World's Best Scientists 2026 revealed!
Paolo Papotti

Paolo Papotti

D-Index & Metrics

Computer Science

D-Index
33
Citations
4715
World Ranking
12674
National Ranking
323

Paolo Papotti 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 Paolo Papotti 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Paolo Papotti 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 Paolo Papotti sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Paolo Papotti is affiliated with EURECOM in France and has contributed extensively to the field of computer science, primarily focusing on artificial intelligence and data quality management. Their body of work includes numerous papers published across various reputable venues from 2020 to 2023.

Their recent publications include:

  • "Automated Fact-Checking for Assisting Human Fact-Checkers," 2021, Padua Research Archive (University of Padua)
  • "Transformers for Tabular Data Representation: A Survey of Models and Applications," 2023, Transactions of the Association for Computational Linguistics
  • "Crowdsourced Fact-Checking at Twitter," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • "Scrutinizer," 2020, Proceedings of the VLDB Endowment
  • "Mining Expressive Rules in Knowledge Graphs," 2020, Journal of Data and Information Quality

Paolo's frequent co-authors include:

  • Mohammed Saeed
  • Donatello Santoro
  • Naser Ahmadi
  • Enzo Veltri
  • Saravanan Thirumuruganathan

Key venues where Paolo Papotti has published are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the VLDB Endowment
  • Journal of Data and Information Quality
  • Proceedings of the ACM on Management of Data

Their research spans the broad field of computer science, with specializations in:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Sociology and Political Science
  • Computer Networks and Communications
  • Information Systems

Topics commonly addressed in their work include:

  • Topic Modeling
  • Data Quality and Management
  • Semantic Web and Ontologies
  • Natural Language Processing Techniques
  • Misinformation and Its Impacts
  • Advanced Graph Neural Networks
  • Advanced Database Systems and Queries

Best Publications

  • Holistic data cleaning: Putting violations into context

    Xu Chu;I. F. Ilyas;P. Papotti

  • KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing

    Xu Chu;John Morcos;Ihab F. Ilyas;Mourad Ouzzani

  • Discovering denial constraints

    Xu Chu;Ihab F. Ilyas;Paolo Papotti

  • Detecting data errors: where are we and what needs to be done?

    Ziawasch Abedjan;Xu Chu;Dong Deng;Raul Castro Fernandez

  • BigDansing: A System for Big Data Cleansing

    Zuhair Khayyat;Ihab F. Ilyas;Alekh Jindal;Samuel Madden

  • The LLUNATIC data-cleaning framework

    Floris Geerts;Giansalvatore Mecca;Paolo Papotti;Donatello Santoro

  • Nested mappings: schema mapping reloaded

    Ariel Fuxman;Mauricio A. Hernandez;Howard Ho;Renee J. Miller

  • Automated Fact-Checking for Assisting Human Fact-Checkers

    Preslav Nakov;David P. A. Corney;Maram Hasanain;Firoj Alam

  • Synthesizing entity matching rules by examples

    Rohit Singh;Venkata Vamsikrishna Meduri;Ahmed Elmagarmid;Samuel Madden

  • Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks

    Riccardo Cappuzzo;Paolo Papotti;Saravanan Thirumuruganathan

  • Benchmarking the Chase

    Michael Benedikt;George Konstantinidis;Giansalvatore Mecca;Boris Motik

  • Interactive and Deterministic Data Cleaning

    Jian He;Enzo Veltri;Donatello Santoro;Guoliang Li

  • Messing up with BART: error generation for evaluating data-cleaning algorithms

    Patricia C. Arocena;Boris Glavic;Giansalvatore Mecca;Renée J. Miller

  • DataXFormer: A robust transformation discovery system

    Ziawasch Abedjan;John Morcos;Ihab F. Ilyas;Mourad Ouzzani

  • Probabilistic models to reconcile complex data from inaccurate data sources

    Lorenzo Blanco;Valter Crescenzi;Paolo Merialdo;Paolo Papotti

  • Descriptive and prescriptive data cleaning

    Anup Chalamalla;Ihab F. Ilyas;Mourad Ouzzani;Paolo Papotti

  • ++Spicy: an open-source tool for second-generation schema mapping and data exchange

    Bruno Marnette;Giansalvatore Mecca;Paolo Papotti;Salvatore Raunich

  • Transformers for Tabular Data Representation: A Survey of Models and Applications

    Unknown

  • Core schema mappings

    Giansalvatore Mecca;Paolo Papotti;Salvatore Raunich

  • Clip: a Visual Language for Explicit Schema Mappings

    A. Raffio;D. Braga;S. Ceri;P. Papotti

  • Extraction and integration of partially overlapping web sources

    Mirko Bronzi;Valter Crescenzi;Paolo Merialdo;Paolo Papotti

  • Temporal rules discovery for web data cleaning

    Ziawasch Abedjan;Cuneyt G. Akcora;Mourad Ouzzani;Paolo Papotti

  • Robust Discovery of Positive and Negative Rules in Knowledge Bases

    Stefano Ortona;Venkata Vamsikrishna Meduri;Paolo Papotti

Frequent Co-Authors

Giansalvatore Mecca
Giansalvatore Mecca University of Basilicata
Mourad Ouzzani
Mourad Ouzzani Qatar Computing Research Institute
Nan Tang
Nan Tang Hong Kong University of Science and Technology (Guangzhou)
Ihab F. Ilyas
Ihab F. Ilyas University of Waterloo
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
Renée J. Miller
Renée J. Miller University of Toronto
Floris Geerts
Floris Geerts University of Antwerp
Felix Naumann
Felix Naumann Hasso Plattner Institute
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence

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