Maneesh Kumar

189 total papers · 6.9k total citations
125 papers, 5.0k citations indexed

About

Maneesh Kumar is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Maneesh Kumar has authored 125 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Management Information Systems, 57 papers in Strategy and Management and 28 papers in Industrial and Manufacturing Engineering. Recurrent topics in Maneesh Kumar's work include Quality and Supply Management (58 papers), Quality and Management Systems (23 papers) and Digital Transformation in Industry (16 papers). Maneesh Kumar is often cited by papers focused on Quality and Supply Management (58 papers), Quality and Management Systems (23 papers) and Digital Transformation in Industry (16 papers). Maneesh Kumar collaborates with scholars based in United Kingdom, India and Brazil. Maneesh Kumar's co-authors include Jiju Antony, Manoj Dora, Christian N. Madu, Xavier Gellynck, Andrea Chiarini, Manoj Tiwari, Byung Rae Cho, Frenie Jiju Antony, Vasco Sanchez Rodrigues and Daniel Perry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Food Science & Technology and IEEE Access.

In The Last Decade

Maneesh Kumar

116 papers receiving 4.6k citations

Author Peers

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

Author Last Decade Papers Cites
Maneesh Kumar 3.3k 2.9k 972 849 392 125 5.0k
Peter Hines 3.3k 1.0× 2.6k 0.9× 709 0.7× 928 1.1× 561 1.4× 83 4.3k
Kuan Yew Wong 1.8k 0.6× 3.5k 1.2× 1.2k 1.3× 1.5k 1.7× 521 1.3× 183 6.7k
Jan Olhager 3.8k 1.2× 3.2k 1.1× 1.2k 1.2× 864 1.0× 1.2k 3.1× 87 5.9k
Prem Vrat 1.7k 0.5× 1.8k 0.6× 1.2k 1.3× 900 1.1× 332 0.8× 159 5.0k
Jack R. Meredith 3.0k 0.9× 3.0k 1.0× 1.2k 1.2× 1.4k 1.7× 962 2.5× 115 6.7k
William Ho 2.2k 0.7× 3.0k 1.0× 1.3k 1.3× 2.2k 2.6× 675 1.7× 89 6.8k
Jan C. Fransoo 2.5k 0.8× 1.6k 0.6× 1.8k 1.8× 970 1.1× 312 0.8× 194 5.3k
Manoj K. Malhotra 3.1k 0.9× 2.8k 1.0× 802 0.8× 715 0.8× 645 1.6× 66 5.3k
Kevin Linderman 3.3k 1.0× 3.8k 1.3× 397 0.4× 999 1.2× 463 1.2× 74 5.7k
Sunil Chopra 3.2k 1.0× 3.2k 1.1× 872 0.9× 663 0.8× 239 0.6× 94 5.7k

Countries citing papers authored by Maneesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Maneesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maneesh Kumar

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