Guy Feigenblat
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 6
- Machine Learning and Algorithms 5
- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 3
- Algorithms and Data Compression 3
- Co-authors
- Haggai Roitman (8 shared papers)David Konopnicki (6 shared papers)Aharon Rabinkov (1 shared paper)Irina Shin (1 shared paper)David Mirelman (1 shared paper)Talia Miron (1 shared paper)Meir Wilchek (1 shared paper)Lev Weiner (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Algorithmica (1 paper)IBM Journal of Research and Development (1 paper)Information and Computation (1 paper)Journal of Computer and System Sciences (1 paper)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Guy Feigenblat
25 papers receiving 313 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 185
- Signal Processing 26
- Information Systems 53
- Marketing 21
- Plant Science 80
Countries citing papers authored by Guy Feigenblat
This map shows the geographic impact of Guy Feigenblat'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 Guy Feigenblat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Feigenblat more than expected).
Fields of papers citing papers by Guy Feigenblat
This network shows the impact of papers produced by Guy Feigenblat. 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 Guy Feigenblat. The network helps show where Guy Feigenblat may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Feigenblat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 92 | |
| 2 | 2014 | 44 | |
| 3 | 2017 | 34 | |
| 4 | 2016 | 26 | |
| 5 | 2020 | 23 | |
| 6 | 2016 | 20 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2011 | 8 | |
| 15 | 2011 | 6 | |
| 16 | 2011 | 3 | |
| 17 | 2010 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2016 | 2 |
About Guy Feigenblat
Guy Feigenblat is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 25 papers that have together received 350 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers), Machine Learning and Algorithms (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Caching and Content Delivery (3 papers), Advanced Text Analysis Techniques (3 papers), Data Quality and Management (3 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Artificial Intelligence (185 citations), Signal Processing (26 citations), Information Systems (53 citations), Marketing (21 citations) and Plant Science (80 citations). Guy Feigenblat has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Haggai Roitman, David Konopnicki, Aharon Rabinkov, Irina Shin, David Mirelman, Talia Miron, Meir Wilchek, Lev Weiner, Michal Shmueli-Scheuer and Ely Porat. Their work appears in journals such as Theoretical Computer Science, Algorithmica, IBM Journal of Research and Development, Information and Computation and Journal of Computer and System Sciences.
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.