Arnold Kamis

37 papers receiving 532 citations

Peers

Arnold Kamis
Comparison fields: 5 of 93
  • Information Systems and Management 250
  • Marketing 126
  • Organizational Behavior and Human Resource Management 88
  • Communication 42
  • General Decision Sciences 11
Replace Benedikt Berger with:
Benedikt Berger Germany
Raymond G. Sin United States
Dongmin Kim Canada
Rodrigo Perez‐Vega United Kingdom
Jens Riegelsberger United Kingdom
John Tripp United States
Verena Dorner Germany
Dennis Kira Canada
Christiane Lehrer Switzerland
Nima Kordzadeh United States
Arnold Kamis relative to Benedikt Berger Germany Benedikt Berger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arnold Kamis

Since Specialization
Citations

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

Fields of papers citing papers by Arnold Kamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008195
2 200852
3 200641
4
Using an Attribute-Based Decision Support System for User-Customized Products Online: An Experimental Investigation
200836
5 200232
6 200024
7
The Extended RMM Methodology for Web Publishing
199820
8 200419
9 200518
10 201116
11 201315
12 200615
13 201010
14 200610
15 202110
16 20049
17 20079
18
Synthesizing Huber’s Problem Solving and Kolb’s Learning Cycle: A Balanced Approach to Technical Problem Solving
20097
19 19987
20 20246

About Arnold Kamis

Arnold Kamis is a scholar working on Information Systems and Management, Sociology and Political Science, Marketing, Information Systems and Strategy and Management, having authored 41 papers that have together received 597 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (17 papers), Digital Marketing and Social Media (9 papers), Consumer Retail Behavior Studies (7 papers), Customer Service Quality and Loyalty (5 papers), Web Applications and Data Management (4 papers), Consumer Market Behavior and Pricing (4 papers), Multimedia Communication and Technology (4 papers) and Digital Platforms and Economics (3 papers). The work is most often cited by research in Information Systems and Management (250 citations), Marketing (126 citations), Organizational Behavior and Human Resource Management (88 citations), Communication (42 citations) and General Decision Sciences (11 citations). Arnold Kamis has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Marios Koufaris, Michael Davern, Edward A. Stohr, Daniel M. Ladik, Tomás Isakowitz, Ajit Kambil, Henry C. Lucas, Patrick Scholten, Dominique Haughton and Heikki Topi. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Education and Work, International Journal of Environmental Research and Public Health, ACM SIGMIS Database the DATABASE for Advances in Information Systems and Communications of the ACM.

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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