Eli Segev

2.5k citations
33 papers · 1.9k · h-index 18

Impact in

Papers in

Eli Segev

31 papers receiving 1.6k citations

Peers

Eli Segev
Comparison fields: 5 of 83
  • Management Information Systems 797
  • Information Systems and Management 472
  • Strategy and Management 736
  • Organizational Behavior and Human Resource Management 357
  • Management of Technology and Innovation 174
Replace William L. Fuerst with:
William L. Fuerst United States
Michael E. Treacy United States
Michael J. Tippins United States
Juan Llopis Spain
Eric Waarts Netherlands
Michael C. Row United States
Margi Levy United Kingdom
Ajit Kambil United States
Francisco J. Mata Costa Rica
Geneviève Bassellier Canada
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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 13 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978437
2 1982255
3 1989222
4 1993126
5 1987119
6 1993113
7 197886
8 199982
9 198780
10
A paradigm for management information systems
198176
11 199370
12 198133
13 197928
14
Use of Management Information Systems: An Empirical Study
198125
15 198224
16 197820
17
Business unit strategy
199719
18 198817
19 201415
20 201214

About Eli Segev

Eli Segev is a scholar working on Strategy and Management, Management Information Systems, Organizational Behavior and Human Resource Management, Accounting and Information Systems and Management, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (6 papers), Information Technology Governance and Strategy (5 papers), Business Strategy and Innovation (3 papers), Technology Adoption and User Behaviour (3 papers), Management and Organizational Studies (3 papers), Business Process Modeling and Analysis (2 papers), Customer Service Quality and Loyalty (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Management Information Systems (797 citations), Information Systems and Management (472 citations), Strategy and Management (736 citations), Organizational Behavior and Human Resource Management (357 citations) and Management of Technology and Innovation (174 citations). Eli Segev has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Phillip Ein-Dor, Dov Dvir, Aaron J. Shenhar, Adi Raveh, Moshe Farjoun, Yair Aharoni, Seev Neumann, Shmuel Ellis, Daniella Margalit and Abraham Carmeli. Their work appears in journals such as Strategic Management Journal, Management Science, Information & Management, Journal of Risk & Insurance 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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