2026 Marc Najork: 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	59	3421	3325	1655	1596	190	14008

Research.com Recognitions

2020 - IEEE Fellow For contributions to web crawling and web data processing
2019 - ACM Fellow For contributions to web search and web science
2008 - ACM Distinguished Member

Overview

Marc Najork is affiliated with Google in the United States. Their primary field of research is Computer Science, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Statistical and Nonlinear Physics.

Their research topics include:

Topic Modeling
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Recommender Systems and Techniques
Natural Language Processing Techniques
Data Quality and Management
Personal Information Management and User Behavior

Najork has published extensively in venues such as:

arXiv (Cornell University)
ACM SIGIR Forum
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
ACM Transactions on Information Systems

Some recent papers authored or co-authored by Najork include:

"Rethinking search," 2021, ACM SIGIR Forum
"Learning-to-Rank with BERT in TF-Ranking," 2020, arXiv (Cornell University)
"Rethinking Search: Making Domain Experts out of Dilettantes," 2021, arXiv (Cornell University)
"Revisiting Two-tower Models for Unbiased Learning to Rank," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
"Scale Calibration of Deep Ranking Models," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Najork has collaborated frequently with researchers including Michael Bendersky, Xuanhui Wang, Donald Metzler, Honglei Zhuang, and Yi Tay.

Najork has been recognized with several awards:

IEEE Fellow (2020) for contributions to web crawling and web data processing
ACM Fellow (2019) for contributions to web search and web science
ACM Distinguished Member (2008)

Best Publications

Mercator: A scalable, extensible Web crawler

Allan Heydon;Marc Najork

904
Citations
Detecting spam web pages through content analysis

Alexandros Ntoulas;Marc Najork;Mark Manasse;Dennis Fetterly

899
Citations
A large-scale study of the evolution of web pages

Dennis Fetterly;Mark Manasse;Marc Najork;Janet L. Wiener

804
Citations
Breadth-first crawling yields high-quality pages

Marc Najork;Janet L. Wiener

633
Citations
Web Crawling

Christopher Olston;Marc Najork

520
Citations
A large-scale study of the evolution of web pages

Dennis Fetterly;Mark Manasse;Marc Najork;Janet Wiener

490
Citations
Spam, damn spam, and statistics: using statistical analysis to locate spam web pages

Dennis Fetterly;Mark Manasse;Marc Najork

469
Citations
On near-uniform URL sampling

Monika R. Henzinger;Allan Heydon;Michael Mitzenmacher;Marc Najork

351
Citations
Web Services Business Process Execution Language

Unknown

332
Citations
Learning to Rank with Selection Bias in Personal Search

Xuanhui Wang;Michael Bendersky;Donald Metzler;Marc Najork

312
Citations
Position Bias Estimation for Unbiased Learning to Rank in Personal Search

Xuanhui Wang;Nadav Golbandi;Michael Bendersky;Donald Metzler

297
Citations
Boxwood: abstractions as the foundation for storage infrastructure

John MacCormick;Nick Murphy;Marc Najork;Chandramohan A. Thekkath

283
Citations
Breadth-First Search Crawling Yields High-Quality Pages

Marc Najork;Janet L. Wiener

276
Citations
On the evolution of clusters of near-duplicate Web pages

D. Fetterly;M. Manasse;M. Najork

234
Citations
Method for providing social network recommended content

Harrington Timothy;Shenoy Rajesh;Najork Marc;Panigrahy Rina

210
Citations
Measuring index quality using random walks on the Web

Monika R. Henzinger;Allan Heydon;Michael Mitzenmacher;Marc Najork

206
Citations
High-performance web crawling

Marc Najork;Allan Heydon

200
Citations
Web crawler system and method for prioritizing document downloading and maintaining document freshness

Marc A. Najork;Clark A. Heydon;Janet L. Wiener

198
Citations
Detecting phrase-level duplication on the world wide web

Dennis Fetterly;Mark Manasse;Marc Najork

189
Citations
A sketch-based distance oracle for web-scale graphs

Atish Das Sarma;Sreenivas Gollapudi;Marc Najork;Rina Panigrahy

176
Citations
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

Krishna Srinivasan;Karthik Raman;Jiecao Chen;Michael Bendersky

129
Citations
Proceedings of the 2008 International Conference on Web Search and Data Mining

Marc Najork;Andrei Broder;Soumen Chakrabarti

67
Citations

Frequent Co-Authors

Michael Bendersky Google (United States)

Xuanhui Wang Google (United States)

Donald Metzler Google (United States)

Rina Panigrahy Google (United States)

Mark S. Manasse Microsoft (United States)

Nick Craswell Microsoft (United States)

Qi Zhao University of Minnesota

Chandramohan A. Thekkath Microsoft (United States)

Andrei Z. Broder Google (United States)

Catherine C. Marshall Texas A&M University

External Links

Personal website of Marc Najork Google Scholar page

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