2026 David D. Lewis: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8561	8318	3659	3517	78	23265

Overview

David D. Lewis is an independent scientist and consultant based in the United States, with a focus spanning medicine and computer science. Their research output includes a substantial body of work in several specialized subfields and topics, reflecting interdisciplinary expertise across both sciences and technology.

The main fields of study for David D. Lewis include:

Medicine
Computer Science

Their work extends into key subfields such as:

Artificial Intelligence
Safety Research
Genetics
Sociology and Political Science
Plant Science

David D. Lewis's research covers diverse topics, prominently featuring:

Ethics and Social Impacts of AI
Chronic Lymphocytic Leukemia Research
Lymphoma Diagnosis and Treatment
Privacy, Security, and Data Protection
Privacy-Preserving Technologies in Data
Law, AI, and Intellectual Property
Industrial Vision Systems and Defect Detection

Among recent publications, notable papers include:

Molnupiravir plus usual care versus usual care alone as early treatment for adults with COVID-19 at increased risk of adverse outcomes (PANORAMIC): an open-label, platform-adaptive randomised controlled trial, 2022, The Lancet
Ethics and diversity in artificial intelligence policies, strategies and initiatives, 2022, AI and Ethics
Role of Coherent Systems in the Next DCI Generation, 2023, Journal of Lightwave Technology
Pirtobrutinib, a highly selective, non-covalent (reversible) BTK inhibitor in patients with B-cell malignancies: analysis of the Richter transformation subgroup from the multicentre, open-label, phase 1/2 BRUIN study, 2024, The Lancet Haematology
Global Challenges in the Standardization of Ethics for Trustworthy AI, 2020, Journal of ICT Standardization

Frequent collaborators include:

Harshvardhan J. Pandit
Delaram Golpayegani
Nirav N. Shah
Alvaro J. Alencar
Kim Linton

David D. Lewis has published extensively in venues such as:

Zenodo (CERN European Organization for Nuclear Research)
Clinical Lymphoma Myeloma & Leukemia
arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the International Display Workshops

The scientist has also contributed to book publications, including a title published by the Japan Society of Medical Entomology and Zoology:

Pencil drawing techniques, 2020

Best Publications

RCV1: A New Benchmark Collection for Text Categorization Research

David D. Lewis;Yiming Yang;Tony G. Rose;Fan Li

3506
Citations
Naive (Bayes) at forty: the independence assumption in information retrieval

David D. Lewis

3276
Citations
A sequential algorithm for training text classifiers

David D. Lewis;William A. Gale

3168
Citations
Heterogenous uncertainty sampling for supervised learning

David D. Lewis;Jason Catlett

1589
Citations
Large-Scale Bayesian Logistic Regression for Text Categorization

Alexander Genkin;David D Lewis;David Madigan

1049
Citations
An evaluation of phrasal and clustered representations on a text categorization task

David D. Lewis

954
Citations
Training algorithms for linear text classifiers

David D. Lewis;Robert E. Schapire;James P. Callan;Ron Papka

894
Citations
Feature selection and feature extraction for text categorization

David D. Lewis

873
Citations
Representation and Learning in Information Retrieval

David Dolan Lewis

642
Citations
Reuters-21578 Text Categorization Test Collection, Distribution 1.0

D. D. Lewis

594
Citations
Evaluating and optimizing autonomous text classification systems

David D. Lewis

541
Citations
Natural language processing for information retrieval

David D. Lewis;Karen Spärck Jones

495
Citations
The use of phrases and structured queries in information retrieval

W. Bruce Croft;Howard R. Turtle;David D. Lewis

440
Citations
Evaluating text categorization

David D. Lewis

412
Citations
Building a test collection for complex document information processing

D. Lewis;G. Agam;S. Argamon;O. Frieder

339
Citations
Finding an e-mail message to which another e-mail message is a response

Kimberly A. Knowles;David Dolan Lewis

295
Citations
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

291
Citations
A sequential algorithm for training text classifiers: corrigendum and additional data

David D. Lewis

277
Citations
On the Naive Bayes Model for Text Categorization.

Susana Eyheramendy;David D. Lewis;David Madigan

247
Citations
Evaluating message understanding systems: an analysis of the third message understanding conference (MUC-3)

Nancy Chinchor;David D. Lewis;Lynette Hirschman

232
Citations

Frequent Co-Authors

Ophir Frieder Georgetown University

Douglas W. Oard University of Maryland, College Park

David Madigan Northeastern University

Edith Cohen Tel Aviv University

Karen Sparck Jones University of Cambridge

Robert E. Schapire Microsoft (United States)

W. Bruce Croft University of Massachusetts Amherst

Iadh Ounis University of Glasgow

Trevor J. M. Bench-Capon University of Liverpool

Douglas Walton University of Windsor

External Links

Personal website of David D. Lewis Google Scholar page

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