World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
13288
World Ranking
8170
National Ranking
135

Ronen Feldman 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 Ronen Feldman 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Ronen Feldman 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 Ronen Feldman 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Ronen Feldman is affiliated with the Hebrew University of Jerusalem in Israel. Their research primarily focuses on the fields of Business, Management and Accounting, and Economics, Econometrics and Finance. Within these broad areas, specific subfields of study include Accounting, Finance, and Strategy and Management.

The main topics of Ronen Feldman's work cover several aspects of financial and corporate research. These topics include Auditing, Earnings Management, Governance; Financial Markets and Investment Strategies; Corporate Finance and Governance; and Financial Reporting and Valuation Research.

Ronen Feldman has published research in a number of venues, with contributions appearing in the Journal of Accounting and Public Policy, Journal of Financial Reporting, and SSRN Electronic Journal.

Recent published papers include:

  • Market reaction to quantitative and qualitative order backlog disclosures (2021, Journal of Accounting and Public Policy)
  • Orders Backlog in Earnings Conference Calls (2022, Journal of Financial Reporting)
  • Orders Backlog in Earnings Conference Calls (2020, SSRN Electronic Journal)

Frequent co-authors in Ronen Feldman's research include Suresh Govindaraj, Joshua Livnat, and Kate Suslava, each collaborating on multiple papers.

Best Publications

  • The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

    Ronen Feldman;James Sanger

  • Techniques and applications for sentiment analysis

    Ronen Feldman

  • Knowledge discovery in Textual Databases (KDT)

    Ronen Feldman;Ido Dagan

  • Mine Your Own Business: Market-Structure Surveillance Through Text Mining

    Oded Netzer;Ronen Feldman;Jacob Goldenberg;Moshe Fresko

  • Mining the biomedical literature in the genomic era: an overview.

    Hagit Shatkay;Ronen Feldman

  • Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

    Ronen Feldman;James Sanger

  • Text Mining at the Term Level

    Ronen Feldman;Moshe Fresko;Yakkov Kinar;Yehuda Lindell

  • Mining Text Using Keyword Distributions

    Ronen Feldman;Ido Dagan;Haym Hirsh

  • Mining associations in text in the presence of background knowledge

    Ronen Feldman;Haym Hirsh

  • Information, Trading, and Volatility: Evidence from Firm-Specific News

    Jacob Boudoukh;Ronen Feldman;Shimon Kogan;Matthew Richardson

  • Term-level text with mining with taxonomies

    Ronen Feldman;Yehonatan Aumann;Jonathan Schler;David Landau

  • Displaying Time-Series Data and Correlated Events Derived from Text Mining

    David Landau;Ronen Feldman;Orly Lipshatz;Yonatan Aumann

  • Knowledge Management: A Text Mining Approach

    R. Feldman;M. Fresko;H. Hirsh;Y. Aumann

  • Efficient Algorithms for Discovering Frequent Sets in Incremental Databases.

    Ronen Feldman;Yonatan Aumann;Amihood Amir;Heikki Mannila

  • Identifying and Following Expert Investors in Stock Microblogs

    Roy Bar-Haim;Elad Dinur;Ronen Feldman;Moshe Fresko

  • The Stock Sonar — Sentiment Analysis of Stocks Based on a Hybrid Approach

    Ronen Feldman;Benjamin Rosenfeld;Roy Bar-Haim;Moshe Fresko

  • Determining trends using text mining

    Ronen Feldman;Yehonatan Aumann;Yaron Ben-Yehuda;David Landau

  • Exploiting Background Information in Knowledge Discovery from Text

    Ronen Feldman;Haym Hirsh

  • Extracting Product Comparisons from Discussion Boards

    R. Feldman;M. Fresko;J. Goldenberg;O. Netzer

  • TEG—a hybrid approach to information extraction

    Ronen Feldman;Benjamin Rosenfeld;Moshe Fresko

Frequent Co-Authors

Joshua Livnat
Joshua Livnat New York University
Matthew Richardson
Matthew Richardson New York University
Amihood Amir
Amihood Amir Bar-Ilan University
Moshe Koppel
Moshe Koppel Bar-Ilan University
Haym Hirsh
Haym Hirsh Cornell University
Lyle H. Ungar
Lyle H. Ungar University of Pennsylvania
Ido Dagan
Ido Dagan Bar-Ilan University
Lise Getoor
Lise Getoor University of California, Santa Cruz
Oren Etzioni
Oren Etzioni University of Washington
Yehuda Lindell
Yehuda Lindell Bar-Ilan University

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