S. Prasanna

52 total papers · 457 total citations
22 papers, 296 citations indexed

About

S. Prasanna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, S. Prasanna has authored 22 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in S. Prasanna's work include Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (3 papers) and Chaos-based Image/Signal Encryption (3 papers). S. Prasanna is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (3 papers) and Chaos-based Image/Signal Encryption (3 papers). S. Prasanna collaborates with scholars based in India. S. Prasanna's co-authors include Aritra Mitra, Y. V. Subba Rao, Samarendra Dandapat, S. Mercy Shalinie, Gayadhar Pradhan, Rohit Sinha, P. Krishnamoorthy, N. Sriraam, K. Sreenivasa Rao and Anil Kumar Vuppala and has published in prestigious journals such as Indian Journal of Science and Technology, International Journal of Speech Technology and International Journal of Engineering & Technology.

In The Last Decade

S. Prasanna

18 papers receiving 247 citations

Author Peers

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

Author						Papers	Cites
S. Prasanna	164	107	66	35	27	22	296
Saroj Kumar Panigrahy	171 1.0×	123 1.1×	50 0.8×	23 0.7×	59 2.2×	26	280
Md. Faijul Amin	83 0.5×	222 2.1×	43 0.7×	39 1.1×	30 1.1×	19	360
Saïd Najah	150 0.9×	76 0.7×	23 0.3×	9 0.3×	16 0.6×	25	290
Salim Muhsin Wadi	134 0.8×	78 0.7×	91 1.4×	15 0.4×	26 1.0×	15	277
Wei Guo	152 0.9×	155 1.4×	58 0.9×	21 0.6×	23 0.9×	22	308
Hanaa A. Abdallah	169 1.0×	49 0.5×	16 0.2×	18 0.5×	18 0.7×	37	295
Erhan Gökçay	110 0.7×	158 1.5×	30 0.5×	54 1.5×	32 1.2×	15	291
Utpal Nandi	125 0.8×	139 1.3×	74 1.1×	35 1.0×	21 0.8×	42	297
Zhimao Lu	193 1.2×	185 1.7×	31 0.5×	19 0.5×	39 1.4×	40	312
Robert Zimmer	104 0.6×	133 1.2×	70 1.1×	29 0.8×	13 0.5×	22	235

Countries citing papers authored by S. Prasanna

Since Specialization

Citations

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

Fields of papers citing papers by S. Prasanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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