World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
117756
World Ranking
3309
National Ranking
1603

Alexander C. Berg 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 C. Berg 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: 98 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Alexander C. Berg 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 C. Berg 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Alexander C. Berg is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of Computer Science, with a specific focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, and Computer Graphics and Computer-Aided Design.

Their recent scholarly output includes several publications listed as follows:

  • Segment Anything, 2023, arXiv (Cornell University)
  • Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ImageNet Large Scale Visual Recognition Challenge, 2024, arXiv (Cornell University)
  • Point-Level Region Contrast for Object Detection Pre-Training, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Boundary IoU: Improving Object-Centric Image Segmentation Evaluation, 2021, arXiv (Cornell University)

Their work covers a range of main topics, notably in Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Advanced Image Processing Techniques, and Advanced Neural Network Applications. Other notable topics include Computer Graphics and Visualization Techniques, Domain Adaptation and Few-Shot Learning, and Machine Learning and Algorithms.

Alexander C. Berg frequently collaborates with other researchers. Frequent co-authors include Vicente Ordóñez, Nikhila Ravi, Edward Chou, Tamara L. Berg, and Ronghang Hu. These collaborations have contributed to publications across various venues.

The scientist's research is regularly published in several prominent venues, including arXiv (Cornell University), UNC Libraries, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the Proceedings of the AAAI Conference on Artificial Intelligence.

Best Publications

  • SSD: Single Shot MultiBox Detector

    Wei Liu;Dragomir Anguelov;Dumitru Erhan;Christian Szegedy

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

  • DSSD : Deconvolutional Single Shot Detector.

    Cheng-Yang Fu;Wei Liu;Ananth Ranga;Ambrish Tyagi

  • Attribute and simile classifiers for face verification

    Neeraj Kumar;Alexander C. Berg;Peter N. Belhumeur;Shree K. Nayar

  • SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition

    Hao Zhang;A.C. Berg;M. Maire;J. Malik

  • BabyTalk: Understanding and Generating Simple Image Descriptions

    Girish Kulkarni;Visruth Premraj;Vicente Ordonez;Sagnik Dhar

  • ParseNet: Looking Wider to See Better

    Wei Liu;Andrew Rabinovich;Alexander C. Berg

  • Classification using intersection kernel support vector machines is efficient

    S. Maji;A.C. Berg;J. Malik

  • Shape matching and object recognition using low distortion correspondences

    A.C. Berg;T.L. Berg;J. Malik

  • MatchNet: Unifying feature and metric learning for patch-based matching

    Xufeng Han;Thomas Leung;Yangqing Jia;Rahul Sukthankar

  • Modeling Context in Referring Expressions

    Licheng Yu;Patrick Poirson;Shan Yang;Alexander C. Berg

  • Baby talk: Understanding and generating simple image descriptions

    Girish Kulkarni;Visruth Premraj;Sagnik Dhar;Siming Li

  • Who are you with and where are you going

    Kota Yamaguchi;Alexander C. Berg;Luis E. Ortiz;Tamara L. Berg

  • What does classifying more than 10,000 image categories tell us?

    Jia Deng;Alexander C. Berg;Kai Li;Li Fei-Fei

  • Describable Visual Attributes for Face Verification and Image Search

    N. Kumar;A. Berg;P. N. Belhumeur;S. Nayar

  • Automatic attribute discovery and characterization from noisy web data

    Tamara L. Berg;Alexander C. Berg;Jonathan Shih

  • Names and faces in the news

    T.L. Berg;A.C. Berg;J. Edwards;M. Maire

  • Where to Buy It: Matching Street Clothing Photos in Online Shops

    M. Hadi Kiapour;Xufeng Han;Svetlana Lazebnik;Alexander C. Berg

  • Midge: Generating Image Descriptions From Computer Vision Detections

    Margaret Mitchell;Jesse Dodge;Amit Goyal;Kota Yamaguchi

  • Recognizing Action at a Distance

    Alexei A. Efros;Alexander C. Berg;Greg Mori;Jitendra Malik

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

Frequent Co-Authors

Tamara L. Berg
Tamara L. Berg University of North Carolina at Chapel Hill
Jia Deng
Jia Deng Princeton University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Yejin Choi
Yejin Choi Stanford University
Yung-Hsiang Lu
Yung-Hsiang Lu Purdue University West Lafayette
Jana Kosecka
Jana Kosecka George Mason University
Li Fei-Fei
Li Fei-Fei Stanford University
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Hal Daumé
Hal Daumé University of Maryland, College Park

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