Mayur Mudigonda

37 total papers · 835 total citations
11 papers, 186 citations indexed

About

Mayur Mudigonda is a scholar working on Artificial Intelligence, Clinical Psychology and Control and Systems Engineering. According to data from OpenAlex, Mayur Mudigonda has authored 11 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Clinical Psychology and 2 papers in Control and Systems Engineering. Recurrent topics in Mayur Mudigonda's work include Sleep and related disorders (2 papers), Particle Detector Development and Performance (2 papers) and COVID-19 and Mental Health (2 papers). Mayur Mudigonda is often cited by papers focused on Sleep and related disorders (2 papers), Particle Detector Development and Performance (2 papers) and COVID-19 and Mental Health (2 papers). Mayur Mudigonda collaborates with scholars based in United States, Switzerland and United Kingdom. Mayur Mudigonda's co-authors include Chelsea Finn, Sergey Levine, Stephen Tian, Dinesh Jayaraman, Frederik Ebert, Roberto Calandra, Senthilkumar Sadhasivam, Balachundhar Subramaniam, Sepideh Hariri and Raj K. Maturi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Mayur Mudigonda

10 papers receiving 181 citations

Author Peers

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

Author						Papers	Cites
Mayur Mudigonda	56	51	45	38	25	11	186
Laura Smith	38 0.7×	29 0.6×	39 0.9×	37 1.0×	19 0.8×	13	192
Ni Li	107 1.9×	37 0.7×	28 0.6×	21 0.6×	9 0.4×	15	227
Mohammed Abubaker	88 1.6×	21 0.4×	19 0.4×	53 1.4×	18 0.7×	15	278
Johann Faouzi	50 0.9×	7 0.1×	8 0.2×	49 1.3×	14 0.6×	13	219
Salisu Wada Yahaya	20 0.4×	17 0.3×	17 0.4×	111 2.9×	88 3.5×	14	217
Guiling Zhang	29 0.5×	11 0.2×	5 0.1×	25 0.7×	30 1.2×	22	281
Isabelle Guyon	20 0.4×	12 0.2×	7 0.2×	73 1.9×	66 2.6×	12	260
Sujoy Chandra Das	129 2.3×	7 0.1×	25 0.6×	94 2.5×	20 0.8×	6	290
Alireza Zaeemzadeh	77 1.4×	9 0.2×	13 0.3×	55 1.4×	40 1.6×	17	238
Maher Ben Moussa	14 0.3×	64 1.3×	11 0.2×	72 1.9×	123 4.9×	13	284

Countries citing papers authored by Mayur Mudigonda

Since Specialization

Citations

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

Fields of papers citing papers by Mayur Mudigonda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayur Mudigonda

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