Aviv Segev
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Psychiatry and Mental health top 5%
- Cognitive Neuroscience top 10%
- Topics
- Service-Oriented Architecture and Web Services (15 papers)Schizophrenia research and treatment (15 papers)Semantic Web and Ontologies (14 papers)
- Partner nations
- IsraelSouth KoreaUnited States
In The Last Decade
Aviv Segev
90 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 137
- Information Systems 407
- Artificial Intelligence 327
- Computer Networks and Communications 238
- Psychiatry and Mental health 210
- Cognitive Neuroscience 109
Countries citing papers authored by Aviv Segev
This map shows the geographic impact of Aviv Segev'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 Aviv Segev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aviv Segev more than expected).
Fields of papers citing papers by Aviv Segev
This network shows the impact of papers produced by Aviv Segev. 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 Aviv Segev. The network helps show where Aviv Segev may publish in the future.
Co-authorship network of co-authors of Aviv Segev
This figure shows the co-authorship network connecting the top 25 collaborators of Aviv Segev. A scholar is included among the top collaborators of Aviv Segev 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 Aviv Segev. Aviv Segev 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 | 14 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 7 | |
| 14 | Context ontology for humanitarian assistance in crisis response. | 9 |
| 15 | 3 | |
| 16 | 13 | |
| 17 | Puzzling It Out: Supporting Ontology Evolution with Applications to eGovernment | 1 |
| 18 | Semantic Methods for Service Categorization - An Empirical Study | 3 |
| 19 | Identifying the Multiple Contexts of a Situation | 0 |
| 20 | TOODM - A Temporal Object-Oriented Data Model with Temporal Constraints | 44 |
About Aviv Segev
Aviv Segev is a scholar working on Psychiatry and Mental health, Artificial Intelligence and Biological Psychiatry, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (15 papers), Schizophrenia research and treatment (15 papers) and Semantic Web and Ontologies (14 papers). The work is most often cited by research in Information Systems (407 citations), Psychiatry and Mental health (210 citations) and Computer Networks and Communications (238 citations). Aviv Segev has collaborated with scholars based in Israel, South Korea and United States. Frequent co-authors include Quan Z. Sheng, Jian Yu, Lina Yao, Eran Toch, Anne H. H. Ngu, Jae Hwa Lee, Yuval Bloch, E. Rose, Rituparna Datta and Jussi Kantola. Their work appears in journals such as PLoS ONE, Scientific Reports and The British Journal of Psychiatry.
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.