Nir Ofek
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Imbalanced Data Classification Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
- Health Information Management top 10%
Papers in
-
- Topic Modeling 8
- Sentiment Analysis and Opinion Mining 4
- Imbalanced Data Classification Techniques 3
- Anomaly Detection Techniques and Applications 3
- Advanced Text Analysis Techniques 2
- Machine Learning and Data Classification 2
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- Mental Health via Writing 3
- Co-authors
- Lior Rokach (11 shared papers)Asaf Shabtai (5 shared papers)Roni Stern (1 shared paper)Gilad Katz (4 shared papers)Bracha Shapira (3 shared papers)J. Yen (2 shared papers)Prasenjit Mitra (2 shared papers)Prakhar Biyani (2 shared papers)
- Journals
- JNCI Monographs (1 paper)IEEE Internet Computing (1 paper)Neurocomputing (1 paper)Knowledge-Based Systems (1 paper)Cognitive Computation (1 paper)
- Partner nations
- IsraelUnited StatesSweden
In The Last Decade
Nir Ofek
15 papers receiving 297 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 242
- Health Information Management 22
- Health 21
- Communication 14
- Information Systems 44
Countries citing papers authored by Nir Ofek
This map shows the geographic impact of Nir Ofek'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 Nir Ofek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Ofek more than expected).
Fields of papers citing papers by Nir Ofek
This network shows the impact of papers produced by Nir Ofek. 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 Nir Ofek. The network helps show where Nir Ofek may publish in the future.
Co-authors
The 22 scholars most cited alongside Nir Ofek, 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 | 2017 | 105 | |
| 2 | 2013 | 74 | |
| 3 | 2015 | 48 | |
| 4 | 2016 | 32 | |
| 5 | 2013 | 11 | |
| 6 | 2011 | 8 | |
| 7 | 2014 | 6 | |
| 8 | 2015 | 6 | |
| 9 | 2012 | 6 | |
| 10 | 2014 | 4 | |
| 11 | 2013 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2014 | 1 |
About Nir Ofek
Nir Ofek is a scholar working on Artificial Intelligence, Social Psychology, Communication, Information Systems and Computer Networks and Communications, having authored 15 papers that have together received 309 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (4 papers), Mental Health via Writing (3 papers), Imbalanced Data Classification Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Text Analysis Techniques (2 papers), Machine Learning and Data Classification (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (242 citations), Health Information Management (22 citations), Health (21 citations), Communication (14 citations) and Information Systems (44 citations). Nir Ofek has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Lior Rokach, Asaf Shabtai, Roni Stern, Gilad Katz, Bracha Shapira, J. Yen, Prasenjit Mitra, Prakhar Biyani, Kenneth M. Portier and Greta E. Greer. Their work appears in journals such as JNCI Monographs, IEEE Internet Computing, Neurocomputing, Knowledge-Based Systems and Cognitive Computation.
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.