2026 Edoardo M. Airoldi: 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	46	6650	6458	2938	2829	173	19941

Edoardo M. Airoldi 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 Edoardo M. Airoldi sits on this spectrum.

32 publications 991+

This scientist: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Edoardo M. Airoldi 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 Edoardo M. Airoldi sits on this spectrum.

30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% 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

2020 - Fellow of the American Statistical Association (ASA)
2012 - Fellow of Alfred P. Sloan Foundation

Overview

Edoardo M. Airoldi is affiliated with Temple University in the United States. Their research spans several fields within mathematics, particularly focusing on statistics and probability.

The scientist's recent publications include:

Stacking models for nearly optimal link prediction in complex networks, 2020, Proceedings of the National Academy of Sciences
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition), 2021, Americanae (AECID Library)
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks, 2020, Journal of the American Statistical Association
Induction of social contagion for diverse outcomes in structured experiments in isolated villages, 2024, Science
Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study, 2020, Journal of Medical Internet Research

Airoldi frequently collaborates with the following coauthors:

Laura Forastiere
Rachel R. Kelz
Luke Keele
Nicholas A. Christakis
Kathryn Turnbull

Their publications often appear in these venues:

arXiv (Cornell University)
Proceedings of the National Academy of Sciences
Journal of the American College of Surgeons
Journal of the American Statistical Association
UNC Libraries

The primary area of study is mathematics, with subfields including:

Statistics and Probability
General Health Professions
Statistical and Nonlinear Physics
Molecular Biology
Artificial Intelligence

Main topics addressed in their work consist of:

Advanced Causal Inference Techniques
Complex Network Analysis Techniques
Statistical Methods and Bayesian Inference
Statistical Methods and Inference
Bioinformatics and Genomic Networks
School Choice and Performance
Computational and Text Analysis Methods

Airoldi has been recognized as a Fellow of the American Statistical Association in 2020 and a Fellow of the Alfred P. Sloan Foundation in 2012.

Best Publications

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

8488
Citations
Mixed Membership Stochastic Blockmodels

Edoardo M. Airoldi;David M. Blei;Stephen E. Fienberg;Eric P. Xing

2491
Citations
A Survey of Statistical Network Models

Anna Goldenberg;Alice X. Zheng;Stephen E. Fienberg;Edoardo M. Airoldi

1058
Citations
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

895
Citations
A model of text for experimentation in the social sciences

Margaret E. Roberts;Brandon M. Stewart;Edoardo M. Airoldi

812
Citations
The structural topic model and applied social science

Margaret Roberts;Brandon Stewart;Dustin Tingley;Edoardo Airoldi

395
Citations
Stochastic blockmodels with a growing number of classes.

David S. Choi;Patrick J. Wolfe;Edoardo M. Airoldi

297
Citations
Summarizing topical content with word frequency and exclusivity

Jonathan Bischof;Edoardo M. Airoldi

273
Citations
Post-transcriptional regulation across human tissues.

Alexander Franks;Edoardo M. Airoldi;Nikolai Slavov

222
Citations
Quantitative visualization of alternative exon expression from RNA-seq data.

Yarden Katz;Eric T. Wang;Jacob Silterra;Schraga Schwartz

211
Citations
Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions

E. M. Airoldi;D. M. Blei;S. E. Fienberg;E. P. Xing

195
Citations
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation

Edoardo M Airoldi;Thiago B Costa;Stanley H Chan

192
Citations
Integrating utility into face de-identification

Ralph Gross;Edoardo Airoldi;Bradley Malin;Latanya Sweeney

191
Citations
Handbook of Mixed Membership Models and Their Applications

Edoardo M. Airoldi;David Blei;Elena A. Erosheva;Stephen E. Fienberg

184
Citations
Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links

Edoardo M. Airoldi;David M. Blei;Elena A. Erosheva;Stephen E. Fienberg

172
Citations
Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements

Edoardo M. Airoldi;David M. Blei;Elena A. Erosheva;Stephen E. Fienberg

166
Citations
A natural experiment of social network formation and dynamics

Tuan Q. Phan;Edoardo M. Airoldi

157
Citations
Improving and Evaluating Topic Models and Other Models of Text

Edoardo M. Airoldi;Jonathan M. Bischof

152
Citations
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks

Laura Forastiere;Edoardo M. Airoldi;Fabrizia Mealli

150
Citations
Stacking models for nearly optimal link prediction in complex networks.

Amir Ghasemian;Amir Ghasemian;Amir Ghasemian;Homa Hosseinmardi;Aram Galstyan;Edoardo M. Airoldi

145
Citations
Predicting Cellular Growth from Gene Expression Signatures

Edoardo M. Airoldi;Curtis Huttenhower;David Gresham;Charles Lu

140
Citations

Frequent Co-Authors

Stephen E. Fienberg Carnegie Mellon University

David M. Blei Columbia University

Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence

Bradley A. Malin Vanderbilt University Medical Center

Christopher B. Burge MIT

Evelina Gatti Aix-Marseille University

Dustin Tran Google (United States)

Olga G. Troyanskaya Princeton University

Alexander van Oudenaarden University Medical Center Utrecht

Beth Levine The University of Texas Southwestern Medical Center

External Links

Wikipedia of Edoardo M. Airoldi Personal website of Edoardo M. Airoldi

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