2026 Usama M. Fayyad: 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	63	2669	2589	1325	1276	171	43021

Usama M. Fayyad 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 Usama M. Fayyad sits on this spectrum.

32 publications 991+

This scientist: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Usama M. Fayyad 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 Usama M. Fayyad sits on this spectrum.

30 D-Index 131+

This scientist: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2006 - ACM Fellow For contributions to machine learning, data mining and knowledge discovery.
2005 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant research contributions to machine learning, data mining and KDD, exceptional service in founding a new AI subfield/community, and for successfully fielding and commercializing AI and KDD technologies.

Overview

Usama M. Fayyad is affiliated with Open Insights in the United States. Their research spans several areas within computer science, focusing particularly on management information systems, artificial intelligence, health informatics, safety research, and management science and operations research.

The scientist has contributed to multiple main topics, including:

Big Data and Business Intelligence
Artificial Intelligence in Healthcare and Education
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (XAI)
Data Quality and Management
Big Data Technologies and Applications
Machine Learning and Data Classification

Fayyad's recent publications include the following papers:

Analytics and Data Science Standardization and Assessment Framework, 2020, Harvard Data Science Review
From Stochastic Parrots to Intelligent Assistants-The Secrets of Data and Human Interventions, 2023, IEEE Intelligent Systems
From Unicorn Data Scientist to Key Roles in Data Science: Standardizing Roles, 2022, Harvard Data Science Review
How Can We Train Data Scientists When We Can't Agree on Who They Are?, 2021, Harvard Data Science Review

They have also co-authored with several frequent collaborators:

Hamit Hamutcu
Padhraic Smyth
Jia Li
Guang Cheng
Ranjan Maitra

Publication venues that frequently feature their work include:

Harvard Data Science Review
IEEE Intelligent Systems
Statistical Analysis and Data Mining The ASA Data Science Journal
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

In addition to journal articles, Usama M. Fayyad has contributed a book published by Springer Science+Business Media titled Advances in Knowledge Discovery and Data Mining (2021).

Awards received by the scientist include:

ACM Fellow (2006) for contributions to machine learning, data mining and knowledge discovery
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2005) for significant research contributions to machine learning, data mining and KDD, exceptional service in founding a new AI subfield/community, and commercialization of AI and KDD technologies

Best Publications

From Data Mining to Knowledge Discovery in Databases

Usama M. Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

12515
Citations
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning

Usama M. Fayyad;Keki B. Irani

4345
Citations
The KDD process for extracting useful knowledge from volumes of data

Usama Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

3521
Citations
From data mining to knowledge discovery: an overview

Usama M. Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

2214
Citations
Refining Initial Points for K-Means Clustering

Paul S. Bradley;Usama M. Fayyad

1783
Citations
Knowledge discovery and data mining: towards a unifying framework

Usama Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

1728
Citations
On the Handling of Continuous-Valued Attributes in Decision Tree Generation

Usama M. Fayyad;Keki B. Irani

1099
Citations
Scaling clustering algorithms to large databases

P. S. Bradley;Usama Fayyad;Cory Reina

1095
Citations
Information Visualization in Data Mining and Knowledge Discovery

Usama Fayyad;Georges G. Grinstein;Andreas Wierse

1054
Citations
Hierarchical Clustering Algorithms for Document Datasets

Ying Zhao;George Karypis;Usama Fayyad

904
Citations
Data mining and knowledge discovery in databases

Usama Fayyad;Ramasamy Uthurusamy

815
Citations
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining

Evangelos Simoudis;Jiawei Han;Usama Fayyad

543
Citations
Inferring Ground Truth from Subjective Labelling of Venus Images

Padhraic Smyth;Usama M. Fayyad;Michael C. Burl;Pietro Perona

360
Citations
Mathematical Programming for Data Mining: Formulations and Challenges

P. S. Bradley;Usama M. Fayyad;O. L. Mangasarian

360
Citations
Evolving data into mining solutions for insights

Usama Fayyad;Ramasamy Uthurusamy

359
Citations
The attribute selection problem in decision tree generation

Usama M. Fayyad;Keki B. Irani

357
Citations
Data mining and KDD: promise and challenges

Usama Fayyad;Paul Stolorz

336
Citations
Initialization of iterative refinement clustering algorithms

Usama Fayyad;Cory Reina;P. S. Bradley

303
Citations
Mining scientific data

Usama Fayyad;David Haussler;Paul Stolorz

286
Citations
On the handling of continuous-valued attributes in decision tree generation

Unknown

184
Citations
Knowledge discovery in databases: An overview

Usama Fayyad

54
Citations
The KDD process for extracting useful knowledge from volumes of data : Data mining and knowledge discovery in databases

U. Fayyad;G. Piatetsky-Shapiro;P. Smyth

16
Citations

Frequent Co-Authors

Padhraic Smyth University of California, Irvine

S. G. Djorgovski California Institute of Technology

Surajit Chaudhuri Microsoft (United States)

Michael C. Burl Jet Propulsion Lab

Pietro Perona California Institute of Technology

Alexander G. Gray Georgia Institute of Technology

Andrew Tomkins Google (United States)

David Haussler University of California, Santa Cruz

Jiawei Han University of Illinois at Urbana-Champaign

John E. Laird University of Michigan–Ann Arbor

External Links

Wikipedia of Usama M. Fayyad Personal website of Usama M. Fayyad Google Scholar page

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