Niv Ahituv

2.0k citations
69 papers · 1.4k · h-index 19

Impact in

Papers in

    • Information Technology Governance and Strategy 9
    • ERP Systems Implementation and Impact 6
    • Big Data and Business Intelligence 5
    • Software Engineering Research 4
    • Service-Oriented Architecture and Web Services 4

Niv Ahituv

66 papers receiving 1.2k citations

Peers

Niv Ahituv
Comparison fields: 5 of 104
  • Management Information Systems 569
  • Information Systems and Management 273
  • Management Science and Operations Research 251
  • Communication 118
  • Strategy and Management 252
Replace James A. Senn with:
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Murugan Anandarajan United States
John F. Rockart United States
Seev Neumann Israel
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Citations per field
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Citations per year

Countries citing papers authored by Niv Ahituv

Since Specialization
Citations

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

Fields of papers citing papers by Niv Ahituv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980167
2
Principles of information systems for management
1982131
3 1998120
4 198995
5 200271
6
ASSESSING THE VALUE OF INFORMATION: PROBLEMS AND APPROACHES
198968
7 198758
8 198456
9 199854
10 198751
11 199643
12 198941
13 200136
14 199226
15 200724
16 201023
17 198720
18 198719
19 198418
20
Principles of information systems for management (2nd ed.)
198618

About Niv Ahituv

Niv Ahituv is a scholar working on Management Information Systems, Information Systems, Management Science and Operations Research, Computer Networks and Communications and Communication, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Information Technology Governance and Strategy (9 papers), Technology Adoption and User Behaviour (6 papers), ERP Systems Implementation and Impact (6 papers), Big Data and Business Intelligence (5 papers), Knowledge Management and Sharing (4 papers), Software Engineering Research (4 papers), Team Dynamics and Performance (4 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Management Information Systems (569 citations), Information Systems and Management (273 citations), Management Science and Operations Research (251 citations), Communication (118 citations) and Strategy and Management (252 citations). Niv Ahituv has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Seev Neumann, Moshe Zviran, Magid Igbaria, Arik Ragowsky, Yair Wand, Elad Segev, Nitza Geri, Oded Berman, Malcolm C. Munro and Karine Barzilai‐Nahon. Their work appears in journals such as Communications of the ACM, Information & Management, MIS Quarterly, Decision Sciences and Computers & Operations Research.

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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