Phillip Ein-Dor

2.3k citations
55 papers · 1.8k · h-index 18

Impact in

Papers in

Phillip Ein-Dor

54 papers receiving 1.5k citations

Peers

Phillip Ein-Dor
Comparison fields: 5 of 106
  • Management Information Systems 814
  • Information Systems and Management 500
  • Communication 199
  • Strategy and Management 402
  • Applied Microbiology and Biotechnology 28
Replace Anastasia Papazafeiropoulou with:
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Beat Schmid Switzerland
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Bruce R. Lewis United States
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Citations per field
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Citations per year

Countries citing papers authored by Phillip Ein-Dor

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Ein-Dor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip Ein-Dor. 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 Phillip Ein-Dor. The network helps show where Phillip Ein-Dor may publish in the future.

Co-authors

The 25 scholars most cited alongside Phillip Ein-Dor, 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 Phillip Ein-Dor Line = papers co-authored together Phillip Ein-Dor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978460
2 1982265
3 1993142
4 197896
5 200684
6 199381
7
A paradigm for management information systems
198179
8 198766
9 199758
10 198557
11 199755
12 200431
13 198029
14
Use of Management Information Systems: An Empirical Study
198125
15 199121
16 200921
17 201019
18 198818
19 200717
20 197616

About Phillip Ein-Dor

Phillip Ein-Dor is a scholar working on Management Information Systems, Sociology and Political Science, Artificial Intelligence, Communication and Information Systems, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (10 papers), Semantic Web and Ontologies (7 papers), Knowledge Management and Sharing (6 papers), Big Data and Business Intelligence (6 papers), Technology Adoption and User Behaviour (6 papers), Information Technology Governance and Strategy (5 papers), ICT Impact and Policies (5 papers) and Open Source Software Innovations (4 papers). The work is most often cited by research in Management Information Systems (814 citations), Information Systems and Management (500 citations), Communication (199 citations), Strategy and Management (402 citations) and Applied Microbiology and Biotechnology (28 citations). Phillip Ein-Dor has collaborated with scholars based in Israel, United States and New Zealand. Frequent co-authors include Eli Segev, Michael Myers, K. S. Raman, William R. King, Saggi Nevo, Dorit Nevo, Paul Alpar, Brian Hollocks, Mical Paul and Gai Milo. Their work appears in journals such as Journal of the Association for Information Systems, Communications of the ACM, Information & Management, Management Science and Journal of Management Information Systems.

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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