Arvind Karunakaran

76 total papers · 535 total citations
30 papers, 303 citations indexed

About

Arvind Karunakaran is a scholar working on Sociology and Political Science, Communication and Strategy and Management. According to data from OpenAlex, Arvind Karunakaran has authored 30 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 8 papers in Communication and 7 papers in Strategy and Management. Recurrent topics in Arvind Karunakaran's work include Knowledge Management and Sharing (6 papers), Digital Economy and Work Transformation (4 papers) and Digital Platforms and Economics (4 papers). Arvind Karunakaran is often cited by papers focused on Knowledge Management and Sharing (6 papers), Digital Economy and Work Transformation (4 papers) and Digital Platforms and Economics (4 papers). Arvind Karunakaran collaborates with scholars based in United States, Canada and Netherlands. Arvind Karunakaran's co-authors include Raghu Garud, Hatim A. Rahman, Madhu C. Reddy, Patricia Ruma Spence, Joel Gehman, Wanda J. Orlikowski, Lindsey Cameron, Susan Scott, Madhu Reddy and Madian Khabsa and has published in prestigious journals such as Academy of Management Journal, Administrative Science Quarterly and Organization Science.

In The Last Decade

Arvind Karunakaran

25 papers receiving 291 citations

Author Peers

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

Author						Papers	Cites
Arvind Karunakaran	122	68	54	52	52	30	303
Elina H. Hwang	120 1.0×	60 0.9×	28 0.5×	29 0.6×	134 2.6×	27	353
Willem Standaert	92 0.8×	35 0.5×	35 0.6×	17 0.3×	52 1.0×	22	288
Nadège Levallet	65 0.5×	111 1.6×	49 0.9×	43 0.8×	35 0.7×	22	360
Imed Boughzala	79 0.6×	70 1.0×	22 0.4×	35 0.7×	76 1.5×	40	360
Boyka Simeonova	60 0.5×	83 1.2×	30 0.6×	22 0.4×	39 0.8×	20	240
Michael D. Dzandu	105 0.9×	69 1.0×	49 0.9×	34 0.7×	74 1.4×	32	355
Parth Patel	70 0.6×	66 1.0×	133 2.5×	17 0.3×	37 0.7×	33	343
Luis Manuel Cerdá Suárez	112 0.9×	42 0.6×	31 0.6×	67 1.3×	24 0.5×	35	314
Lucia Marchegiani	69 0.6×	119 1.8×	31 0.6×	31 0.6×	24 0.5×	33	308
Jin Gerlach	168 1.4×	39 0.6×	21 0.4×	73 1.4×	75 1.4×	22	329

Countries citing papers authored by Arvind Karunakaran

Since Specialization

Citations

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

Fields of papers citing papers by Arvind Karunakaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Karunakaran

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