World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
17773
World Ranking
4963
National Ranking
2309

Research.com Recognitions

  • 2006 - ACM Senior Member

Overview

David M. Pennock is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the fields of Computer Science and Social Sciences, with a focus on several specialized subfields.

Their research areas encompass artificial intelligence and general social sciences. The main topics addressed in their publications include:

  • Explainable Artificial Intelligence (XAI)
  • Computational and Text Analysis Methods
  • Data Analysis with R
  • Machine Learning and Data Classification
  • Data Stream Mining Techniques

Pennock has contributed to three recent papers, which reflect ongoing work in prediction markets, peer prediction, and confidence estimation in published research. These papers are:

  • "A Synthetic Prediction Market for Estimating Confidence in Published Work," published in 2022 in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Synthetic Prediction Market for Estimating Confidence in Published Work," published in 2021 on arXiv (Cornell University)
  • "Stochastically Dominant Peer Prediction," published in 2025 on arXiv (Cornell University)

Frequent co-authors who have collaborated with Pennock in at least two publications include:

  • Sarah Rajtmajer
  • Christopher Griffin
  • Robert Fraleigh
  • Laxmaan Balaji
  • Anna Squicciarini

The venues where Pennock publishes regularly indicate a focus on both peer-reviewed conferences and open repositories. The most frequent venues are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence

David M. Pennock has been recognized with the ACM Senior Member award in 2006, reflecting their standing within the computing research community.

Best Publications

  • Mining the peanut gallery: opinion extraction and semantic classification of product reviews

    Kushal Dave;Steve Lawrence;David M. Pennock

  • Methods and metrics for cold-start recommendations

    Andrew I. Schein;Alexandrin Popescul;Lyle H. Ungar;David M. Pennock

  • Predicting consumer behavior with Web search

    Sharad Goel;Jake M. Hofman;Sébastien Lahaie;David M. Pennock

  • Using internet searches for influenza surveillance.

    Philip M. Polgreen;Yiling Chen;David M. Pennock;Forrest D. Nelson

  • Collaborative filtering by personality diagnosis: a hybrid memory- and model-based approach

    David M. Pennock;Eric Horvitz;Steve Lawrence;C. Lee Giles

  • Winners don't take all: Characterizing the competition for links on the web

    David M. Pennock;Gary William Flake;Steve Lawrence;Eric J. Glover

  • Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments

    Alexandrin Popescul;Lyle H. Ungar;David M. Pennock;Steve Lawrence

  • Using web structure for classifying and describing web pages

    Eric J. Glover;Kostas Tsioutsiouliklis;Steve Lawrence;David M. Pennock

  • Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms

    Juan Feng;Hemant K. Bhargava;David M. Pennock

  • Persistence of Web references in scientific research

    S. Lawrence;D.M. Pennock;G.W. Flake;R. Krovetz

  • Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering

    David M. Pennock;Eric Horvitz;C. Lee Giles

  • Naïve filterbots for robust cold-start recommendations

    Seung-Taek Park;David Pennock;Omid Madani;Nathan Good

  • Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach

    David M. Pennock;Eric Horvitz

  • A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains

    Dmitry Y. Pavlov;David M. Pennock

  • Improving category specific Web search by learning query modifications

    E.J. Glover;G.W. Flake;S. Lawrence;W.P. Birmingham

  • Revenue analysis of a family of ranking rules for keyword auctions

    Sébastien Lahaie;David M. Pennock

  • The structure of broad topics on the web

    Soumen Chakrabarti;Mukul M. Joshi;Kunal Punera;David M. Pennock

  • A Utility Framework for Bounded-Loss Market Makers

    Yiling Chen;David M Pennock

  • Sponsored Search Auctions

    Sébastien Lahaie;David M. Pennock;Amin Saberi;Rakesh V. Vohra

  • System and method for identifying media content items and related media content items

    Seung-Taek Park;David Myer Pennock

Frequent Co-Authors

Steve Lawrence
Steve Lawrence Google (United States)
C. Lee Giles
C. Lee Giles Pennsylvania State University
Gary W. Flake
Gary W. Flake Independent Scientist / Consultant, US
Yiling Chen
Yiling Chen Harvard University
Lyle H. Ungar
Lyle H. Ungar University of Pennsylvania
Sharad Goel
Sharad Goel Harvard University
Eric Horvitz
Eric Horvitz Microsoft (United States)
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor
David C. Parkes
David C. Parkes Harvard University
Joan Feigenbaum
Joan Feigenbaum Yale University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Choosing the right educational path in Computer Science is crucial for your future career. Many students start with online associate degrees to build foundational skills quickly and at lower tuition costs. This entry-level qualification can often be completed within two years and opens the door to many tech roles or further study.

For those looking to stand out in the job market, pursuing one of the best masters degree to get can offer numerous benefits, such as specialized knowledge, higher earning potential, and leadership opportunities. Some professionals opt for programs listed among the shortest master degree programs to advance their careers without spending several years in school.

In addition to formal degrees, targeted certifications play a significant role in career development. There are many easy certifications to get online that provide practical skills, boost résumés, and help professionals qualify for higher-paying jobs in less time.

Exploring these online degree and certification pathways can help you find the right balance between education, time, and potential salary growth in the dynamic field of Computer Science.

Best Scientists Citing David M. Pennock

Trending Scientists

Recently Published Articles