Oren Glickman
- Artificial Intelligence top 2%
- Global and Planetary Change
- Information Systems top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Ido DaganPedro J. MorenoMoshe KoppelItamar M. LenskyDavid HelmanS. BrennerYaron MichaelRoy Bar-Haim
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (14 papers)Advanced Text Analysis Techniques (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentScientific Reports
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Oren Glickman
26 papers receiving 661 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 650
- Global and Planetary Change 82
- Information Systems 73
- Signal Processing 68
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Oren Glickman
This map shows the geographic impact of Oren Glickman'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 Oren Glickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oren Glickman more than expected).
Fields of papers citing papers by Oren Glickman
This network shows the impact of papers produced by Oren Glickman. 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 Oren Glickman. The network helps show where Oren Glickman may publish in the future.
Co-authorship network of co-authors of Oren Glickman
This figure shows the co-authorship network connecting the top 25 collaborators of Oren Glickman. A scholar is included among the top collaborators of Oren Glickman 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 Oren Glickman. Oren Glickman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | Forecasting Fire Risk With Machine Learning And Dynamic Information Derived From Satellite Vegetation Index Time-Series | 2 |
| 8 | 84 | |
| 9 | 32 | |
| 10 | 9 | |
| 11 | 41 | |
| 12 | A probabilistic classification approach for lexical textual entailment | 26 |
| 13 | A probabilistic lexical approach to textual entailment | 4 |
| 14 | The pascal recognising textual entailment challenge | 241 |
| 15 | 26 | |
| 16 | PROBABILISTIC TEXTUAL ENTAILMENT: GENERIC APPLIED MODELING OF LANGUAGE VARIABILITY | 128 |
| 17 | 17 | |
| 18 | Examining Machine Learning for Adaptable End-to-End Information Extraction Systems | 4 |
| 19 | 7 | |
| 20 | 8 |
About Oren Glickman
Oren Glickman is a scholar working on Artificial Intelligence, Global and Planetary Change and Language and Linguistics, having authored 27 papers that have together received 791 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (650 citations), Signal Processing (68 citations) and Global and Planetary Change (82 citations). Oren Glickman has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Ido Dagan, Pedro J. Moreno, Moshe Koppel, Itamar M. Lensky, David Helman, S. Brenner, Yaron Michael, Roy Bar-Haim, Idan Szpektor and Carlo Strapparava. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.
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.