Fahad E. Alotaibi

34 total papers · 665 total citations
21 papers, 444 citations indexed

About

Fahad E. Alotaibi is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fahad E. Alotaibi has authored 21 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 13 papers in Biomedical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fahad E. Alotaibi's work include Surgical Simulation and Training (13 papers), Anatomy and Medical Technology (12 papers) and Augmented Reality Applications (7 papers). Fahad E. Alotaibi is often cited by papers focused on Surgical Simulation and Training (13 papers), Anatomy and Medical Technology (12 papers) and Augmented Reality Applications (7 papers). Fahad E. Alotaibi collaborates with scholars based in Saudi Arabia, Canada and Iran. Fahad E. Alotaibi's co-authors include Alexander Winkler-Schwartz, Rolando F. Del Maestro, Hamed Azarnoush, Gmaan Alzhrani, Abdulrahman J. Sabbagh, Khalid Bajunaid, Jawad Fares, Robert DiRaddo, Nusrat Choudhury and Valérie Pazos and has published in prestigious journals such as Journal of neurosurgery, American Journal of Roentgenology and World Neurosurgery.

In The Last Decade

Fahad E. Alotaibi

20 papers receiving 438 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 E. Alotaibi 362 283 104 66 41 21 444
Daniel M. Birk 309 0.9× 172 0.6× 64 0.6× 63 1.0× 30 0.7× 12 432
Valérie Pazos 244 0.7× 357 1.3× 85 0.8× 30 0.5× 15 0.4× 14 469
Sohum Desai 291 0.8× 128 0.5× 42 0.4× 36 0.5× 88 2.1× 31 368
Jordan Hochman 249 0.7× 188 0.7× 93 0.9× 38 0.6× 9 0.2× 33 438
Jesús Usón‐Gargallo 250 0.7× 117 0.4× 38 0.4× 32 0.5× 11 0.3× 37 445
Ravindran Karuppiah 307 0.8× 288 1.0× 63 0.6× 16 0.2× 10 0.2× 11 403
Toki Saito 130 0.4× 111 0.4× 78 0.8× 20 0.3× 19 0.5× 38 383
Antonios Mazarakis 151 0.4× 67 0.2× 50 0.5× 35 0.5× 65 1.6× 15 384
Waleed Althobaity 223 0.6× 230 0.8× 81 0.8× 10 0.2× 7 0.2× 11 387
Ming-Dar Tsai 241 0.7× 120 0.4× 50 0.5× 17 0.3× 97 2.4× 30 482

Countries citing papers authored by Fahad E. Alotaibi

Since Specialization
Citations

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

Fields of papers citing papers by Fahad E. Alotaibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahad E. Alotaibi

This figure shows the co-authorship network connecting the top 25 collaborators of Fahad E. Alotaibi. A scholar is included among the top collaborators of Fahad E. Alotaibi 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 E. Alotaibi. Fahad E. Alotaibi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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