Robert P. Cerveny

762 citations
30 papers · 551 indexed · h-index 12
Topics
Technology Adoption and User Behaviour (4 papers)Intelligent Tutoring Systems and Adaptive Learning (3 papers)Innovation Diffusion and Forecasting (3 papers)
Partner nations
United States

In The Last Decade

Robert P. Cerveny

27 papers receiving 471 citations

Peers

Robert P. Cerveny
Comparison fields: 5 of 66
  • Information Systems 169
  • Sociology and Political Science 136
  • Information Systems and Management 133
  • Management Information Systems 104
  • Organizational Behavior and Human Resource Management 76
Replace Mitzi G. Pitts with:
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Citations per field
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Citations per year

Countries citing papers authored by Robert P. Cerveny

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Cerveny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Cerveny. 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 Robert P. Cerveny. The network helps show where Robert P. Cerveny may publish in the future.

Co-authorship network of co-authors of Robert P. Cerveny

This figure shows the co-authorship network connecting the top 25 collaborators of Robert P. Cerveny. A scholar is included among the top collaborators of Robert P. Cerveny 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 Robert P. Cerveny. Robert P. Cerveny 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
#WorkIndexed citations
1 100
2 2
3 1
4
THE INFLUENCE OF NATIONAL CULTURE IN INFORMATION TECHNOLOGY PRODUCT ADOPTION
48
5
INFORMATION TECHNOLOGY DIFFUSION IN LATINAMERICA: SOME EMPIRICAL RESULTS
1
6 2
7 0
8
The impact of national culture and other national-level indicators on information technology (it) diffusion
4
9 43
10
Strategic Information Systems for Strategic, Manufacturing, Operations, Marketing, Sales, Financial and Human Resources Management
4
11 24
12 1
13 47
14 11
15
Large business organizations' use of PC technology
4
16 27
17 29
18 5
19 5
20 2

About Robert P. Cerveny

Robert P. Cerveny is a scholar working on Information Systems and Management, Software and Management Science and Operations Research, having authored 30 papers that have together received 551 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Innovation Diffusion and Forecasting (3 papers). The work is most often cited by research in Information Systems and Management (133 citations), Management Information Systems (104 citations) and Communication (62 citations). Robert P. Cerveny has collaborated with scholars based in United States. Frequent co-authors include G. Lawrence Sanders, Kallol Bagchi, Chul Woo Yoo, Peeter Kirs, George M. Kasper, Edward J. Garrity, Vahid Lotfi, Nallan C. Suresh, Shashidhar Kaparthi and Mark Peterson. Their work appears in journals such as Communications of the ACM, European Journal of Operational Research and MIS Quarterly.

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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