Craig Silverstein
Impact in
- Information Systems top 0.2%
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Signal Processing top 0.5%
- Data Management and Algorithms
Papers in
-
- Algorithms and Data Compression 9
- Advanced Clustering Algorithms Research 2
- Bayesian Modeling and Causal Inference 2
-
- Data Mining Algorithms and Applications 6
- Web Data Mining and Analysis 2
- Co-authors
- Rajeev Motwani (7 shared papers)Sergey Brin (5 shared papers)Monika Henzinger (3 shared papers)Hinrich Schütze (2 shared papers)Jeff Ullman (1 shared paper)Andrew V. Goldberg (3 shared papers)Jan Pedersen (3 shared papers)Boris V. Cherkassky (2 shared papers)
- Journals
- ACM SIGIR Forum (4 papers)Data Mining and Knowledge Discovery (2 papers)SIAM Journal on Computing (1 paper)Information Processing & Management (1 paper)ACM SIGMOD Record (1 paper)
- Partner nations
- United StatesHungaryRussia
In The Last Decade
Craig Silverstein
20 papers receiving 2.9k citations
Craig Silverstein's Hit Papers
Peers
Comparison fields: 5 of 118
- Information Systems 2.4k
- Signal Processing 912
- Computational Theory and Mathematics 1.1k
- Artificial Intelligence 1.5k
- Computer Networks and Communications 500
Countries citing papers authored by Craig Silverstein
This map shows the geographic impact of Craig Silverstein'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 Craig Silverstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Silverstein more than expected).
Fields of papers citing papers by Craig Silverstein
This network shows the impact of papers produced by Craig Silverstein. 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 Craig Silverstein. The network helps show where Craig Silverstein may publish in the future.
Co-authors
The 17 scholars most cited alongside Craig Silverstein, 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 | Beyond market baskets Hit paper breakdown → | 1997 | 1002 |
| 2 | Analysis of a very large web search engine query log Hit paper breakdown → | 1999 | 908 |
| 3 | 1998 | 291 | |
| 4 | 1997 | 251 | |
| 5 | 2000 | 175 | |
| 6 | 1997 | 170 | |
| 7 | Analysis of a Very Large AltaVista Query Log | 1998 | 119 |
| 8 | Scalable Techniques for Mining Causal Structures | 1998 | 80 |
| 9 | 1999 | 57 | |
| 10 | 1997 | 49 | |
| 11 | 2002 | 46 | |
| 12 | 1997 | 46 | |
| 13 | 1997 | 25 | |
| 14 | 1997 | 23 | |
| 15 | 1997 | 17 | |
| 16 | 1999 | 17 | |
| 17 | 1997 | 13 | |
| 18 | 1997 | 12 | |
| 19 | 2002 | 5 | |
| 20 | 2000 | 4 |
About Craig Silverstein
Craig Silverstein is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 20 papers that have together received 3.3k indexed citations. Recurring topics across this work include Algorithms and Data Compression (9 papers), Data Management and Algorithms (7 papers), Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (5 papers), Parallel Computing and Optimization Techniques (3 papers), Web Data Mining and Analysis (2 papers), Advanced Clustering Algorithms Research (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Information Systems (2.4k citations), Signal Processing (912 citations), Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (1.5k citations) and Computer Networks and Communications (500 citations). Craig Silverstein has collaborated with scholars based in United States, Hungary and Russia. Frequent co-authors include Rajeev Motwani, Sergey Brin, Monika Henzinger, Hinrich Schütze, Jeff Ullman, Andrew V. Goldberg, Jan Pedersen, Boris V. Cherkassky, Jeffrey D. Ullman and Leonidas Guibas. Their work appears in journals such as ACM SIGIR Forum, Data Mining and Knowledge Discovery, SIAM Journal on Computing, Information Processing & Management and ACM SIGMOD Record.
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.