Dan Assaf
Impact in
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- Language, Metaphor, and Cognition
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Papers in
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- Advanced Text Analysis Techniques 5
- Natural Language Processing Techniques 5
- Topic Modeling 2
- Semantic Web and Ontologies 1
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- Language, Metaphor, and Cognition 5
- Co-authors
- Yair Neuman (11 shared papers)Yohai Cohen (6 shared papers)Peter D. Turney (1 shared paper)Newton Howard (2 shared papers)Mark Last (2 shared papers)Shlomo Argamon (2 shared papers)James L. Knoll (1 shared paper)Moshe Koppel (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)Information Fusion (1 paper)Frontiers in Psychiatry (1 paper)Sign Systems Studies (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Dan Assaf
10 papers receiving 315 citations
Peers
Comparison fields: 5 of 44
- Experimental and Cognitive Psychology 216
- Artificial Intelligence 243
- Applied Psychology 26
- Social Psychology 89
- Communication 23
Countries citing papers authored by Dan Assaf
This map shows the geographic impact of Dan Assaf'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 Dan Assaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Assaf more than expected).
Fields of papers citing papers by Dan Assaf
This network shows the impact of papers produced by Dan Assaf. 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 Dan Assaf. The network helps show where Dan Assaf may publish in the future.
Co-authors
The 9 scholars most cited alongside Dan Assaf, 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 | Literal and Metaphorical Sense Identification through Concrete and Abstract Context | 2011 | 175 |
| 2 | 2013 | 68 | |
| 3 | 2012 | 47 | |
| 4 | 2013 | 21 | |
| 5 | 2015 | 16 | |
| 6 | 2012 | 7 | |
| 7 | 2012 | 6 | |
| 8 | 2015 | 5 | |
| 9 | 2015 | 2 | |
| 10 | 2015 | 2 | |
| 11 | 2017 | 0 |
About Dan Assaf
Dan Assaf is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Social Psychology, Clinical Psychology and Cognitive Neuroscience, having authored 11 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (5 papers), Natural Language Processing Techniques (5 papers), Language, Metaphor, and Cognition (5 papers), Mental Health via Writing (2 papers), Topic Modeling (2 papers), Psychotherapy Techniques and Applications (1 paper), Semantic Web and Ontologies (1 paper) and Counseling, Therapy, and Family Dynamics (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (216 citations), Artificial Intelligence (243 citations), Applied Psychology (26 citations), Social Psychology (89 citations) and Communication (23 citations). Dan Assaf has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Yair Neuman, Yohai Cohen, Peter D. Turney, Newton Howard, Mark Last, Shlomo Argamon, James L. Knoll, Moshe Koppel and Marcel Danesi. Their work appears in journals such as Artificial Intelligence in Medicine, Information Fusion, Frontiers in Psychiatry, Sign Systems Studies and Frontiers in Psychology.
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.