Gad Ariav

20 papers and 306 indexed citations i.

About

Gad Ariav is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gad Ariav has authored 20 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Gad Ariav’s work include Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (5 papers) and Business Process Modeling and Analysis (4 papers). Gad Ariav is often cited by papers focused on Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (5 papers) and Business Process Modeling and Analysis (4 papers). Gad Ariav collaborates with scholars based in United States, Israel and Russia. Gad Ariav's co-authors include Michael J. Ginzberg, Shimon Schocken, James Clifford, S. E. Goodman, Matthias Jarke, Ilsoo Ahn, Fábio Grandi, Nick Kline, Krishna Kulkarni and Nikos A. Lorentzos and has published in prestigious journals such as Communications of the ACM, Journal of Management Information Systems and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Gad Ariav i

Fields of papers citing papers by Gad Ariav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gad Ariav. 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 Gad Ariav. The network helps show where Gad Ariav may publish in the future.

Countries citing papers authored by Gad Ariav

Since Specialization
Citations

This map shows the geographic impact of Gad Ariav'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 Gad Ariav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gad Ariav more than expected).

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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2025