M. Manivannan

181 total papers · 1.6k total citations
96 papers, 987 citations indexed

About

M. Manivannan is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, M. Manivannan has authored 96 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 28 papers in Biomedical Engineering and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in M. Manivannan's work include Tactile and Sensory Interactions (24 papers), Heart Rate Variability and Autonomic Control (14 papers) and Non-Invasive Vital Sign Monitoring (12 papers). M. Manivannan is often cited by papers focused on Tactile and Sensory Interactions (24 papers), Heart Rate Variability and Autonomic Control (14 papers) and Non-Invasive Vital Sign Monitoring (12 papers). M. Manivannan collaborates with scholars based in India, United States and Finland. M. Manivannan's co-authors include Jung Kim, M.A. Srinivasan, Çağatay Başdoğan, Hyun Kim, Mandayam A. Srinivasan, Hari Vasudevan, Abhijit Biswas, Mel Slater, Jesper Mortensen and Manuel M. Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Frontiers in Psychology.

In The Last Decade

M. Manivannan

86 papers receiving 939 citations

Author Peers

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

Author						Papers	Cites
M. Manivannan	317	290	268	230	201	96	987
Roy Eagleson	375 1.2×	211 0.7×	92 0.3×	362 1.6×	73 0.4×	121	1.1k
Kenneth Salisbury	425 1.3×	212 0.7×	352 1.3×	475 2.1×	205 1.0×	45	1.2k
Hüseyin Çakmak	215 0.7×	98 0.3×	69 0.3×	301 1.3×	105 0.5×	104	1.2k
Mitsunori Tada	428 1.4×	174 0.6×	55 0.2×	277 1.2×	196 1.0×	128	1.2k
Laehyun Kim	276 0.9×	538 1.9×	143 0.5×	55 0.2×	208 1.0×	88	1.1k
Salvatore Sessa	338 1.1×	109 0.4×	76 0.3×	89 0.4×	140 0.7×	70	880
Daniel Simões Lopes	212 0.7×	47 0.2×	74 0.3×	208 0.9×	173 0.9×	67	931
Kourosh Zareinia	720 2.3×	114 0.4×	368 1.4×	399 1.7×	48 0.2×	69	1.2k
Sachin Patil	445 1.4×	90 0.3×	135 0.5×	322 1.4×	54 0.3×	71	983
Jindong Liu	542 1.7×	67 0.2×	186 0.7×	223 1.0×	43 0.2×	52	1.1k

Countries citing papers authored by M. Manivannan

Since Specialization

Citations

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

Fields of papers citing papers by M. Manivannan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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