Mayur Mudigonda

843 total citations
11 papers, 189 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 189 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 COVID-19 and Mental Health (2 papers), Particle physics theoretical and experimental studies (2 papers) and Particle Detector Development and Performance (2 papers). Mayur Mudigonda is often cited by papers focused on COVID-19 and Mental Health (2 papers), Particle physics theoretical and experimental studies (2 papers) and Particle Detector Development and Performance (2 papers). Mayur Mudigonda collaborates with scholars based in United States, Switzerland and United Kingdom. Mayur Mudigonda's co-authors include Chelsea Finn, Stephen Tian, Dinesh Jayaraman, Frederik Ebert, Roberto Calandra, Sergey Levine, Balachundhar Subramaniam, Raj K. Maturi, Ramana V. Vishnubhotla and Senthilkumar Sadhasivam 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 184 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mayur Mudigonda United States	6	57	53	46	39	26	11	189
A. Gabrielli Italy	9	39 0.7×	17 0.3×	47 1.0×	54 1.4×	8 0.3×	70	293
Steven Sandoval United States	9	34 0.6×	30 0.6×	15 0.3×	92 2.4×	40 1.5×	39	261
Alireza Zaeemzadeh United States	8	81 1.4×	9 0.2×	13 0.3×	55 1.4×	40 1.5×	17	244
Artem Badarin Russia	11	177 3.1×	31 0.6×	39 0.8×	37 0.9×	3 0.1×	71	325
Vipul Arora India	14	149 2.6×	7 0.1×	21 0.5×	84 2.2×	59 2.3×	44	363
Neslihan Serap Şengör Türkiye	11	94 1.6×	279 5.3×	8 0.2×	35 0.9×	19 0.7×	39	521
Jian Jiang China	8	7 0.1×	28 0.5×	10 0.2×	29 0.7×	71 2.7×	28	247
Tyler Lee United States	7	121 2.1×	6 0.1×	14 0.3×	56 1.4×	36 1.4×	14	273
Guiling Zhang China	7	32 0.6×	11 0.2×	5 0.1×	25 0.6×	30 1.2×	23	287
Jerry Chen Taiwan	6	25 0.4×	5 0.1×	39 0.8×	97 2.5×	14 0.5×	11	292

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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11 of 11 papers shown

Vishnubhotla, Ramana V., Paul L. Wood, Ashutosh Verma, et al.. (2022). Advanced Meditation and Vegan Diet Increased Acylglycines and Reduced Lipids Associated with Improved Health: A Prospective Longitudinal Study. Journal of Integrative and Complementary Medicine. 28(8). 674–682. 4 indexed citations

Sadhasivam, Senthilkumar, Raj K. Maturi, Ramana V. Vishnubhotla, et al.. (2021). Isha Yoga Practices and Participation in Samyama Program are Associated with Reduced HbA1C and Systemic Inflammation, Improved Lipid Profile, and Short-Term and Sustained Improvement in Mental Health: A Prospective Observational Study of Meditators. Frontiers in Psychology. 12. 659667–659667. 14 indexed citations

Sadhasivam, Senthilkumar, Raj K. Maturi, Ramana V. Vishnubhotla, et al.. (2020). Inner Engineering Practices and Advanced 4‐day Isha Yoga Retreat Are Associated with Cannabimimetic Effects with Increased Endocannabinoids and Short‐Term and Sustained Improvement in Mental Health: A Prospective Observational Study of Meditators. Evidence-based Complementary and Alternative Medicine. 2020(1). 8438272–8438272. 26 indexed citations

Kashinath, Karthik, et al.. (2019). ClimateNet: Bringing the power of Deep Learning to weather and climate sciences via open datasets and architectures. AGU Fall Meeting Abstracts. 2019.

Tian, Stephen, Frederik Ebert, Dinesh Jayaraman, et al.. (2019). Manipulation by Feel: Touch-Based Control with Deep Predictive Models. 818–824. 74 indexed citations

Kurth, Thorsten, Sean Treichler, Joshua Romero, et al.. (2018). Exascale deep learning for climate analytics. arXiv (Cornell University). 51. 29 indexed citations

Tsaris, Aristeidis, Dustin Anderson, J. Bendavid, et al.. (2018). The HEP.TrkX Project: Deep Learning for Particle Tracking. Journal of Physics Conference Series. 1085. 42023–42023. 12 indexed citations

Mudigonda, Mayur, Pulkit Agrawal, Michael R. DeWeese, & Jitendra Malik. (2018). Investigating Deep Reinforcement Learning For Grasping Objects With An Anthropomorphic Hand. 3 indexed citations

Mudigonda, Mayur, Karthik Kashinath, Christopher Beckham, et al.. (2017). Deep Learning for Extreme Weather Detection. AGU Fall Meeting Abstracts. 2017. 3 indexed citations

10.

Farrell, Steven, Dustin Anderson, P. Calafiura, et al.. (2017). The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking. SHILAP Revista de lepidopterología. 150. 3–3. 22 indexed citations

11.

Mudigonda, Mayur, A.K. Ramani, & Vivek Subramanian. (2006). Applications of RFiD in Public Transport Sygtem to Aid the Visually Challenged. 543–544. 2 indexed citations

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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