Eli Segev

2.8k citations
37 papers · 2.2k · h-index 19

Impact in

Papers in

Eli Segev

35 papers receiving 1.9k citations

Peers

Eli Segev
Comparison fields: 5 of 96
  • Management Information Systems 823
  • Information Systems and Management 490
  • Strategy and Management 746
  • Organizational Behavior and Human Resource Management 364
  • Management of Technology and Innovation 176
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Margi Levy United Kingdom
Donald W. Barclay Canada
Caroline Turner Australia
Joan Amanda Ballantine United Kingdom
Lars Engwall Sweden
John P. Hendry United Kingdom
Bo Hedberg Sweden
Eric D. Darr United States
Ranjani Krishnan United States
Juan Florín United States
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Citations per field
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Citations per year

Countries citing papers authored by Eli Segev

Since Specialization
Citations

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

Fields of papers citing papers by Eli Segev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Eli Segev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eli Segev Line = papers co-authored together Eli Segev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978451
2 1982257
3 1989220
4 1982155
5 1993135
6 1987124
7 1993115
8 197893
9 199982
10 199379
11 198777
12
A paradigm for management information systems
198176
13 198348
14 198042
15 198134
16 197929
17
Use of Management Information Systems: An Empirical Study
198125
18 198224
19 197822
20
Business unit strategy
199719

About Eli Segev

Eli Segev is a scholar working on Management Information Systems, Strategy and Management, Organizational Behavior and Human Resource Management, Information Systems and Management and Accounting, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (6 papers), Information Technology Governance and Strategy (5 papers), Technology Adoption and User Behaviour (4 papers), Management and Organizational Studies (3 papers), Advanced Chemical Physics Studies (3 papers), Business Strategy and Innovation (3 papers), Corporate Finance and Governance (2 papers) and Atomic and Molecular Physics (2 papers). The work is most often cited by research in Management Information Systems (823 citations), Information Systems and Management (490 citations), Strategy and Management (746 citations), Organizational Behavior and Human Resource Management (364 citations) and Management of Technology and Innovation (176 citations). Eli Segev has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Phillip Ein-Dor, Moshe Shapiro, Dov Dvir, Aaron J. Shenhar, Adi Raveh, Moshe Farjoun, Yair Aharoni, Seev Neumann, Shmuel Ellis and Daniella Margalit. Their work appears in journals such as Strategic Management Journal, Management Science, Information & Management, The Journal of Chemical Physics and Information Resources Management Journal.

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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