Kave Eshghi

16 papers and 522 indexed citations i.

About

Kave Eshghi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kave Eshghi has authored 16 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kave Eshghi’s work include Logic, Reasoning, and Knowledge (5 papers), Advanced Data Storage Technologies (4 papers) and Semantic Web and Ontologies (4 papers). Kave Eshghi is often cited by papers focused on Logic, Reasoning, and Knowledge (5 papers), Advanced Data Storage Technologies (4 papers) and Semantic Web and Ontologies (4 papers). Kave Eshghi collaborates with scholars based in United States, United Kingdom and Austria. Kave Eshghi's co-authors include Mark Lillibridge, Deepavali Bhagwat, Robert Kowalski, Darrell D. E. Long, Mehran Kafai, Bir Bhanu, Chris Preist, George Forman, Thomas Gschwind and Pankaj Garg and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Future Generation Computer Systems and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Kave Eshghi i

Fields of papers citing papers by Kave Eshghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kave Eshghi

Since Specialization
Citations

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