Amin Beheshti

291 total papers · 4.6k total citations
137 papers, 1.9k citations indexed

About

Amin Beheshti is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Amin Beheshti has authored 137 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 34 papers in Information Systems and 23 papers in Computer Networks and Communications. Recurrent topics in Amin Beheshti's work include Advanced Graph Neural Networks (16 papers), Data Quality and Management (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Amin Beheshti is often cited by papers focused on Advanced Graph Neural Networks (16 papers), Data Quality and Management (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Amin Beheshti collaborates with scholars based in Australia, China and United States. Amin Beheshti's co-authors include Boualem Benatallah, Reza Nouri, Nour Moustafa, Hamid Reza Motahari‐Nezhad, Asim Dilawar Bakhshi, Javed Ashraf, Hasnat Khurshid, Hamid Alinejad‐Rokny, Jia Wu and Jian Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Amin Beheshti

116 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Amin Beheshti	861	451	444	251	159	137	1.9k
Raymond K. Wong	928 1.1×	513 1.1×	513 1.2×	192 0.8×	140 0.9×	215	1.8k
Yucong Duan	690 0.8×	738 1.6×	579 1.3×	201 0.8×	162 1.0×	139	1.9k
Lei Li	1.0k 1.2×	784 1.7×	584 1.3×	292 1.2×	142 0.9×	237	2.2k
Abdelaziz Bouras	718 0.8×	443 1.0×	269 0.6×	393 1.6×	123 0.8×	111	2.1k
Zheng Li	771 0.9×	880 2.0×	762 1.7×	248 1.0×	144 0.9×	207	2.4k
Klemens Böhm	896 1.0×	399 0.9×	628 1.4×	143 0.6×	249 1.6×	200	1.7k
A.C.M. Fong	888 1.0×	639 1.4×	335 0.8×	213 0.8×	282 1.8×	164	2.0k
Chunxiao Xing	690 0.8×	579 1.3×	267 0.6×	211 0.8×	101 0.6×	146	1.6k
Gillian Dobbie	977 1.1×	557 1.2×	433 1.0×	140 0.6×	77 0.5×	122	1.6k
Yong Ge	639 0.7×	540 1.2×	224 0.5×	299 1.2×	175 1.1×	63	1.6k

Countries citing papers authored by Amin Beheshti

Since Specialization

Citations

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

Fields of papers citing papers by Amin Beheshti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Beheshti

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Beheshti. A scholar is included among the top collaborators of Amin Beheshti 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 Amin Beheshti. Amin Beheshti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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