M. G. Prasad

127 total papers · 1.9k total citations
68 papers, 1.5k citations indexed

About

M. G. Prasad is a scholar working on Biomedical Engineering, Mathematical Physics and Mechanical Engineering. According to data from OpenAlex, M. G. Prasad has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 26 papers in Mathematical Physics and 13 papers in Mechanical Engineering. Recurrent topics in M. G. Prasad's work include Mathematical Dynamics and Fractals (25 papers), Acoustic Wave Phenomena Research (22 papers) and Innovative Energy Harvesting Technologies (11 papers). M. G. Prasad is often cited by papers focused on Mathematical Dynamics and Fractals (25 papers), Acoustic Wave Phenomena Research (22 papers) and Innovative Energy Harvesting Technologies (11 papers). M. G. Prasad collaborates with scholars based in United States, India and Spain. M. G. Prasad's co-authors include Frank T. Fisher, Vinod R. Challa, Yong Shi, Malcolm J. Crocker, Md. Nasim Akhtar, M. A. Navascués, Lin Dong, G. P. Kapoor, W. Soedel and A. Gowrisankar and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration and Journal of Mathematical Analysis and Applications.

In The Last Decade

M. G. Prasad

62 papers receiving 1.4k citations

Hit Papers

A vibration energy harves... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
M. G. Prasad 948 713 697 295 161 68 1.5k
Lonny L. Thompson 455 0.5× 380 0.5× 589 0.8× 294 1.0× 25 0.2× 72 1.5k
Yasong Sun 378 0.4× 331 0.5× 166 0.2× 445 1.5× 114 0.7× 76 1.4k
Hamidreza Najafi 593 0.6× 149 0.2× 158 0.2× 220 0.7× 120 0.7× 59 1.4k
Keith A. Woodbury 564 0.6× 212 0.3× 147 0.2× 256 0.9× 375 2.3× 73 1.5k
Adrienne S. Lavine 1.0k 1.1× 723 1.0× 209 0.3× 108 0.4× 43 0.3× 74 1.5k
D. J. Shippy 162 0.2× 319 0.4× 361 0.5× 347 1.2× 91 0.6× 33 1.6k
Antoinette M. Maniatty 644 0.7× 300 0.4× 120 0.2× 154 0.5× 67 0.4× 60 1.4k
Dong Ye 191 0.2× 571 0.8× 418 0.6× 61 0.2× 54 0.3× 80 1.5k
Brian Vick 375 0.4× 224 0.3× 84 0.1× 86 0.3× 295 1.8× 78 1.3k
Qiang Gao 391 0.4× 174 0.2× 119 0.2× 424 1.4× 49 0.3× 97 1.2k

Countries citing papers authored by M. G. Prasad

Since Specialization
Citations

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

Fields of papers citing papers by M. G. Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. G. Prasad. 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 M. G. Prasad. The network helps show where M. G. Prasad may publish in the future.

Co-authorship network of co-authors of M. G. Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of M. G. Prasad. A scholar is included among the top collaborators of M. G. Prasad 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 M. G. Prasad. M. G. Prasad 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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