Arnold Kamis

856 total citations
41 papers, 597 citations indexed

About

Arnold Kamis is a scholar working on Information Systems and Management, Sociology and Political Science and Marketing. According to data from OpenAlex, Arnold Kamis has authored 41 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems and Management, 15 papers in Sociology and Political Science and 11 papers in Marketing. Recurrent topics in Arnold Kamis's work include Technology Adoption and User Behaviour (17 papers), Digital Marketing and Social Media (9 papers) and Consumer Retail Behavior Studies (7 papers). Arnold Kamis is often cited by papers focused on Technology Adoption and User Behaviour (17 papers), Digital Marketing and Social Media (9 papers) and Consumer Retail Behavior Studies (7 papers). Arnold Kamis collaborates with scholars based in United States, Australia and Switzerland. Arnold Kamis's co-authors include Marios Koufaris, Michael Davern, Edward A. Stohr, Daniel M. Ladik, Tomás Isakowitz, Ajit Kambil, Dominique Haughton, Patrick Scholten, Henry C. Lucas and Heikki Topi and has published in prestigious journals such as Communications of the ACM, MIS Quarterly and International Journal of Environmental Research and Public Health.

In The Last Decade

Arnold Kamis

37 papers receiving 532 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arnold Kamis United States 12 250 238 126 110 88 41 597
Hyo‐Joo Han United States 9 304 1.2× 253 1.1× 159 1.3× 74 0.7× 129 1.5× 19 635
Félix Pascual-Miguel Spain 8 330 1.3× 287 1.2× 171 1.4× 58 0.5× 76 0.9× 13 566
Ramakrishna Ayyagari United States 12 181 0.7× 249 1.0× 100 0.8× 107 1.0× 54 0.6× 20 549
Nor Zairah Ab. Rahim Malaysia 9 279 1.1× 244 1.0× 63 0.5× 81 0.7× 76 0.9× 48 552
Ángel F. Agudo-Peregrina Spain 9 301 1.2× 272 1.1× 156 1.2× 140 1.3× 78 0.9× 17 897
Chon Abraham United States 10 257 1.0× 228 1.0× 68 0.5× 87 0.8× 78 0.9× 21 623
Borworn Papasratorn Thailand 12 455 1.8× 286 1.2× 121 1.0× 76 0.7× 73 0.8× 37 815
Andrew N. K. Chen United States 10 164 0.7× 164 0.7× 104 0.8× 68 0.6× 72 0.8× 28 492
Paul H. Schwager United States 12 216 0.9× 185 0.8× 53 0.4× 120 1.1× 65 0.7× 25 514
Dongmin Kim Canada 5 354 1.4× 412 1.7× 171 1.4× 95 0.9× 192 2.2× 17 696

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-authorship network of co-authors of Arnold Kamis

This figure shows the co-authorship network connecting the top 25 collaborators of Arnold Kamis. A scholar is included among the top collaborators of Arnold Kamis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arnold Kamis. Arnold Kamis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kamis, Arnold, et al.. (2024). Predictive models of electric vehicle adoption in the United States: Charging ahead with renewable energy. Transportation Research Interdisciplinary Perspectives. 24. 101041–101041. 6 indexed citations
2.
Slyke, Craig Van & Arnold Kamis. (2024). The Limits of Empiricism: A Critique of Data-Driven Theory Development. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 55(2). 120–146.
3.
Kamis, Arnold, et al.. (2022). Impact of earnings and self-employment opportunities on overeducation: evidence from occupations in the United States labor market 2002-2016. Journal of Education and Work. 35(5). 540–558. 1 indexed citations
4.
Kamis, Arnold, et al.. (2021). Machine Learning Models of COVID-19 Cases in the United States: A Study of Initial Lockdown and Reopen Regimes. Applied Sciences. 11(23). 11227–11227. 1 indexed citations
5.
Zai, Adrian, Seokjin Kim, Arnold Kamis, et al.. (2013). Applying operations research to optimize a novel population management system for cancer screening. Journal of the American Medical Informatics Association. 21(e1). e129–e135. 15 indexed citations
6.
Kamis, Arnold & Jonathan M. Frank. (2013). Advice Sharing Between Paired Users in Online Travel Planning. Journal of theoretical and applied electronic commerce research. 9(1). 3–4. 2 indexed citations
7.
Kamis, Arnold, Dominique Haughton, O. David Gulley, & Patrick Scholten. (2010). A Structural Equation Model of Gambling in the United Kingdom. 5. 37–48. 2 indexed citations
8.
Davern, Michael & Arnold Kamis. (2010). Knowledge matters: Restrictiveness and performance with decision support. Decision Support Systems. 49(4). 343–353. 10 indexed citations
9.
Kamis, Arnold, et al.. (2009). Synthesizing Huber’s Problem Solving and Kolb’s Learning Cycle: A Balanced Approach to Technical Problem Solving. Journal of the Association for Information Systems. 20(1). 99–112. 7 indexed citations
10.
Kamis, Arnold, et al.. (2008). Using an Attribute-Based Decision Support System for User-Customized Products Online: An Experimental Investigation. Journal of the Association for Information Systems. 36 indexed citations
11.
Kamis, Arnold, et al.. (2008). Using an Attribute-Based Decision Support System for User-Customized Products Online: An Experimental Investigation1. MIS Quarterly. 32(1). 159–177. 195 indexed citations
12.
Kambil, Ajit, et al.. (2005). Marketing in electronic commerce. 2679–2679. 1 indexed citations
13.
Kambil, Ajit, Marios Koufaris, Arnold Kamis, & Bruce D. Weinberg. (2005). Electronic Marketing. 173–173. 3 indexed citations
14.
Kamis, Arnold, et al.. (2004). Online Mass Customization and the Customer Experience. Journal of the Association for Information Systems. 481. 2 indexed citations
15.
Kamis, Arnold & Michael Davern. (2004). An Exploratory Model of Decision Quality and its Antecedents for Category Novices Using Multiple-Stage Shopping Engines. e-Service Journal. 4(1). 3–27. 9 indexed citations
16.
Garfield, Monica J., et al.. (2004). Champion Networks in Federated Interorganizational Systems: Case Studies in Telemedicine. Communications of the Association for Information Systems. 14. 5 indexed citations
17.
Kambil, Ajit, Arnold Kamis, Marios Koufaris, & Priscilla A. LaBarbera. (2000). Marketing in Electronic Commerce - Introduction.. Hawaii International Conference on System Sciences.
18.
Kamis, Arnold, et al.. (1998). The Extended RMM Methodology for Web Publishing. SSRN Electronic Journal. 20 indexed citations
19.
Isakowitz, Tomás, Arnold Kamis, & Marios Koufaris. (1996). Extending the Capabilities of Rmm: Russian Dolls and Hypertext. The Faculty Digital Archive (New York University). 2 indexed citations
20.
Kamis, Arnold, Frederick Garber, & Eric J. Walton. (1985). Radar Target Classification Studies - Software Development and Documentation.. Defense Technical Information Center (DTIC). 86. 26510. 5 indexed citations

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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