Tad Gonsalves

127 total papers · 768 total citations
49 papers, 480 citations indexed

About

Tad Gonsalves is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Tad Gonsalves has authored 49 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Tad Gonsalves's work include Scheduling and Optimization Algorithms (6 papers), Advanced Neural Network Applications (5 papers) and Resource-Constrained Project Scheduling (5 papers). Tad Gonsalves is often cited by papers focused on Scheduling and Optimization Algorithms (6 papers), Advanced Neural Network Applications (5 papers) and Resource-Constrained Project Scheduling (5 papers). Tad Gonsalves collaborates with scholars based in Japan, Spain and United States. Tad Gonsalves's co-authors include Antonio Fernández-Cardador, Asunción P. Cucala, Adrián Fernández-Rodríguez, M. Domínguez, Ramón Rodríguez Pecharromán, Bhuvan Unhelkar, Ji-Yao Chen, Hindriyanto Dwi Purnomo, Atsushi Ito and Vijay Katkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Tad Gonsalves

39 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Tad Gonsalves 221 146 133 105 78 49 480
Twan Dollevoet 334 1.5× 205 1.4× 126 0.9× 110 1.0× 42 0.5× 30 474
Shuo Zhao 149 0.7× 163 1.1× 89 0.7× 45 0.4× 31 0.4× 29 404
Vincent Boyer 253 1.1× 45 0.3× 103 0.8× 65 0.6× 60 0.8× 36 520
Nikola Marković 171 0.8× 236 1.6× 92 0.7× 139 1.3× 31 0.4× 44 516
Seiji Yasunobu 124 0.6× 51 0.3× 130 1.0× 58 0.6× 76 1.0× 56 441
Tao Tang 79 0.4× 91 0.6× 70 0.5× 41 0.4× 53 0.7× 58 522
Jong-Ho Shin 175 0.8× 38 0.3× 140 1.1× 128 1.2× 17 0.2× 39 542
Tao Tang 299 1.4× 149 1.0× 208 1.6× 75 0.7× 16 0.2× 40 427
Elias K. Xidias 165 0.7× 30 0.2× 67 0.5× 49 0.5× 208 2.7× 41 505
Chris Hinde 84 0.4× 52 0.4× 27 0.2× 69 0.7× 52 0.7× 65 501

Countries citing papers authored by Tad Gonsalves

Since Specialization
Citations

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

Fields of papers citing papers by Tad Gonsalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tad Gonsalves

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