Uri Hanani
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
Papers in
-
- Web Data Mining and Analysis 4
- Recommender Systems and Techniques 2
- Information Retrieval and Search Behavior 2
- Spam and Phishing Detection 1
- Expert finding and Q&A systems 1
-
- Semantic Web and Ontologies 3
- Advanced Text Analysis Techniques 2
- Co-authors
- Peretz Shoval (5 shared papers)Bracha Shapira (5 shared papers)Adi Raveh (2 shared papers)
- Journals
- Decision Support Systems (1 paper)Journal of the Association for Information Systems (1 paper)Information Processing & Management (1 paper)Journal of Intelligent Information Systems (1 paper)User Modeling and User-Adapted Interaction (1 paper)
- Partner nations
- Israel
In The Last Decade
Uri Hanani
8 papers receiving 284 citations
Peers
Comparison fields: 5 of 48
- Information Systems 205
- Artificial Intelligence 147
- Information Systems and Management 31
- Signal Processing 36
- Computer Science Applications 17
Countries citing papers authored by Uri Hanani
This map shows the geographic impact of Uri Hanani'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 Uri Hanani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uri Hanani more than expected).
Fields of papers citing papers by Uri Hanani
This network shows the impact of papers produced by Uri Hanani. 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 Uri Hanani. The network helps show where Uri Hanani may publish in the future.
Co-authors
The 3 scholars most cited alongside Uri Hanani, 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 | 2001 | 220 | |
| 2 | 1997 | 35 | |
| 3 | 1999 | 24 | |
| 4 | 1997 | 18 | |
| 5 | 2002 | 4 | |
| 6 | Intelligent Information Harvesting Architecture: An Application to a High School Environment. | 1996 | 4 |
| 7 | Katsir: A Framework for Harvesting Digital Libraries on the Web | 2000 | 2 |
| 8 | 1996 | 1 |
About Uri Hanani
Uri Hanani is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 308 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (4 papers), Semantic Web and Ontologies (3 papers), Advanced Text Analysis Techniques (2 papers), Recommender Systems and Techniques (2 papers), Advanced Database Systems and Queries (2 papers), Information Retrieval and Search Behavior (2 papers), Spam and Phishing Detection (1 paper) and Expert finding and Q&A systems (1 paper). The work is most often cited by research in Information Systems (205 citations), Artificial Intelligence (147 citations), Information Systems and Management (31 citations), Signal Processing (36 citations) and Computer Science Applications (17 citations). Uri Hanani has collaborated with scholars based in Israel. Frequent co-authors include Peretz Shoval, Bracha Shapira and Adi Raveh. Their work appears in journals such as Decision Support Systems, Journal of the Association for Information Systems, Information Processing & Management, Journal of Intelligent Information Systems and User Modeling and User-Adapted Interaction.
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.