Taraneh Eghlidos

51 total papers · 444 total citations
34 papers, 281 citations indexed

About

Taraneh Eghlidos is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Taraneh Eghlidos has authored 34 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Taraneh Eghlidos's work include Coding theory and cryptography (16 papers), Cryptography and Data Security (14 papers) and Chaos-based Image/Signal Encryption (12 papers). Taraneh Eghlidos is often cited by papers focused on Coding theory and cryptography (16 papers), Cryptography and Data Security (14 papers) and Chaos-based Image/Signal Encryption (12 papers). Taraneh Eghlidos collaborates with scholars based in Iran, Canada and Switzerland. Taraneh Eghlidos's co-authors include Mohammad Reza Aref, Mohammad‐Reza Sadeghi, Saeed R. Khosravirad, Shahrokh Ghaemmaghami, Arash Mirabdolah Lavasani, Rahmat‐Allah Hooshmand, Daniel Panario, Javad Mohajeri, Aydin Behnad and Maki Shigeri and has published in prestigious journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Taraneh Eghlidos

33 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
Taraneh Eghlidos	213	95	93	46	41	34	281
C. Ravishankar	124 0.6×	74 0.8×	90 1.0×	76 1.7×	28 0.7×	33	322
Baodian Wei	220 1.0×	80 0.8×	82 0.9×	52 1.1×	90 2.2×	49	286
Amparo Fúster-Sabater	172 0.8×	97 1.0×	80 0.9×	68 1.5×	26 0.6×	47	274
George Purdy	85 0.4×	76 0.8×	50 0.5×	42 0.9×	60 1.5×	39	284
Maura B. Paterson	130 0.6×	42 0.4×	138 1.5×	73 1.6×	47 1.1×	29	273
Song Y. Yan	181 0.8×	61 0.6×	38 0.4×	30 0.7×	85 2.1×	34	255
Swanand Kadhe	139 0.7×	28 0.3×	152 1.6×	86 1.9×	34 0.8×	32	255
C. E. Veni Madhavan	120 0.6×	67 0.7×	70 0.8×	29 0.6×	26 0.6×	39	242
Robert Silverman	230 1.1×	39 0.4×	67 0.7×	98 2.1×	129 3.1×	28	329
Allen Roginsky	107 0.5×	50 0.5×	135 1.5×	22 0.5×	72 1.8×	30	250

Countries citing papers authored by Taraneh Eghlidos

Since Specialization

Citations

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

Fields of papers citing papers by Taraneh Eghlidos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taraneh Eghlidos

This figure shows the co-authorship network connecting the top 25 collaborators of Taraneh Eghlidos. A scholar is included among the top collaborators of Taraneh Eghlidos 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 Taraneh Eghlidos. Taraneh Eghlidos 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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