Ch. Mohan Sai Kumar

23 total papers · 1.0k total citations
15 papers, 654 citations indexed

About

Ch. Mohan Sai Kumar is a scholar working on Artificial Intelligence, Modeling and Simulation and Computer Networks and Communications. According to data from OpenAlex, Ch. Mohan Sai Kumar has authored 15 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Modeling and Simulation and 2 papers in Computer Networks and Communications. Recurrent topics in Ch. Mohan Sai Kumar's work include COVID-19 epidemiological studies (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Process Optimization and Integration (2 papers). Ch. Mohan Sai Kumar is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Process Optimization and Integration (2 papers). Ch. Mohan Sai Kumar collaborates with scholars based in India, United States and Iraq. Ch. Mohan Sai Kumar's co-authors include Timothy M. Brenza, K.E. ArunKumar, Dinesh V. Kalaga, Masahiro Kawaji, Govinda Chilkoor, Manglesh Kumar Gupta, Ashween Deepak Nannaware, C.S. Chanotiya, P. K. Rout and Ravi Raushan and has published in prestigious journals such as Renewable Energy, Applied Soft Computing and Chaos Solitons & Fractals.

In The Last Decade

Ch. Mohan Sai Kumar

12 papers receiving 635 citations

Hit Papers

Solar energy: A promising... 2022 2026 2023 2024 2022 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Ch. Mohan Sai Kumar 140 135 106 95 84 15 654
Paula Maçaira 81 0.6× 233 1.7× 47 0.4× 69 0.7× 57 0.7× 34 731
Nadia Al‐Rousan 289 2.1× 129 1.0× 229 2.2× 79 0.8× 23 0.3× 33 619
Anuradha Tomar 161 1.1× 219 1.6× 121 1.1× 193 2.0× 26 0.3× 87 669
Iman Rahimi 134 1.0× 66 0.5× 15 0.1× 174 1.8× 27 0.3× 34 661
Pascalin Tiam Kapen 100 0.7× 184 1.4× 39 0.4× 89 0.9× 59 0.7× 44 777
Mehmet Şahin 93 0.7× 47 0.3× 16 0.2× 240 2.5× 49 0.6× 23 772
Behrouz Pirouz 72 0.5× 24 0.2× 33 0.3× 142 1.5× 208 2.5× 30 632
Darong Liu 49 0.3× 151 1.1× 29 0.3× 91 1.0× 187 2.2× 17 591
Hasnain Iftikhar 107 0.8× 278 2.1× 63 0.6× 16 0.2× 60 0.7× 38 624
Neeraj Gupta 127 0.9× 342 2.5× 25 0.2× 193 2.0× 16 0.2× 57 744

Countries citing papers authored by Ch. Mohan Sai Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ch. Mohan Sai Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ch. Mohan Sai Kumar. 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 Ch. Mohan Sai Kumar. The network helps show where Ch. Mohan Sai Kumar may publish in the future.

Co-authorship network of co-authors of Ch. Mohan Sai Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ch. Mohan Sai Kumar. A scholar is included among the top collaborators of Ch. Mohan Sai Kumar 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 Ch. Mohan Sai Kumar. Ch. Mohan Sai Kumar 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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