Rahul Swarnkar

23 total papers · 492 total citations
15 papers, 376 citations indexed

About

Rahul Swarnkar is a scholar working on Management Information Systems, Management of Technology and Innovation and Industrial and Manufacturing Engineering. According to data from OpenAlex, Rahul Swarnkar has authored 15 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 7 papers in Management of Technology and Innovation and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Rahul Swarnkar's work include Scheduling and Optimization Algorithms (6 papers), Business Process Modeling and Analysis (4 papers) and Collaboration in agile enterprises (4 papers). Rahul Swarnkar is often cited by papers focused on Scheduling and Optimization Algorithms (6 papers), Business Process Modeling and Analysis (4 papers) and Collaboration in agile enterprises (4 papers). Rahul Swarnkar collaborates with scholars based in United Kingdom, Hong Kong and India. Rahul Swarnkar's co-authors include Manoj Kumar Tiwari, Felix T.S. Chan, Vipul Jain, J. A. Harding, Bishnu Prasad Das, R. I. M. Young, Alok Choudhary, Maneesh Kumar, Jiju Antony and Jennifer Harding and has published in prestigious journals such as International Journal of Production Research, The International Journal of Advanced Manufacturing Technology and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Rahul Swarnkar

14 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Rahul Swarnkar	266	72	52	49	46	15	376
PM Braiden	204 0.8×	84 1.2×	69 1.3×	42 0.9×	46 1.0×	17	363
George K. Hutchinson	232 0.9×	83 1.2×	58 1.1×	51 1.0×	30 0.7×	29	382
Mirko Kück	286 1.1×	70 1.0×	71 1.4×	24 0.5×	45 1.0×	19	445
Roger M. Kerr	220 0.8×	119 1.7×	61 1.2×	28 0.6×	86 1.9×	19	436
Biman K. Ghosh	170 0.6×	70 1.0×	83 1.6×	16 0.3×	43 0.9×	15	352
Kitae Shin	157 0.6×	133 1.8×	57 1.1×	24 0.5×	109 2.4×	10	360
David B. Pratt	145 0.5×	98 1.4×	144 2.8×	30 0.6×	39 0.8×	21	357
Sílvio Carmo Silva	364 1.4×	88 1.2×	54 1.0×	30 0.6×	27 0.6×	43	422
Ching‐Chung Kuo	153 0.6×	67 0.9×	79 1.5×	14 0.3×	65 1.4×	16	360
Choonjong Kwak	141 0.5×	74 1.0×	50 1.0×	41 0.8×	54 1.2×	24	337

Countries citing papers authored by Rahul Swarnkar

Since Specialization

Citations

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

Fields of papers citing papers by Rahul Swarnkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Swarnkar

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