Sajid Shah

72 total papers · 1.4k total citations
47 papers, 892 citations indexed

About

Sajid Shah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sajid Shah has authored 47 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Sajid Shah's work include Genomics and Phylogenetic Studies (4 papers), Meteorological Phenomena and Simulations (3 papers) and AI in cancer detection (3 papers). Sajid Shah is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Meteorological Phenomena and Simulations (3 papers) and AI in cancer detection (3 papers). Sajid Shah collaborates with scholars based in Pakistan, Saudi Arabia and China. Sajid Shah's co-authors include Fiaz Gul Khan, Ahmad Khan, Zia ur Rehman, Iftikhar Ahmed Khan, Waqas Jadoon, Shahaboddin Shamshirband, Farman Ali, Sangheon Pack, Zubair Khan and Saima Jabeen and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sajid Shah

41 papers receiving 826 citations

Hit Papers

A Deep Learning Ensemble ... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sajid Shah 491 261 248 230 160 47 892
Anas Bilal 480 1.0× 307 1.2× 175 0.7× 227 1.0× 295 1.8× 65 1.0k
Md. Nahiduzzaman 453 0.9× 270 1.0× 95 0.4× 181 0.8× 317 2.0× 45 1.0k
Wei Zhou 479 1.0× 478 1.8× 344 1.4× 42 0.2× 182 1.1× 73 971
Yang Wen 256 0.5× 472 1.8× 148 0.6× 64 0.3× 120 0.8× 61 1.0k
R. Murugan 478 1.0× 283 1.1× 110 0.4× 106 0.5× 353 2.2× 80 972
Juan Wang 409 0.8× 170 0.7× 57 0.2× 79 0.3× 378 2.4× 57 939
J. Dinesh Peter 312 0.6× 269 1.0× 86 0.3× 40 0.2× 310 1.9× 66 807
Kemal Adem 165 0.3× 158 0.6× 63 0.3× 76 0.3× 247 1.5× 47 864
Khan Bahadar Khan 336 0.7× 283 1.1× 161 0.6× 24 0.1× 111 0.7× 32 745
Parthasarathi Mangipudi 563 1.1× 448 1.7× 458 1.8× 30 0.1× 84 0.5× 36 868

Countries citing papers authored by Sajid Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajid Shah

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