Anabia Sohail

41 total papers · 1.3k total citations
22 papers, 706 citations indexed

About

Anabia Sohail is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anabia Sohail has authored 22 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anabia Sohail's work include AI in cancer detection (12 papers), COVID-19 diagnosis using AI (10 papers) and Digital Imaging for Blood Diseases (8 papers). Anabia Sohail is often cited by papers focused on AI in cancer detection (12 papers), COVID-19 diagnosis using AI (10 papers) and Digital Imaging for Blood Diseases (8 papers). Anabia Sohail collaborates with scholars based in Pakistan, South Korea and United Arab Emirates. Anabia Sohail's co-authors include Asifullah Khan, Saddam Hussain Khan, Zunaira Rauf, Kunio Watanabe, Aneela Zameer, E.U. Khan, Abdul Rehman Khan, Noorul Wahab, Yousry Mahmoud Ghazaw and Abdul Razzaq Ghumman and has published in prestigious journals such as Scientific Reports, IEEE Access and Medical Image Analysis.

In The Last Decade

Anabia Sohail

20 papers receiving 688 citations

Hit Papers

A survey of the vision tr... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Anabia Sohail 309 280 198 91 72 22 706
Shengzhou Xu 175 0.6× 167 0.6× 286 1.4× 29 0.3× 42 0.6× 22 691
Ibrahem Kandel 203 0.7× 214 0.8× 198 1.0× 34 0.4× 20 0.3× 9 703
Aamir Shahzad 121 0.4× 148 0.5× 167 0.8× 25 0.3× 11 0.2× 46 677
Mahmudul Hasan 192 0.6× 340 1.2× 302 1.5× 53 0.6× 18 0.3× 29 851
Snehasis Mukherjee 276 0.9× 91 0.3× 441 2.2× 24 0.3× 21 0.3× 43 886
Margarita Gamarra 241 0.8× 121 0.4× 193 1.0× 18 0.2× 35 0.5× 36 623
Xiaoming Qi 156 0.5× 142 0.5× 262 1.3× 30 0.3× 15 0.2× 32 714
Md. Saikat Islam Khan 221 0.7× 78 0.3× 109 0.6× 96 1.1× 8 0.1× 19 651
Serhat Kılıçarslan 349 1.1× 120 0.4× 135 0.7× 23 0.3× 15 0.2× 40 748
Adekanmi Adeyinka Adegun 440 1.4× 81 0.3× 132 0.7× 30 0.3× 28 0.4× 29 838

Countries citing papers authored by Anabia Sohail

Since Specialization
Citations

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

Fields of papers citing papers by Anabia Sohail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anabia Sohail

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