Bill Doolin

53 papers receiving 2.1k citations

Peers

Bill Doolin
Comparison fields: 5 of 123
  • Management Information Systems 558
  • Information Systems and Management 420
  • Organizational Behavior and Human Resource Management 510
  • Public Administration 124
  • Communication 220
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Carmen Sirianni United States
Frank K. Y. Chan Hong Kong
Debra Howcroft United Kingdom
Abraham B. Shani United States
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Torsten Oliver Salge Germany
Pushkala Prasad United States
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Citations per year

Countries citing papers authored by Bill Doolin

Since Specialization
Citations

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

Fields of papers citing papers by Bill Doolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Bill Doolin, 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 Bill Doolin Line = papers co-authored together Bill Doolin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002291
2 2002228
3 2016208
4 2005198
5 2004198
6 2002119
7 2003116
8 201292
9 200786
10 200782
11 199876
12 200151
13 199947
14 199946
15 199641
16 201139
17 201838
18 199837
19 200437
20
Drivers and Inhibitors Impacting Technology Adoption: A Qualitative Investigation into the Australian Experience with XBRL
200530

About Bill Doolin

Bill Doolin is a scholar working on Sociology and Political Science, Management Information Systems, Organizational Behavior and Human Resource Management, Strategy and Management and Information Systems and Management, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (17 papers), Management and Organizational Studies (10 papers), Accounting and Organizational Management (7 papers), Innovation and Knowledge Management (6 papers), Technology Adoption and User Behaviour (6 papers), Open Source Software Innovations (5 papers), Complex Systems and Decision Making (4 papers) and E-Government and Public Services (4 papers). The work is most often cited by research in Management Information Systems (558 citations), Information Systems and Management (420 citations), Organizational Behavior and Human Resource Management (510 citations), Public Administration (124 citations) and Communication (220 citations). Bill Doolin has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Antonio Díaz Andrade, Indrit Troshani, Joan Cooper, Lois Burgess, Alan Lowe, Laurie McLeod, Stuart Dillon, James Corner, Deryl Northcott and Brian P. Bloomfield. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Information Technology, Public Management Review, Information Systems Journal and Discourse Studies.

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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