Abid Sarwar

36 total papers · 536 total citations
26 papers, 327 citations indexed

About

Abid Sarwar is a scholar working on Artificial Intelligence, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abid Sarwar has authored 26 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Epidemiology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abid Sarwar's work include AI in cancer detection (15 papers), Cervical Cancer and HPV Research (10 papers) and Artificial Intelligence in Healthcare (4 papers). Abid Sarwar is often cited by papers focused on AI in cancer detection (15 papers), Cervical Cancer and HPV Research (10 papers) and Artificial Intelligence in Healthcare (4 papers). Abid Sarwar collaborates with scholars based in India. Abid Sarwar's co-authors include Vinod Sharma, Jatinder Manhas, Baljit Singh Saini, Rajeev Gupta, Jyotsna Suri, Rafeeya Shams, Omdev Dahiya, Manik Rakhra, Varun Gupta and Chirag Agarwal and has published in prestigious journals such as Neural Computing and Applications, Artificial Intelligence Review and Multimedia Tools and Applications.

In The Last Decade

Abid Sarwar

26 papers receiving 301 citations

Author Peers

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

Author Last Decade Papers Cites
Abid Sarwar 181 91 80 66 50 26 327
V. Ilango 136 0.8× 110 1.2× 39 0.5× 32 0.5× 30 0.6× 30 281
Md. Mahfujur Rahman 100 0.6× 122 1.3× 64 0.8× 51 0.8× 81 1.6× 25 347
Michele Bernardini 160 0.9× 133 1.5× 39 0.5× 99 1.5× 14 0.3× 15 352
Vishu Madaan 171 0.9× 31 0.3× 68 0.8× 99 1.5× 26 0.5× 37 333
Krishna Mridha 112 0.6× 38 0.4× 45 0.6× 38 0.6× 52 1.0× 28 272
Ahmed Abdullah Alqarni 136 0.8× 101 1.1× 64 0.8× 26 0.4× 9 0.2× 18 347
Abdulkader Helwan 130 0.7× 33 0.4× 92 1.1× 56 0.8× 14 0.3× 22 323
Nikos Fazakis 189 1.0× 88 1.0× 19 0.2× 30 0.5× 17 0.3× 25 310
Amena Mahmoud 144 0.8× 24 0.3× 72 0.9× 74 1.1× 10 0.2× 26 323
Kelwin Fernandes 168 0.9× 33 0.4× 33 0.4× 46 0.7× 52 1.0× 18 269

Countries citing papers authored by Abid Sarwar

Since Specialization
Citations

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

Fields of papers citing papers by Abid Sarwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abid Sarwar

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