Aviv Segev

1.8k total citations
96 papers, 1.1k citations indexed

About

Aviv Segev is a scholar working on Artificial Intelligence, Psychiatry and Mental health and Information Systems. According to data from OpenAlex, Aviv Segev has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 25 papers in Psychiatry and Mental health and 21 papers in Information Systems. Recurrent topics in Aviv Segev's work include Service-Oriented Architecture and Web Services (15 papers), Schizophrenia research and treatment (15 papers) and Semantic Web and Ontologies (14 papers). Aviv Segev is often cited by papers focused on Service-Oriented Architecture and Web Services (15 papers), Schizophrenia research and treatment (15 papers) and Semantic Web and Ontologies (14 papers). Aviv Segev collaborates with scholars based in Israel, South Korea and United States. Aviv Segev's 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 and has published in prestigious journals such as PLoS ONE, Scientific Reports and The British Journal of Psychiatry.

In The Last Decade

Aviv Segev

90 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aviv Segev Israel 17 407 327 238 210 109 96 1.1k
Mark Rosenstein United States 10 583 1.4× 303 0.9× 144 0.6× 90 0.4× 108 1.0× 25 1.0k
Jeff Dalton United Kingdom 21 450 1.1× 765 2.3× 157 0.7× 197 0.9× 404 3.7× 88 1.7k
Naphtali Rishe United States 19 166 0.4× 392 1.2× 264 1.1× 89 0.4× 175 1.6× 144 1.5k
Luis Anido Spain 23 379 0.9× 306 0.9× 196 0.8× 130 0.6× 84 0.8× 156 1.5k
Lars Niklasson Sweden 14 95 0.2× 443 1.4× 57 0.2× 291 1.4× 177 1.6× 95 1.1k
Habib M. Fardoun Saudi Arabia 17 210 0.5× 139 0.4× 288 1.2× 71 0.3× 52 0.5× 100 1.1k
Nicole Novielli Italy 22 732 1.8× 465 1.4× 74 0.3× 32 0.2× 43 0.4× 83 1.4k
Jelena Jovanović Serbia 34 662 1.6× 1.0k 3.2× 122 0.5× 29 0.1× 157 1.4× 146 3.8k
Danial Hooshyar South Korea 22 296 0.7× 438 1.3× 55 0.2× 34 0.2× 97 0.9× 64 1.4k
Aaron Striegel United States 23 235 0.6× 326 1.0× 719 3.0× 19 0.1× 73 0.7× 125 1.9k

Countries citing papers authored by Aviv Segev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Segev, Aviv, Risha Govind, Ebenezer Oloyede, et al.. (2024). Developing a validated methodology for identifying clozapine treatment periods in electronic health records. BMC Psychiatry. 24(1). 584–584.
2.
Neria, Yuval, et al.. (2024). A prediction model of PTSD in the Israeli population in the aftermath of october 7th, 2023, terrorist attack and the Israel–Hamas war. Israel Journal of Health Policy Research. 13(1). 63–63. 14 indexed citations
3.
Freitas, Daniela Fonseca de, Deborah Agbedjro, Giouliana Kadra-Scalzo, et al.. (2022). Clinical correlates of early onset antipsychotic treatment resistance. Journal of Psychopharmacology. 36(11). 1226–1233. 4 indexed citations
4.
Kadra-Scalzo, Giouliana, Daniela Fonseca de Freitas, Deborah Agbedjro, et al.. (2022). A predictor model of treatment resistance in schizophrenia using data from electronic health records. PLoS ONE. 17(9). e0274864–e0274864. 7 indexed citations
5.
Freitas, Daniela Fonseca de, Giouliana Kadra-Scalzo, Megan Pritchard, et al.. (2022). Ethnic inequalities in clozapine use among people with treatment-resistant schizophrenia: a retrospective cohort study using data from electronic clinical records. Social Psychiatry and Psychiatric Epidemiology. 57(7). 1341–1355. 11 indexed citations
6.
Egerton, Alice, J.F.W. Deakin, Richard Drake, et al.. (2022). Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration. Neuropsychopharmacology. 48(3). 567–575. 14 indexed citations
7.
Freitas, Daniela Fonseca de, Giouliana Kadra-Scalzo, Deborah Agbedjro, et al.. (2022). Using a statistical learning approach to identify sociodemographic and clinical predictors of response to clozapine. Journal of Psychopharmacology. 36(4). 498–506. 5 indexed citations
8.
Segev, Aviv, Ehtesham Iqbal, Theresa A. McDonagh, et al.. (2021). Clozapine-induced myocarditis: electronic health register analysis of incidence, timing, clinical markers and diagnostic accuracy. The British Journal of Psychiatry. 219(6). 644–651. 19 indexed citations
9.
Hertzberg, Libi, Guy Shapira, Aviv Segev, et al.. (2021). Blood transcriptional response to treatment-resistant depression during electroconvulsive therapy. Journal of Psychiatric Research. 141. 92–103. 12 indexed citations
10.
Segev, Aviv, et al.. (2020). Animal Behavior Prediction with Long Short-Term Memory. 4157–4164. 2 indexed citations
11.
Bitan, Dana Tzur, et al.. (2018). Attitudes of mental health clinicians toward perceived inaccuracy of a schizophrenia diagnosis in routine clinical practice. BMC Psychiatry. 18(1). 317–317. 13 indexed citations
12.
Segev, Aviv, et al.. (2016). Possible Biases of Researchers’ Attitudes Toward Video Games: Publication Trends Analysis of the Medical Literature (1980–2013). Journal of Medical Internet Research. 18(7). e196–e196. 7 indexed citations
13.
Ko, Minsam, Seungwoo Choi, Joonwon Lee, Uichin Lee, & Aviv Segev. (2016). Understanding Mass Interactions in Online Sports Viewing. ACM Transactions on Computer-Human Interaction. 23(1). 1–27. 11 indexed citations
14.
Segev, Aviv, et al.. (2013). Context ontology for humanitarian assistance in crisis response.. ISCRAM. 9 indexed citations
15.
Segev, Aviv, et al.. (2013). Analyzing future communities in growing citation networks. 15–22. 5 indexed citations
16.
Segev, Aviv & Shaul Lev‐Ran. (2012). Neurocognitive Functioning and Cannabis Use in Schizophrenia. Current Pharmaceutical Design. 18(32). 4999–5007. 8 indexed citations
17.
Gal, Avigdor, Aviv Segev, & Eran Toch. (2007). Semantic Methods for Service Categorization - An Empirical Study. Very Large Data Bases. 3 indexed citations
18.
Segev, Aviv & Avigdor Gal. (2007). Puzzling It Out: Supporting Ontology Evolution with Applications to eGovernment. International Joint Conference on Artificial Intelligence. 1 indexed citations
19.
Segev, Aviv. (2005). Identifying the Multiple Contexts of a Situation.
20.
Rose, E. & Aviv Segev. (1991). TOODM - A Temporal Object-Oriented Data Model with Temporal Constraints. University of North Texas Digital Library (University of North Texas). 44 indexed citations

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.

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