Ramakrishnan Krishnan

36 total papers · 734 total citations
27 papers, 521 citations indexed

About

Ramakrishnan Krishnan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ramakrishnan Krishnan has authored 27 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Ramakrishnan Krishnan's work include Nanoparticles: synthesis and applications (6 papers), Handwritten Text Recognition Techniques (5 papers) and Semiconductor materials and devices (5 papers). Ramakrishnan Krishnan is often cited by papers focused on Nanoparticles: synthesis and applications (6 papers), Handwritten Text Recognition Techniques (5 papers) and Semiconductor materials and devices (5 papers). Ramakrishnan Krishnan collaborates with scholars based in India, United States and Saudi Arabia. Ramakrishnan Krishnan's co-authors include Vijaykrishnan Narayanan, S. Mookerjea, Suman Datta, Panyam Narahari Sastry, Yuan Xie, Kathirvel Brindhadevi, Nguyễn Thúy Lan, Goshaidas Ray, Sung Min Bae and Sulaiman Ali Alharbi and has published in prestigious journals such as Chemosphere, Fuel and IEEE Transactions on Electron Devices.

In The Last Decade

Ramakrishnan Krishnan

27 papers receiving 494 citations

Author Peers

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

Author						Papers	Cites
Ramakrishnan Krishnan	289	100	59	50	47	27	521
Ge Song	117 0.4×	131 1.3×	26 0.4×	46 0.9×	20 0.4×	41	585
Peng Chen	176 0.6×	102 1.0×	16 0.3×	37 0.7×	70 1.5×	45	537
Megha Agarwal	47 0.2×	28 0.3×	126 2.1×	30 0.6×	11 0.2×	58	462
Ao Li	63 0.2×	232 2.3×	68 1.2×	18 0.4×	7 0.1×	55	616
Hee‐Chul Kim	234 0.8×	38 0.4×	27 0.5×	25 0.5×	41 0.9×	49	612
Jian Kuang	446 1.5×	48 0.5×	43 0.7×	25 0.5×	238 5.1×	37	547
Rosario Arjona	38 0.1×	292 2.9×	56 0.9×	105 2.1×	38 0.8×	34	588
Yuanyuan Yuan	45 0.2×	71 0.7×	32 0.5×	19 0.4×	11 0.2×	44	534
R. Gayathri	124 0.4×	60 0.6×	87 1.5×	102 2.0×	3 0.1×	60	489
Yi Wei	245 0.8×	74 0.7×	26 0.4×	34 0.7×	4 0.1×	37	585

Countries citing papers authored by Ramakrishnan Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Ramakrishnan Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishnan Krishnan

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