Ramakrishna Gottipati

23 total papers · 485 total citations
17 papers, 361 citations indexed

About

Ramakrishna Gottipati is a scholar working on Cognitive Neuroscience, Water Science and Technology and Rehabilitation. According to data from OpenAlex, Ramakrishna Gottipati has authored 17 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Water Science and Technology and 4 papers in Rehabilitation. Recurrent topics in Ramakrishna Gottipati's work include Adsorption and biosorption for pollutant removal (5 papers), Stroke Rehabilitation and Recovery (4 papers) and Motor Control and Adaptation (4 papers). Ramakrishna Gottipati is often cited by papers focused on Adsorption and biosorption for pollutant removal (5 papers), Stroke Rehabilitation and Recovery (4 papers) and Motor Control and Adaptation (4 papers). Ramakrishna Gottipati collaborates with scholars based in United States, India and Switzerland. Ramakrishna Gottipati's co-authors include Susmita Mishra, Pong P. Chu, Janos L. Grantner and Rajiv Dubey and has published in prestigious journals such as Chemical Engineering Journal, Journal of Industrial and Engineering Chemistry and The Canadian Journal of Chemical Engineering.

In The Last Decade

Ramakrishna Gottipati

17 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Ramakrishna Gottipati 173 108 59 47 47 17 361
Diğdem Trak 167 1.0× 116 1.1× 73 1.2× 88 1.9× 32 0.7× 23 372
Emna Ellouze 261 1.5× 105 1.0× 40 0.7× 39 0.8× 23 0.5× 15 400
Weiliang Pan 75 0.4× 92 0.9× 19 0.3× 26 0.6× 18 0.4× 20 297
Yeji Kim 200 1.2× 41 0.4× 96 1.6× 30 0.6× 9 0.2× 26 389
Khalid El Ass 224 1.3× 96 0.9× 57 1.0× 39 0.8× 49 1.0× 17 355
Yiqun Xiong 172 1.0× 137 1.3× 104 1.8× 60 1.3× 57 1.2× 12 387
Hamza Laksaci 220 1.3× 69 0.6× 75 1.3× 85 1.8× 43 0.9× 23 383
K. Saravanakumar 106 0.6× 112 1.0× 59 1.0× 51 1.1× 101 2.1× 32 363
Carlos Carbonell-Alcaina 253 1.5× 129 1.2× 89 1.5× 25 0.5× 43 0.9× 12 388
Cheryl Pellerin 85 0.5× 75 0.7× 21 0.4× 69 1.5× 32 0.7× 16 328

Countries citing papers authored by Ramakrishna Gottipati

Since Specialization
Citations

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

Fields of papers citing papers by Ramakrishna Gottipati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishna Gottipati

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