Ravi Kapadia

21 total papers · 435 total citations
10 papers, 307 citations indexed

About

Ravi Kapadia is a scholar working on Artificial Intelligence, Control and Systems Engineering and Medical Laboratory Technology. According to data from OpenAlex, Ravi Kapadia has authored 10 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Medical Laboratory Technology. Recurrent topics in Ravi Kapadia's work include Engineering and Information Technology (2 papers), Advanced Computational Techniques and Applications (2 papers) and Quality and Safety in Healthcare (2 papers). Ravi Kapadia is often cited by papers focused on Engineering and Information Technology (2 papers), Advanced Computational Techniques and Applications (2 papers) and Quality and Safety in Healthcare (2 papers). Ravi Kapadia collaborates with scholars based in United States, Japan and Canada. Ravi Kapadia's co-authors include Arumugam Jayakumar, Iacovos P. Michael, Georgia Sotiropoulou, Nahoko Komatsu, Carla A. Borgoño, Gary L. Clayman, Eleftherios P. Diamandis, J.N. Blau, Ruby Skinner and Gautam Biswas and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and The American Surgeon.

In The Last Decade

Ravi Kapadia

9 papers receiving 286 citations

Author Peers

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

Author						Papers	Cites
Ravi Kapadia	87	80	69	63	42	10	307
Aishath Naeem	43 0.5×	58 0.7×	53 0.8×	97 1.5×	18 0.4×	10	231
Tang Yongqing	22 0.3×	46 0.6×	15 0.2×	77 1.2×	17 0.4×	9	353
Jordan E. Scott	35 0.4×	105 1.3×	8 0.1×	40 0.6×	115 2.7×	13	318
Celina Nadelman	30 0.3×	91 1.1×	39 0.6×	43 0.7×	10 0.2×	9	256
Connie Qiu	12 0.1×	68 0.8×	37 0.5×	117 1.9×	43 1.0×	14	365
Theonne A. de Kretser	8 0.1×	36 0.5×	40 0.6×	135 2.1×	45 1.1×	13	354
Xiaoning Zhou	16 0.2×	14 0.2×	15 0.2×	48 0.8×	92 2.2×	10	355
Hélène Hernandez-Pigeon	7 0.1×	99 1.2×	28 0.4×	109 1.7×	39 0.9×	10	264
Michael T. Peel	18 0.2×	18 0.2×	19 0.3×	118 1.9×	11 0.3×	11	266
F. Mantoux	11 0.1×	50 0.6×	188 2.7×	133 2.1×	7 0.2×	12	353

Countries citing papers authored by Ravi Kapadia

Since Specialization

Citations

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

Fields of papers citing papers by Ravi Kapadia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Kapadia

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