World's Best Scientists 2026 revealed!
Alexander G. Hauptmann

Alexander G. Hauptmann

D-Index & Metrics

Computer Science

D-Index
94
Citations
32976
World Ranking
486
National Ranking
263

Alexander G. Hauptmann 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 Alexander G. Hauptmann 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: 553 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Alexander G. Hauptmann 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 Alexander G. Hauptmann 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: 94 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Overview

Alexander G. Hauptmann is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Control and Systems Engineering, and Aerospace Engineering.

Their work covers a range of topics including:

  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications

Hauptmann has contributed to a number of scholarly papers across various respected venues. Notable recent publications include:

  • "Rethinking Spatial Invariance of Convolutional Networks for Object Counting," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "KAT: A Knowledge Augmented Transformer for Vision-and-Language," 2022, published in the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Deep Discrete Cross-Modal Hashing with Multiple Supervision," 2021, published in Neurocomputing
  • "Few-shot activity recognition with cross-modal memory network," 2020, published in Pattern Recognition
  • "Support-set bottlenecks for video-text representation learning," 2020, published on arXiv (Cornell University)

The venues where Hauptmann has frequently published include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Neurocomputing
  • Pattern Recognition

Hauptmann has collaborated extensively with several researchers, including:

  • Zhi-Qi Cheng
  • Junwei Liang
  • Xiaojun Chang
  • Florian Metze
  • Po-Yao Huang

Best Publications

  • Person Re-identification: Past, Present and Future

    Liang Zheng;Yi Yang;Alexander G. Hauptmann

  • Evaluating bag-of-visual-words representations in scene classification

    Jun Yang;Yu-Gang Jiang;Alexander G. Hauptmann;Chong-Wah Ngo

  • Infrared Patch-Image Model for Small Target Detection in a Single Image

    Chenqiang Gao;Deyu Meng;Yi Yang;Yongtao Wang

  • Contrastive Adaptation Network for Unsupervised Domain Adaptation

    Guoliang Kang;Lu Jiang;Yi Yang;Alexander G. Hauptmann

  • Large-scale concept ontology for multimedia

    M. Naphade;J.R. Smith;J. Tesic;Shih-Fu Chang

  • Cross-domain video concept detection using adaptive svms

    Jun Yang;Rong Yan;Alexander G. Hauptmann

  • A discriminative CNN video representation for event detection

    Zhongwen Xu;Yi Yang;Alexander G. Hauptmann

  • Self-paced curriculum learning

    Lu Jiang;Deyu Meng;Qian Zhao;Shiguang Shan

  • Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

    Yi Yang;Zhigang Ma;Feiping Nie;Xiaojun Chang

  • Practical elimination of near-duplicates from web video search

    Xiao Wu;Alexander G. Hauptmann;Chong-Wah Ngo

  • MoSIFT: Recognizing Human Actions in Surveillance Videos

    Ming-Yu Chen;Alexander Hauptmann

  • DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation

    Jiang Liu;Chenqiang Gao;Deyu Meng;Alexander G. Hauptmann

  • Peeking Into the Future: Predicting Future Person Activities and Locations in Videos

    Junwei Liang;Lu Jiang;Juan Carlos Niebles;Alexander G. Hauptmann

  • DevNet: A Deep Event Network for multimedia event detection and evidence recounting

    Chuang Gan;Naiyan Wang;Yi Yang;Dit-Yan Yeung

  • Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition

    Zhenzhong Lan;Ming Lin;Xuanchong Li;Alexander G. Hauptmann

  • Self-Paced Learning with Diversity

    Lu Jiang;Deyu Meng;Shoou-I Yu;Zhenzhong Lan

  • Which Side are You on? Identifying Perspectives at the Document and Sentence Levels

    Wei-Hao Lin;Theresa Wilson;Janyce Wiebe;Alexander Hauptmann

  • Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study

    Yu-Gang Jiang;Jun Yang;Chong-Wah Ngo;A.G. Hauptmann

  • An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition

    Minnan Luo;Xiaojun Chang;Liqiang Nie;Yi Yang

  • Hidden Two-Stream Convolutional Networks for Action Recognition

    Yi Zhu;Zhen-Zhong Lan;Shawn D. Newsam;Alexander G. Hauptmann

  • Lessons learned from building a terabyte digital video library

    H.D. Wactlar;M.G. Christel;Yihong Gong;A.G. Hauptmann

  • Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search

    Lu Jiang;Deyu Meng;Teruko Mitamura;Alexander G. Hauptmann

Frequent Co-Authors

Michael G. Christel
Michael G. Christel Carnegie Mellon University
Rong Yan
Rong Yan Snapchat
Xiaojun Chang
Xiaojun Chang University of Technology Sydney
Rong Jin
Rong Jin Alibaba Group (China)
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Nicu Sebe
Nicu Sebe University of Trento
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Florian Metze
Florian Metze Carnegie Mellon University
Bhiksha Raj
Bhiksha Raj Carnegie Mellon University
Chong-Wah Ngo
Chong-Wah Ngo Singapore Management University

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