Tor J. Larsen

42 total papers · 804 total citations
21 papers, 601 citations indexed

About

Tor J. Larsen is a scholar working on Management Information Systems, Strategy and Management and Information Systems and Management. According to data from OpenAlex, Tor J. Larsen has authored 21 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 7 papers in Strategy and Management and 6 papers in Information Systems and Management. Recurrent topics in Tor J. Larsen's work include Information Technology Governance and Strategy (7 papers), Technology Adoption and User Behaviour (6 papers) and Innovation and Knowledge Management (4 papers). Tor J. Larsen is often cited by papers focused on Information Technology Governance and Strategy (7 papers), Technology Adoption and User Behaviour (6 papers) and Innovation and Knowledge Management (4 papers). Tor J. Larsen collaborates with scholars based in Norway, United States and Saudi Arabia. Tor J. Larsen's co-authors include Øystein Sørebø, Linda Levine, James C. Wetherbe, J. David Naumann, Xiaodong Deng, Brian Donnellan, T. S. Raghunathan, Johan Olaisen, John Pearson and William J. Doll and has published in prestigious journals such as Computers in Human Behavior, Information & Management and International Journal of Information Management.

In The Last Decade

Tor J. Larsen

19 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Tor J. Larsen	325	212	141	110	81	21	601
Richard W. Scamell	264 0.8×	185 0.9×	157 1.1×	109 1.0×	119 1.5×	29	660
Gary Hackbarth	368 1.1×	275 1.3×	121 0.9×	112 1.0×	118 1.5×	24	657
Mohd Noah A. Rahman	324 1.0×	201 0.9×	81 0.6×	72 0.7×	123 1.5×	28	601
Sharifah Latifah Syed A. Kadir	228 0.7×	212 1.0×	166 1.2×	46 0.4×	150 1.9×	18	675
Jim Burkman	353 1.1×	211 1.0×	127 0.9×	116 1.1×	62 0.8×	11	608
E.R. McLean	310 1.0×	138 0.7×	187 1.3×	83 0.8×	70 0.9×	9	585
Ramlah Hussein	394 1.2×	217 1.0×	112 0.8×	93 0.8×	39 0.5×	39	688
Camille Grangé	230 0.7×	255 1.2×	128 0.9×	99 0.9×	48 0.6×	27	572
Hyo‐Joo Han	304 0.9×	252 1.2×	55 0.4×	71 0.6×	45 0.6×	19	631
Kiku Jones	263 0.8×	275 1.3×	128 0.9×	119 1.1×	164 2.0×	29	667

Countries citing papers authored by Tor J. Larsen

Since Specialization

Citations

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

Fields of papers citing papers by Tor J. Larsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tor J. Larsen. 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 Tor J. Larsen. The network helps show where Tor J. Larsen may publish in the future.

Co-authorship network of co-authors of Tor J. Larsen

This figure shows the co-authorship network connecting the top 25 collaborators of Tor J. Larsen. A scholar is included among the top collaborators of Tor J. Larsen 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 Tor J. Larsen. Tor J. Larsen 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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