Benjamin Rosenfeld
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
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- Data Quality and Management
Papers in
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- Natural Language Processing Techniques 6
- Advanced Text Analysis Techniques 3
- Topic Modeling 3
- Text and Document Classification Technologies 2
- Semantic Web and Ontologies 1
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- Web Data Mining and Analysis 6
- Service-Oriented Architecture and Web Services 3
- Co-authors
- Ronen Feldman (12 shared papers)Moshe Fresko (4 shared papers)Roy Bar-Haim (1 shared paper)Yonatan Aumann (4 shared papers)Jonathan Schler (4 shared papers)Benjamin M. Segal (1 shared paper)Joshua Livnat (1 shared paper)Brian D. Davison (1 shared paper)
- Journals
- Knowledge and Information Systems (2 papers)Intelligent Data Analysis (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Benjamin Rosenfeld
11 papers receiving 246 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 200
- Management Science and Operations Research 57
- Information Systems 90
- Finance 19
- Signal Processing 13
Countries citing papers authored by Benjamin Rosenfeld
This map shows the geographic impact of Benjamin Rosenfeld'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 Benjamin Rosenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Rosenfeld more than expected).
Fields of papers citing papers by Benjamin Rosenfeld
This network shows the impact of papers produced by Benjamin Rosenfeld. 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 Benjamin Rosenfeld. The network helps show where Benjamin Rosenfeld may publish in the future.
Co-authors
The 8 scholars most cited alongside Benjamin Rosenfeld, 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 | 2011 | 59 | |
| 2 | 2005 | 44 | |
| 3 | 2007 | 39 | |
| 4 | Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web | 2007 | 32 |
| 5 | 2006 | 25 | |
| 6 | 2006 | 18 | |
| 7 | 2006 | 17 | |
| 8 | 2001 | 11 | |
| 9 | 2004 | 10 | |
| 10 | 2006 | 7 | |
| 11 | 2005 | 1 | |
| 12 | 2001 | 0 |
About Benjamin Rosenfeld
Benjamin Rosenfeld is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition and Accounting, having authored 12 papers that have together received 263 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Web Data Mining and Analysis (6 papers), Advanced Text Analysis Techniques (3 papers), Service-Oriented Architecture and Web Services (3 papers), Topic Modeling (3 papers), Text and Document Classification Technologies (2 papers), Stock Market Forecasting Methods (2 papers) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (200 citations), Management Science and Operations Research (57 citations), Information Systems (90 citations), Finance (19 citations) and Signal Processing (13 citations). Benjamin Rosenfeld has collaborated with scholars based in Israel and United States. Frequent co-authors include Ronen Feldman, Moshe Fresko, Roy Bar-Haim, Yonatan Aumann, Jonathan Schler, Benjamin M. Segal, Joshua Livnat and Brian D. Davison. Their work appears in journals such as Knowledge and Information Systems, Intelligent Data Analysis and Proceedings of the AAAI 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.