John Isidoro

24 total papers · 819 total citations
17 papers, 517 citations indexed

About

John Isidoro is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering. According to data from OpenAlex, John Isidoro has authored 17 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Graphics and Computer-Aided Design and 5 papers in Aerospace Engineering. Recurrent topics in John Isidoro's work include Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (10 papers) and Robotics and Sensor-Based Localization (5 papers). John Isidoro is often cited by papers focused on Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (10 papers) and Robotics and Sensor-Based Localization (5 papers). John Isidoro collaborates with scholars based in United States, Canada and Hong Kong. John Isidoro's co-authors include Stan Sclaroff, Peyman Milanfar, Yaniv Romano, Pedro V. Sander, Diego Nehab, Jason Lawrence, Natalya Tatarchuk, Marco La Cascia, Jason L. Mitchell and Frank Ong and has published in prestigious journals such as Computer Vision and Image Understanding, IEEE Transactions on Computational Imaging and OpenBU/Boston University Institutional Repository (Boston University).

In The Last Decade

John Isidoro

17 papers receiving 480 citations

Author Peers

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

Author Last Decade Papers Cites
John Isidoro 469 135 103 87 47 17 517
Manfred Ernst 379 0.8× 316 2.3× 80 0.8× 177 2.0× 34 0.7× 14 577
Pravin Bhat 562 1.2× 148 1.1× 84 0.8× 90 1.0× 27 0.6× 8 614
Tinghuai Wang 392 0.8× 124 0.9× 62 0.6× 46 0.5× 38 0.8× 30 569
Jordi Salvador 399 0.9× 103 0.8× 153 1.5× 107 1.2× 36 0.8× 29 502
Xiaoyu Li 413 0.9× 180 1.3× 48 0.5× 162 1.9× 23 0.5× 26 508
Pablo Arias 422 0.9× 55 0.4× 156 1.5× 73 0.8× 16 0.3× 34 502
Erum Arif Khan 432 0.9× 120 0.9× 104 1.0× 38 0.4× 24 0.5× 8 517
Alan Chalmers 429 0.9× 92 0.7× 83 0.8× 23 0.3× 17 0.4× 26 508
Yuki Endo 395 0.8× 88 0.7× 55 0.5× 37 0.4× 22 0.5× 30 463
Claude Knaus 558 1.2× 226 1.7× 196 1.9× 71 0.8× 11 0.2× 12 617

Countries citing papers authored by John Isidoro

Since Specialization
Citations

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

Fields of papers citing papers by John Isidoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Isidoro

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