Maheen Farooqi

9 total papers · 1.1k total citations
5 papers, 317 citations indexed

About

Maheen Farooqi is a scholar working on Artificial Intelligence, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Maheen Farooqi has authored 5 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Surgery and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Maheen Farooqi's work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Frailty in Older Adults (1 paper). Maheen Farooqi is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Frailty in Older Adults (1 paper). Maheen Farooqi collaborates with scholars based in Canada, United States and Switzerland. Maheen Farooqi's co-authors include Abubakar Abid, James Zou, Darryl P. Leong, Sumathy Rangarajan, Shrikant I. Bangdiwala, Αλεξάνδρα Παπαϊωάννου, Faizan Amin, Priyanka Kanth, Craig Ainsworth and André Lamy and has published in prestigious journals such as BMJ Open, Nature Machine Intelligence and JCO Precision Oncology.

In The Last Decade

Maheen Farooqi

4 papers receiving 299 citations

Hit Papers

Persistent Anti-Muslim Bi... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Maheen Farooqi 210 64 52 41 39 5 317
Kellie Webster 254 1.2× 49 0.8× 25 0.5× 17 0.4× 22 0.6× 11 325
Margaret Drouhard 101 0.5× 53 0.8× 22 0.4× 37 0.9× 56 1.4× 11 294
Christopher Rytting 178 0.8× 43 0.7× 18 0.3× 58 1.4× 82 2.1× 4 352
Li Lucy 161 0.8× 29 0.5× 48 0.9× 39 1.0× 50 1.3× 13 294
Nan‐Chen Chen 138 0.7× 49 0.8× 16 0.3× 34 0.8× 34 0.9× 11 270
Shrimai Prabhumoye 269 1.3× 16 0.3× 20 0.4× 16 0.4× 26 0.7× 10 339
Maurice Jakesch 171 0.8× 107 1.7× 52 1.0× 8 0.2× 133 3.4× 9 351
Hao-Fei Cheng 179 0.9× 153 2.4× 46 0.9× 5 0.1× 65 1.7× 9 324
Razvan Amironesei 112 0.5× 146 2.3× 47 0.9× 5 0.1× 69 1.8× 12 343
Jonathan Stray 77 0.4× 48 0.8× 12 0.2× 14 0.3× 85 2.2× 10 243

Countries citing papers authored by Maheen Farooqi

Since Specialization
Citations

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

Fields of papers citing papers by Maheen Farooqi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maheen Farooqi

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