D. Robey

13 papers receiving 672 citations

Peers

D. Robey
Comparison fields: 5 of 64
  • Information Systems and Management 324
  • Communication 271
  • Management Information Systems 175
  • Management of Technology and Innovation 94
  • Computer Science Applications 67
Replace Charles R. Franz with:
Charles R. Franz United States
Lai Lai Tung Singapore
Huoy Min Khoo United States
Peggy M. Beranek United States
Betty Vandenbosch United States
Nancy Paule Melone United States
Masayo Fujimoto Japan
M. Gordon Hunter Canada
Erling C. Havn Denmark
Martin D. Goslar United States
D. Robey relative to Charles R. Franz United States Charles R. Franz's profile →
Citations per field
00.5×
Charles R. Franz · 1×
Citations per year

Countries citing papers authored by D. Robey

Since Specialization
Citations

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

Fields of papers citing papers by D. Robey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside D. Robey, 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 D. Robey Line = papers co-authored together D. Robey links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1979426
2 2000224
3 200356
4 199434
5
Strategies for research on information systems in organizations. A critical analysis of research purpose and time frame
198727
6 197711
7 197310
8
Plugging the Knowledge Drain: Strategies and Technologies for Acquiring Knowledge in Lean Organizations
19992
9 20042
10 19872
11 20021
12
FACTORS INFLUENCING THE ADOPTION OF MANAGEMENT INNOVATIONS IN THE CTA
19761
13 19721
14 20030

About D. Robey

D. Robey is a scholar working on Sociology and Political Science, Management Science and Operations Research, Communication, Social Psychology and Management Information Systems, having authored 14 papers that have together received 797 indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (3 papers), Knowledge Management and Sharing (2 papers), Team Dynamics and Performance (2 papers), Big Data and Business Intelligence (2 papers), Digital Humanities and Scholarship (2 papers), Technology Adoption and User Behaviour (1 paper), Construction Project Management and Performance (1 paper) and Scheduling and Optimization Algorithms (1 paper). The work is most often cited by research in Information Systems and Management (324 citations), Communication (271 citations), Management Information Systems (175 citations), Management of Technology and Innovation (94 citations) and Computer Science Applications (67 citations). D. Robey has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Huoy Min Khoo, Christopher M. Powers, Jin Li, Charles R. Franz, Thomas S. Miller and Veda C. Storey. Their work appears in journals such as Academy of Management Journal, Information and Organization, European Journal of Information Systems, IEEE Transactions on Professional Communication and Literary and Linguistic Computing.

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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