Amit Kumar Sinha

109 total papers · 1.7k total citations
60 papers, 559 citations indexed

About

Amit Kumar Sinha is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Amit Kumar Sinha has authored 60 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 8 papers in Mechanical Engineering. Recurrent topics in Amit Kumar Sinha's work include Sustainable Supply Chain Management (7 papers), Network Traffic and Congestion Control (4 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). Amit Kumar Sinha is often cited by papers focused on Sustainable Supply Chain Management (7 papers), Network Traffic and Congestion Control (4 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). Amit Kumar Sinha collaborates with scholars based in India, United States and Canada. Amit Kumar Sinha's co-authors include Ankush Anand, Bharat Prasad Sharma, Pankaj Sinha, Duck Young Kim, Dariusz Ceglarek, Yuanjie He, Christian Bischof, Kenneth Mitchell, Arvind Ingle and S. N. Vaidya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Analytical Biochemistry.

In The Last Decade

Amit Kumar Sinha

51 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Amit Kumar Sinha 118 109 103 98 68 60 559
Jie Wang 60 0.5× 105 1.0× 71 0.7× 120 1.2× 63 0.9× 46 640
Yi‐Ting Chen 151 1.3× 39 0.4× 101 1.0× 43 0.4× 66 1.0× 51 573
Naif Almakayeel 49 0.4× 77 0.7× 81 0.8× 73 0.7× 63 0.9× 53 697
Hakan Tozan 69 0.6× 61 0.6× 36 0.3× 122 1.2× 47 0.7× 79 608
Nannan Zhang 74 0.6× 55 0.5× 59 0.6× 109 1.1× 80 1.2× 30 559
El-Awady Attia 71 0.6× 79 0.7× 44 0.4× 171 1.7× 76 1.1× 60 674
Hao Cheng 86 0.7× 101 0.9× 101 1.0× 97 1.0× 29 0.4× 63 640
Yun Chen 181 1.5× 133 1.2× 110 1.1× 58 0.6× 36 0.5× 56 652
Jinfeng Wang 47 0.4× 138 1.3× 32 0.3× 152 1.6× 48 0.7× 70 684
David Hoyle 78 0.7× 119 1.1× 40 0.4× 28 0.3× 133 2.0× 48 606

Countries citing papers authored by Amit Kumar Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Sinha. 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 Amit Kumar Sinha. The network helps show where Amit Kumar Sinha may publish in the future.

Co-authorship network of co-authors of Amit Kumar Sinha

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