;Arun Lakhotia;Erik Philip Blasch

  • Issues and Challenges in Situation Assessment (Level 2 Fusion)

    Erik Blasch;Ivan Kadar;John S. Salerno;Mieczyslaw M. Kokar

  • BlendCAC: A Smart Contract Enabled Decentralized Capability-Based Access Control Mechanism for the IoT

    Ronghua Xu;Yu Chen;Erik Blasch;Genshe Chen

  • Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation

    Chun Yang;L. Kaplan;E. Blasch

  • High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges

    E. P. Blasch;D. A. Lambert;P. Valin;M. M. Kokar

  • DFIG Level 5 (User Refinement) issues supporting Situational Assessment Reasoning

    E. Blasch;S. Plano

  • Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

    Erik Blasch;Tien Pham;Chee-Yee Chong;Wolfgang Koch

  • Efficient Minimum Error Bounded Particle Resampling L1 Tracker With Occlusion Detection

    Xue Mei;Haibin Ling;Yi Wu;E. P. Blasch

  • Context-Enhanced Information Fusion

    Lauro Snidaro;Jesús García;James Llinas;Erik Blasch

  • Mobile positioning via fusion of mixed signals of opportunity

    Chun Yang;Thao Nguyen;Erik Blasch

  • RFAL: Adversarial Learning for RF Transmitter Identification and Classification

    Debashri Roy;Tathagata Mukherjee;Mainak Chatterjee;Erik Blasch

Frequent Co-Authors

Genshe Chen
Genshe Chen Intelligent Fusion Technology (United States)
Haibin Ling
Haibin Ling Westlake University
Jose B. Cruz
Jose B. Cruz The Ohio State University
Wei Yu
Wei Yu Towson University
Li Bai
Li Bai University of Nottingham
Zheng Liu
Zheng Liu University of British Columbia
Kathryn B. Laskey
Kathryn B. Laskey George Mason University
Guna Seetharaman
Guna Seetharaman United States Naval Research Laboratory
Zhi Tian
Zhi Tian George Mason University
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut

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