World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13361
World Ranking
4282
National Ranking
17

Panos Kalnis 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 Panos Kalnis 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Panos Kalnis 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 Panos Kalnis 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Panos Kalnis is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research spans multiple aspects of computer science, with a focus on artificial intelligence, signal processing, computer vision and pattern recognition, molecular biology, and information systems. Their scholarly output includes 40 publications in the field of computer science and 20 specifically in artificial intelligence.

The scientist's research covers a range of topics including:

  • Topic Modeling
  • Data Management and Algorithms
  • Advanced Graph Neural Networks
  • Sparse and Compressive Sensing Techniques
  • Natural Language Processing Techniques
  • Human Mobility and Location-Based Analysis
  • Recommender Systems and Techniques

They have published articles in several notable venues, among which are:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the ACM on Management of Data
  • The VLDB Journal
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Their recent papers include the following:

  • "Top-k term publish/subscribe for geo-textual data streams", 2020, The VLDB Journal
  • "A Universal Question-Answering Platform for Knowledge Graphs", 2023, Proceedings of the ACM on Management of Data
  • "ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots", 2023, arXiv (Cornell University)
  • "Rethinking gradient sparsification as total error minimization", 2021, arXiv (Cornell University)
  • "Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects", 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Frequent collaborators of Panos Kalnis include:

  • Shuo Shang
  • Lisi Chen
  • Christian S. Jensen
  • Reham Omar
  • Aritra Dutta

Best Publications

  • Private queries in location based services: anonymizers are not necessary

    Gabriel Ghinita;Panos Kalnis;Ali Khoshgozaran;Cyrus Shahabi

  • Preventing Location-Based Identity Inference in Anonymous Spatial Queries

    P. Kalnis;G. Ghinita;K. Mouratidis;D. Papadias

  • PRIVE: anonymous location-based queries in distributed mobile systems

    Gabriel Ghinita;Panos Kalnis;Spiros Skiadopoulos

  • On discovering moving clusters in spatio-temporal data

    Panos Kalnis;Nikos Mamoulis;Spiridon Bakiras

  • Efficient OLAP Operations in Spatial Data Warehouses

    Dimitris Papadias;Panos Kalnis;Jun Zhang;Yufei Tao

  • Privacy-preserving anonymization of set-valued data

    Manolis Terrovitis;Nikos Mamoulis;Panos Kalnis

  • Mizan: a system for dynamic load balancing in large-scale graph processing

    Zuhair Khayyat;Karim Awara;Amani Alonazi;Hani Jamjoom

  • Fast data anonymization with low information loss

    Gabriel Ghinita;Panagiotis Karras;Panos Kalnis;Nikos Mamoulis

  • GraMi: frequent subgraph and pattern mining in a single large graph

    Mohammed Elseidy;Ehab Abdelhamid;Spiros Skiadopoulos;Panos Kalnis

  • Quality and efficiency in high dimensional nearest neighbor search

    Yufei Tao;Ke Yi;Cheng Sheng;Panos Kalnis

  • In-Network Computation is a Dumb Idea Whose Time Has Come

    Amedeo Sapio;Ibrahim Abdelaziz;Abdulla Aldilaijan;Marco Canini

  • On the Anonymization of Sparse High-Dimensional Data

    G. Ghinita;Yufei Tao;P. Kalnis

  • MobiHide: A Mobilea Peer-to-Peer System for Anonymous Location-Based Queries

    Gabriel Ghinita;Panos Kalnis;Spiros Skiadopoulos

  • Indexing spatio-temporal data warehouses

    D. Papadias;Yufei Tao;P. Kanis;Jun Zhang

  • Similarity evaluation on tree-structured data

    Rui Yang;Panos Kalnis;Anthony K. H. Tung

  • Scaling Distributed Machine Learning with In-Network Aggregation

    Amedeo Sapio;Marco Canini;Chen-Yu Ho;Jacob Nelson

  • An adaptive peer-to-peer network for distributed caching of OLAP results

    Panos Kalnis;Wee Siong Ng;Beng Chin Ooi;Dimitris Papadias

  • User oriented trajectory search for trip recommendation

    Shuo Shang;Ruogu Ding;Bo Yuan;Kexin Xie

  • Personalized trajectory matching in spatial networks

    Shuo Shang;Ruogu Ding;Kai Zheng;Christian S. Jensen

  • Trajectory similarity join in spatial networks

    Shuo Shang;Lisi Chen;Zhewei Wei;Christian S. Jensen

  • Location Diversity: Enhanced Privacy Protection in Location Based Services

    Mingqiang Xue;Panos Kalnis;Hung Keng Pung

  • Authenticated join processing in outsourced databases

    Yin Yang;Dimitris Papadias;Stavros Papadopoulos;Panos Kalnis

Frequent Co-Authors

Nikos Mamoulis
Nikos Mamoulis University of Ioannina
Gabriel Ghinita
Gabriel Ghinita Hamad bin Khalifa University
Christian S. Jensen
Christian S. Jensen Aalborg University
Dimitris Papadias
Dimitris Papadias Hong Kong University of Science and Technology
Vladimir B. Bajic
Vladimir B. Bajic King Abdullah University of Science and Technology
Kai Zheng
Kai Zheng University of Electronic Science and Technology of China
Marco Canini
Marco Canini King Abdullah University of Science and Technology
Kian-Lee Tan
Kian-Lee Tan National University of Singapore
Mourad Ouzzani
Mourad Ouzzani Qatar Computing Research Institute
Shuo Shang
Shuo Shang University of Electronic Science and Technology of China

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