William J. Doll

9.5k total citations · 2 hit papers
61 papers, 7.1k citations indexed

About

William J. Doll is a scholar working on Information Systems and Management, Management Information Systems and Communication. According to data from OpenAlex, William J. Doll has authored 61 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems and Management, 19 papers in Management Information Systems and 18 papers in Communication. Recurrent topics in William J. Doll's work include Technology Adoption and User Behaviour (25 papers), Knowledge Management and Sharing (18 papers) and Innovation and Knowledge Management (13 papers). William J. Doll is often cited by papers focused on Technology Adoption and User Behaviour (25 papers), Knowledge Management and Sharing (18 papers) and Innovation and Knowledge Management (13 papers). William J. Doll collaborates with scholars based in United States, China and Saudi Arabia. William J. Doll's co-authors include Gholamreza Torkzadeh, Weidong Xia, Xiaodong Deng, Mark A. Vonderembse, Xenophon Koufteros, Anthony R. Hendrickson, Paul Hong, Qingyu Zhang, Abraham Y. Nahm and T. S. Raghunathan and has published in prestigious journals such as Academy of Management Journal, Management Science and Communications of the ACM.

In The Last Decade

William J. Doll

59 papers receiving 6.2k citations

Hit Papers

The Measurement of End-User Computing Satisfaction 1988 2026 2000 2013 1988 1994 500 1000 1.5k

Peers

William J. Doll
Comparison fields: 5 of 154
  • Information Systems and Management 3.1k
  • Management Information Systems 1.9k
  • Sociology and Political Science 1.7k
  • Strategy and Management 1.6k
  • Organizational Behavior and Human Resource Management 1.5k
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Citations per field, relative to William J. Doll
William J. Doll · 1×
Citations per year, relative to William J. Doll
William J. Doll · 1×

Countries citing papers authored by William J. Doll

Since Specialization
Citations

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

Fields of papers citing papers by William J. Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Doll. 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 William J. Doll. The network helps show where William J. Doll may publish in the future.

Co-authorship network of co-authors of William J. Doll

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Doll. A scholar is included among the top collaborators of William J. Doll 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 William J. Doll. William J. Doll 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
# Work Indexed citations
1 12
2 3
3 56
4 33
5 7
6 52
7 1
8 108
9 210
10 211
11 332
12 147
13
A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument breakdown →
1039
14 32
15 178
16
The Measurement of End-User Computing Satisfaction breakdown →
1825
17 49
18 50
19 171
20 28

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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