Mikhail Bilenko
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- Data Quality and Management 9
- Artificial Intelligence top 0.5%
- Topic Modeling 5
- Privacy-Preserving Technologies in Data 4
- Advanced Clustering Algorithms Research 4
- Machine Learning and Algorithms 3
- Signal Processing top 1%
- Information Systems top 0.5%
- Web Data Mining and Analysis 7
- Information Retrieval and Search Behavior 5
- Recommender Systems and Techniques 4
- Co-authors
- Raymond J. MooneySugato BasuRyen W. WhiteJohn LangfordRon BekkermanWilliam W. CohenPradeep RavikumarStephen E. Fienberg
- Journals
- ACM Transactions on the Web (1 paper)IEEE Intelligent Systems (1 paper)ACM SIGIR Forum (1 paper)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Mikhail Bilenko
29 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Management Science and Operations Research 1.0k
- Artificial Intelligence 1.9k
- Signal Processing 493
- Information Systems 1.0k
- Computer Vision and Pattern Recognition 649
Countries citing papers authored by Mikhail Bilenko
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 37 | |
| 2 | Lazy paired hyper-parameter tuning | 2013 | 7 |
| 3 | 2012 | 3 | |
| 4 | Axiomatic Analysis of Co-occurrence Similarity Functions | 2012 | 2 |
| 5 | Targeted, Not Tracked: Client-Side Solutions for Privacy-Friendly Behavioral Advertising | 2011 | 11 |
| 6 | 2011 | 136 | |
| 7 | Scaling up Machine Learning | 2011 | 14 |
| 8 | 2009 | 12 | |
| 9 | 2009 | 2 | |
| 10 | 2008 | 114 | |
| 11 | 2008 | 20 | |
| 12 | 2008 | 13 | |
| 13 | Intelligent information acquisition for improved clustering | 2007 | 1 |
| 14 | 2007 | 134 | |
| 15 | 2006 | 151 | |
| 16 | Learnable similarity functions and their applications to clustering and record linkage | 2004 | 7 |
| 17 | A probabilistic framework for semi-supervised clusteringbreakdown → | 2004 | 512 |
| 18 | Integrating constraints and metric learning in semi-supervised clusteringbreakdown → | 2004 | 525 |
| 19 | Employing Trainable String Similarity Metrics for Information Integration | 2003 | 10 |
| 20 | Comparing and Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering | 2003 | 54 |
About Mikhail Bilenko
Mikhail Bilenko is a scholar working on Management Science and Operations Research, Artificial Intelligence, Information Systems, Signal Processing and Statistical and Nonlinear Physics, having authored 29 papers that have together received 3.0k indexed citations. Recurring topics across this work include Data Quality and Management (9 papers), Web Data Mining and Analysis (7 papers), Topic Modeling (5 papers), Information Retrieval and Search Behavior (5 papers), Privacy-Preserving Technologies in Data (4 papers), Recommender Systems and Techniques (4 papers), Advanced Clustering Algorithms Research (4 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Artificial Intelligence (1.9k citations), Signal Processing (493 citations), Information Systems (1.0k citations) and Computer Vision and Pattern Recognition (649 citations). Mikhail Bilenko has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Raymond J. Mooney, Sugato Basu, Ryen W. White, John Langford, Ron Bekkerman, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg, Silviu Cucerzan and Matthew Richardson. Their work appears in journals such as ACM Transactions on the Web, IEEE Intelligent Systems, ACM SIGIR Forum, arXiv (Cornell University) and International Joint Conference on Artificial Intelligence.
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.