Ramakrishnan Iyer

39 total papers · 2.3k total citations
17 papers, 659 citations indexed

About

Ramakrishnan Iyer is a scholar working on Cognitive Neuroscience, Nuclear and High Energy Physics and Astronomy and Astrophysics. According to data from OpenAlex, Ramakrishnan Iyer has authored 17 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Nuclear and High Energy Physics and 5 papers in Astronomy and Astrophysics. Recurrent topics in Ramakrishnan Iyer's work include Neural dynamics and brain function (8 papers), Black Holes and Theoretical Physics (6 papers) and Cosmology and Gravitation Theories (5 papers). Ramakrishnan Iyer is often cited by papers focused on Neural dynamics and brain function (8 papers), Black Holes and Theoretical Physics (6 papers) and Cosmology and Gravitation Theories (5 papers). Ramakrishnan Iyer collaborates with scholars based in United States, India and France. Ramakrishnan Iyer's co-authors include Ştefan Mihalaş, Christof Koch, Vilas Menon, Nathan W. Gouwens, Hwee Kuan Lee, Pierce K. H. Chow, Malay Singh, Surya Pavan Yenamandra, Oleg V. Grinchuk and Kiat Hon Lim and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Ramakrishnan Iyer

16 papers receiving 654 citations

Author Peers

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

Author						Papers	Cites
Ramakrishnan Iyer	387	212	148	140	80	17	659
Remus Oşan	353 0.9×	202 1.0×	149 1.0×	56 0.4×	18 0.2×	33	618
Srisairam Achuthan	176 0.5×	99 0.5×	297 2.0×	22 0.2×	41 0.5×	26	683
C. Daniel Meliza	242 0.6×	157 0.7×	86 0.6×	82 0.6×	3 0.0×	24	554
Claes Holmgren	387 1.0×	322 1.5×	285 1.9×	96 0.7×	9 0.1×	11	711
Waldemar Swiercz	228 0.6×	506 2.4×	200 1.4×	46 0.3×	50 0.6×	12	732
Steven N. Baldassano	334 0.9×	115 0.5×	153 1.0×	43 0.3×	27 0.3×	19	716
R. H. Jindra	453 1.2×	164 0.8×	44 0.3×	23 0.2×	84 1.1×	14	742
Manuel Levy	245 0.6×	203 1.0×	154 1.0×	33 0.2×	19 0.2×	19	717
Yuri Dabaghian	281 0.7×	228 1.1×	125 0.8×	13 0.1×	30 0.4×	43	745
You Cai	51 0.1×	101 0.5×	135 0.9×	151 1.1×	14 0.2×	21	567

Countries citing papers authored by Ramakrishnan Iyer

Since Specialization

Citations

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

Fields of papers citing papers by Ramakrishnan Iyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishnan Iyer

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