Rupy Sawhney

47 total papers · 706 total citations
20 papers, 511 citations indexed

About

Rupy Sawhney is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Rupy Sawhney has authored 20 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 5 papers in Strategy and Management and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Rupy Sawhney's work include Quality and Supply Management (5 papers), Innovation and Knowledge Management (4 papers) and Digital Transformation in Industry (2 papers). Rupy Sawhney is often cited by papers focused on Quality and Supply Management (5 papers), Innovation and Knowledge Management (4 papers) and Digital Transformation in Industry (2 papers). Rupy Sawhney collaborates with scholars based in United States, Brazil and China. Rupy Sawhney's co-authors include Ninad Pradhan, Jafar Namdar, Xueping Li, Maneesh Kumar, Guilherme Luz Tortorella, Xiaojin Miao, Meiping Wu, Anderson Paulo de Paiva, Rogério Santana Peruchi and Hoon Hwangbo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Research and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Rupy Sawhney

18 papers receiving 479 citations

Author Peers

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

Author						Papers	Cites
Rupy Sawhney	329	289	99	37	32	20	511
Manjeet Kharub	256 0.8×	167 0.6×	63 0.6×	36 1.0×	19 0.6×	53	526
Zaza Nadja Lee Hansen	169 0.5×	160 0.6×	159 1.6×	40 1.1×	12 0.4×	38	527
Winston G. Lewis	277 0.8×	238 0.8×	30 0.3×	56 1.5×	13 0.4×	20	571
Peter Zhang	200 0.6×	160 0.6×	34 0.3×	28 0.8×	27 0.8×	34	510
A. Xanthopoulos	352 1.1×	214 0.7×	70 0.7×	51 1.4×	31 1.0×	16	491
Ahmad Elshennawy	239 0.7×	304 1.1×	88 0.9×	112 3.0×	7 0.2×	31	485
Olufemi Adetunji	308 0.9×	387 1.3×	89 0.9×	67 1.8×	12 0.4×	41	558
Sonia Irshad Mari	298 0.9×	181 0.6×	28 0.3×	108 2.9×	7 0.2×	19	462
Orlando Durán	102 0.3×	67 0.2×	162 1.6×	191 5.2×	16 0.5×	20	527
Tung-Lai Hu	231 0.7×	96 0.3×	83 0.8×	85 2.3×	18 0.6×	17	535

Countries citing papers authored by Rupy Sawhney

Since Specialization

Citations

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

Fields of papers citing papers by Rupy Sawhney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupy Sawhney

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