M. Prasanna

86 total papers · 896 total citations
51 papers, 596 citations indexed

About

M. Prasanna is a scholar working on Information Systems, Computer Networks and Communications and Software. According to data from OpenAlex, M. Prasanna has authored 51 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 15 papers in Computer Networks and Communications and 9 papers in Software. Recurrent topics in M. Prasanna's work include Software Testing and Debugging Techniques (9 papers), IoT and Edge/Fog Computing (7 papers) and Software Reliability and Analysis Research (7 papers). M. Prasanna is often cited by papers focused on Software Testing and Debugging Techniques (9 papers), IoT and Edge/Fog Computing (7 papers) and Software Reliability and Analysis Research (7 papers). M. Prasanna collaborates with scholars based in India, Saudi Arabia and South Korea. M. Prasanna's co-authors include S. Vinodh, Prabhu Jayagopal, Sandeep Kumar Mathivanan, Vineet Rakesh, Mohammed Riyaz Ahmed, S Sangeetha, R. Vijay Anand, Shaikh Muhammad Allayear, Arunkumar Thangavelu and Pardha Devaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Research and Applied Mathematical Modelling.

In The Last Decade

M. Prasanna

45 papers receiving 532 citations

Author Peers

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

Author						Papers	Cites
M. Prasanna	153	116	107	94	91	51	596
Umar Muhammad Modibbo	150 1.0×	119 1.0×	42 0.4×	23 0.2×	102 1.1×	36	647
Lúcio Câmara e Silva	220 1.4×	96 0.8×	106 1.0×	20 0.2×	88 1.0×	34	576
Mohamed Hanine	113 0.7×	77 0.7×	137 1.3×	18 0.2×	201 2.2×	53	564
Huma Hayat Khan	111 0.7×	87 0.8×	171 1.6×	19 0.2×	46 0.5×	25	546
Maísa Mendonça Silva	133 0.9×	77 0.7×	92 0.9×	16 0.2×	104 1.1×	45	594
Paul N. Finlay	133 0.9×	239 2.1×	70 0.7×	24 0.3×	113 1.2×	34	572
Bhuvan Unhelkar	80 0.5×	117 1.0×	186 1.7×	37 0.4×	17 0.2×	80	560
Kadir Alpaslan Demir	73 0.5×	53 0.5×	128 1.2×	32 0.3×	25 0.3×	30	650
Mahdi Karbasian	112 0.7×	93 0.8×	25 0.2×	81 0.9×	156 1.7×	61	563
Adarsh Anand	58 0.4×	40 0.3×	199 1.9×	184 2.0×	226 2.5×	104	624

Countries citing papers authored by M. Prasanna

Since Specialization

Citations

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

Fields of papers citing papers by M. Prasanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Prasanna

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