Moshe Fresko
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Marketing top 2%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Ronen FeldmanJacob GoldenbergOded NetzerBenjamin RosenfeldRoy Bar-HaimYonatan AumannLyle UngarMartin Rajman
- Topics
- Natural Language Processing Techniques (7 papers)Topic Modeling (6 papers)Advanced Text Analysis Techniques (6 papers)
- Journals
- Marketing ScienceKnowledge and Information SystemsJournal of Intelligent Information Systems
- Partner nations
- IsraelUnited States
In The Last Decade
Moshe Fresko
14 papers receiving 869 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 426
- Sociology and Political Science 416
- Marketing 297
- Information Systems 157
- Management Science and Operations Research 145
Countries citing papers authored by Moshe Fresko
This map shows the geographic impact of Moshe Fresko'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 Moshe Fresko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Fresko more than expected).
Fields of papers citing papers by Moshe Fresko
This network shows the impact of papers produced by Moshe Fresko. 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 Moshe Fresko. The network helps show where Moshe Fresko may publish in the future.
Co-authorship network of co-authors of Moshe Fresko
This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Fresko. A scholar is included among the top collaborators of Moshe Fresko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moshe Fresko. Moshe Fresko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Mine Your Own Business: Market-Structure Surveillance Through Text Miningbreakdown → | 522 |
| 2 | Identifying and Following Expert Investors in Stock Microblogs | 64 |
| 3 | 73 | |
| 4 | 59 | |
| 5 | 18 | |
| 6 | 48 | |
| 7 | A Hybrid Approach to NER by Integrating Manual Rules into MEMM. | 1 |
| 8 | 11 | |
| 9 | 44 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | Knowledge Management: A Text Mining Approach | 62 |
About Moshe Fresko
Moshe Fresko is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 14 papers that have together received 942 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Marketing (297 citations), Tourism, Leisure and Hospitality Management (23 citations) and Artificial Intelligence (426 citations). Moshe Fresko has collaborated with scholars based in Israel and United States. Frequent co-authors include Ronen Feldman, Jacob Goldenberg, Oded Netzer, Benjamin Rosenfeld, Roy Bar-Haim, Yonatan Aumann, Lyle Ungar, Martin Rajman, Haym Hirsh and Amihood Amir. Their work appears in journals such as Marketing Science, Knowledge and Information Systems and Journal of Intelligent Information Systems.
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.