World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
22044
World Ranking
1420
National Ranking
739

Norman Sadeh 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 Norman Sadeh 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: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Norman Sadeh 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 Norman Sadeh 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Norman Sadeh is a researcher affiliated with Carnegie Mellon University in the United States. Their work spans multiple fields, with notable contributions in Computer Science and Social Sciences. Within these domains, specific subfields of study include Sociology and Political Science, Artificial Intelligence, Information Systems, Clinical Psychology, and Signal Processing.

The research topics covered by Norman Sadeh reflect a focus on privacy and security, alongside work addressing societal impacts of technology. Main topics include:

  • Privacy, Security, and Data Protection
  • Hate Speech and Cyberbullying Detection
  • Sexuality, Behavior, and Technology
  • Privacy-Preserving Technologies in Data
  • Advanced Malware Detection Techniques
  • Explainable Artificial Intelligence (XAI)
  • Spam and Phishing Detection

Norman Sadeh's publication record includes numerous papers in diverse venues, highlighting interdisciplinary research interests. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings on Privacy Enhancing Technologies
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Computing

Recent papers published by Norman Sadeh feature a mix of topics related to social media, privacy, and data protection. Some examples include:

  • "The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions" (2020), published in OPAL (Open@LaTrobe) (La Trobe University)
  • "Expecting the Unexpected: Understanding Mismatched Privacy Expectations Online" (2020), published in OPAL (Open@LaTrobe) (La Trobe University)
  • "An Empirical Analysis of Data Deletion and Opt-Out Choices on 150 Websites" (2020), published in OPAL (Open@LaTrobe) (La Trobe University)
  • "Awareness, Adoption, and Misconceptions of Web Privacy Tools" (2021), published in Proceedings on Privacy Enhancing Technologies

Norman Sadeh often collaborates with other researchers. Frequent coauthors include:

  • Yaxing Yao
  • Lorrie Faith Cranor
  • Alessandro Acquisti
  • Florian Schaub
  • Shikun Zhang

Best Publications

  • The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City

    Justin Cranshaw;Raz Schwartz;Jason I. Hong;Norman M. Sadeh

  • Modeling Supply Chain Dynamics: A Multiagent Approach

    Jayashankar M. Swaminathan;Stephen F. Smith;Norman M. Sadeh

  • Learning to detect phishing emails

    Ian Fette;Norman Sadeh;Anthony Tomasic

  • Bridging the gap between physical location and online social networks

    Justin Cranshaw;Eran Toch;Jason Hong;Aniket Kittur

  • A framework of energy efficient mobile sensing for automatic user state recognition

    Yi Wang;Jialiu Lin;Murali Annavaram;Quinn A. Jacobson

  • Expectation and purpose: understanding users' mental models of mobile app privacy through crowdsourcing

    Jialiu Lin;Shahriyar Amini;Jason I. Hong;Norman Sadeh

  • Nudges for Privacy and Security: Understanding and Assisting Users’ Choices Online

    Alessandro Acquisti;Idris Adjerid;Rebecca Balebako;Laura Brandimarte

  • M-Commerce: Technologies, Services, and Business Models

    Norman M. Sadeh

  • Why people hate your app: making sense of user feedback in a mobile app store

    Bin Fu;Jialiu Lin;Lei Li;Christos Faloutsos

  • Understanding and capturing people's privacy policies in a mobile social networking application

    Norman Sadeh;Jason Hong;Lorrie Cranor;Ian Fette

  • Your Location has been Shared 5,398 Times!: A Field Study on Mobile App Privacy Nudging

    Hazim Almuhimedi;Florian Schaub;Norman Sadeh;Idris Adjerid

  • A conundrum of permissions: installing applications on an android smartphone

    Patrick Gage Kelley;Sunny Consolvo;Lorrie Faith Cranor;Jaeyeon Jung

  • Privacy as part of the app decision-making process

    Patrick Gage Kelley;Lorrie Faith Cranor;Norman Sadeh

  • Look-ahead techniques for micro-opportunistic job shop scheduling

    Norman M. Sadeh

  • Stress Test Evaluation for Natural Language Inference

    Aakanksha Naik;Abhilasha Ravichander;Norman M. Sadeh;Carolyn Penstein Rosé

  • Distributed constrained heuristic search

    K. Sycara;S.F. Roth;N. Sadeh;M.S. Fox

  • Toward Abstractive Summarization Using Semantic Representations

    Fei Liu;Jeffrey Flanigan;Sam Thomson;Norman M. Sadeh

  • Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings

    Jialiu Lin;Bin Liu;Norman M. Sadeh;Jason I. Hong

  • Semantic Web Technologies to Reconcile Privacy and Context Awareness

    Fabien L. Gandon;Norman M. Sadeh

  • Variable and value ordering heuristics for the job shop scheduling constraint satisfaction problem

    Norman Sadeh;Mark S. Fox

  • Privacy as Part of the App Decision-Making Process (CMU-CyLab-13-003)

    Patrick Gage Kelley;Lorrie Faith Cranor;Norman Sadeh

Frequent Co-Authors

Lorrie Faith Cranor
Lorrie Faith Cranor Carnegie Mellon University
Jason Hong
Jason Hong Carnegie Mellon University
Patrick Gage Kelley
Patrick Gage Kelley University of New Mexico
Florian Schaub
Florian Schaub University of Michigan–Ann Arbor
Alessandro Acquisti
Alessandro Acquisti Carnegie Mellon University
Mark S. Fox
Mark S. Fox University of Toronto
Fabien Gandon
Fabien Gandon French Institute for Research in Computer Science and Automation - INRIA
Katia Sycara
Katia Sycara Carnegie Mellon University
Onn Shehory
Onn Shehory Bar-Ilan University
Stephen F. Smith
Stephen F. Smith Carnegie Mellon University

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