Fahad Alam

81 total papers · 720 total citations
40 papers, 433 citations indexed

About

Fahad Alam is a scholar working on Surgery, Physiology and Emergency Medical Services. According to data from OpenAlex, Fahad Alam has authored 40 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Physiology and 8 papers in Emergency Medical Services. Recurrent topics in Fahad Alam's work include Surgical Simulation and Training (11 papers), Simulation-Based Education in Healthcare (11 papers) and Augmented Reality Applications (6 papers). Fahad Alam is often cited by papers focused on Surgical Simulation and Training (11 papers), Simulation-Based Education in Healthcare (11 papers) and Augmented Reality Applications (6 papers). Fahad Alam collaborates with scholars based in Canada, China and Colombia. Fahad Alam's co-authors include Clyde Matava, Bill Kapralos, Álvaro Uribe-Quevedo, Muhammad Yaseen Bhutto, Sylvain Boet, Qing Yang, Nadeem Akhtar, Derek Chen, Sinziana Avramescu and Jeffrey S. Hoch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Cochrane Database of Systematic Reviews.

In The Last Decade

Fahad Alam

40 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Fahad Alam 96 85 70 53 46 40 433
Liz McNeill 157 1.6× 116 1.4× 45 0.6× 15 0.3× 62 1.3× 38 491
Jaisa Olasky 76 0.8× 243 2.9× 50 0.7× 51 1.0× 45 1.0× 23 372
D. O’Keeffe 111 1.2× 166 2.0× 40 0.6× 26 0.5× 97 2.1× 49 440
Andrew Smith 47 0.5× 144 1.7× 42 0.6× 100 1.9× 73 1.6× 31 410
Tensing Maa 86 0.9× 64 0.8× 16 0.2× 12 0.2× 70 1.5× 39 462
Samuel Rodríguez 59 0.6× 180 2.1× 35 0.5× 35 0.7× 40 0.9× 45 482
Ivana Nakarada‐Kordic 28 0.3× 52 0.6× 58 0.8× 10 0.2× 47 1.0× 26 393
Marina Yiasemidou 69 0.7× 285 3.4× 27 0.4× 46 0.9× 97 2.1× 47 471
Elio Carchietti 37 0.4× 96 1.1× 27 0.4× 12 0.2× 24 0.5× 16 405
Tayebeh Baniasadi 51 0.5× 62 0.7× 64 0.9× 33 0.6× 54 1.2× 23 389

Countries citing papers authored by Fahad Alam

Since Specialization
Citations

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

Fields of papers citing papers by Fahad Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahad Alam

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