Shima Kashef

13 total papers · 796 total citations
11 papers, 595 citations indexed

About

Shima Kashef is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Shima Kashef has authored 11 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Shima Kashef's work include Text and Document Classification Technologies (4 papers), Machine Learning in Bioinformatics (3 papers) and Face and Expression Recognition (3 papers). Shima Kashef is often cited by papers focused on Text and Document Classification Technologies (4 papers), Machine Learning in Bioinformatics (3 papers) and Face and Expression Recognition (3 papers). Shima Kashef collaborates with scholars based in Iran and Switzerland. Shima Kashef's co-authors include Hossein Nezamabadi–pour, Bahareh Nikpour, Alireza Akbarzadeh, Esmat Rashedi and Daniel Burckhardt and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Mechanism and Machine Theory.

In The Last Decade

Shima Kashef

11 papers receiving 577 citations

Author Peers

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

Author Last Decade Papers Cites
Shima Kashef 415 214 107 93 84 11 595
Eddy Mayoraz 286 0.7× 252 1.2× 40 0.4× 96 1.0× 56 0.7× 24 672
Saúl Solorio-Fernández 361 0.9× 212 1.0× 25 0.2× 67 0.7× 45 0.5× 8 653
Utkarsh Mahadeo Khaire 250 0.6× 90 0.4× 47 0.4× 39 0.4× 42 0.5× 13 504
Ritam Guha 403 1.0× 165 0.8× 35 0.3× 85 0.9× 32 0.4× 24 590
Jiao Hu 363 0.9× 96 0.4× 74 0.7× 112 1.2× 48 0.6× 14 636
Oğuz Fındık 292 0.7× 134 0.6× 68 0.6× 79 0.8× 37 0.4× 17 623
Yin-Wen Chang 250 0.6× 167 0.8× 33 0.3× 25 0.3× 33 0.4× 8 577
Hossein Tahani 458 1.1× 141 0.7× 33 0.3× 110 1.2× 80 1.0× 9 685
Yunfeng Liu 252 0.6× 115 0.5× 32 0.3× 36 0.4× 117 1.4× 24 651
Andrea Bommert 246 0.6× 94 0.4× 40 0.4× 31 0.3× 26 0.3× 9 570

Countries citing papers authored by Shima Kashef

Since Specialization
Citations

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

Fields of papers citing papers by Shima Kashef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shima Kashef

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