Mikhail Bilenko

4.9k citations
32 papers · 3.7k · 3 hit papers · h-index 20

Impact in

Papers in

    • Advanced Clustering Algorithms Research 5
    • Topic Modeling 5
    • Machine Learning and Data Classification 4
    • Web Data Mining and Analysis 7
    • Information Retrieval and Search Behavior 5
    • Recommender Systems and Techniques 5

Mikhail Bilenko

32 papers receiving 3.4k citations

Mikhail Bilenko's Hit Papers

A probabilistic framework for semi-supervised clustering 2004 · 624 citations
6240+7+15Years since publication200400600

Peers

Mikhail Bilenko
Comparison fields: 5 of 117
  • Management Science and Operations Research 1.3k
  • Artificial Intelligence 2.4k
  • Information Systems 1.3k
  • Signal Processing 612
  • Computer Vision and Pattern Recognition 788
Replace Shuai Ma with:
Shuai Ma China
Chris Cornelis Belgium
Dayne Freitag United States
Jun Ma China
Domonkos Tikk Hungary
S. K. M. Wong Canada
Fabian M. Suchanek Germany
Steven Minton United States
Yankai Lin China
Ming-Feng Tsai Taiwan
Mikhail Bilenko relative to Shuai Ma China Shuai Ma's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Mikhail Bilenko

Since Specialization
Citations

This map shows the geographic impact of Mikhail Bilenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikhail Bilenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Bilenko more than expected).

Fields of papers citing papers by Mikhail Bilenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Bilenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikhail Bilenko. The network helps show where Mikhail Bilenko may publish in the future.

Co-authors

The 25 scholars most cited alongside Mikhail Bilenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mikhail Bilenko Line = papers co-authored together Mikhail Bilenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adaptive duplicate detection using learnable string similarity measures
Hit paper breakdown →
2003723
2
Integrating constraints and metric learning in semi-supervised clustering
Hit paper breakdown →
2004637
3
A probabilistic framework for semi-supervised clustering
Hit paper breakdown →
2004624
4 2003366
5 2011183
6 2006181
7 2007160
8 2011145
9 2008126
10 200670
11
Comparing and Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering
200360
12 200354
13 200652
14
Learning to Combine Trained Distance Metrics for Duplicate Detection in Databases
200245
15 201144
16 201739
17 201638
18 200823
19 201523
20
Scaling up Machine Learning
201121

About Mikhail Bilenko

Mikhail Bilenko is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Signal Processing and Statistical and Nonlinear Physics, having authored 32 papers that have together received 3.7k indexed citations. Recurring topics across this work include Data Quality and Management (9 papers), Web Data Mining and Analysis (7 papers), Advanced Clustering Algorithms Research (5 papers), Information Retrieval and Search Behavior (5 papers), Topic Modeling (5 papers), Recommender Systems and Techniques (5 papers), Data Management and Algorithms (4 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Artificial Intelligence (2.4k citations), Information Systems (1.3k citations), Signal Processing (612 citations) and Computer Vision and Pattern Recognition (788 citations). Mikhail Bilenko has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Raymond J. Mooney, Sugato Basu, Ryen W. White, John Langford, Ron Bekkerman, Pradeep Ravikumar, William W. Cohen, Stephen E. Fienberg, Silviu Cucerzan and Matthew Richardson. Their work appears in journals such as IEEE Intelligent Systems, ACM Transactions on the Web, ACM SIGIR Forum, National Conference on Artificial Intelligence and Society for Industrial and Applied Mathematics eBooks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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