Brian Donnellan

109 papers receiving 983 citations

Peers

Brian Donnellan
Comparison fields: 5 of 105
  • Management of Technology and Innovation 172
  • Computer Science Applications 128
  • Management Information Systems 168
  • Strategy and Management 256
  • Information Systems and Management 103
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Judy McKay Australia
John Stouby Persson Denmark
Bo Dahlbom Sweden
Angeliki Poulymenakou Greece
Ulrika H. Westergren Sweden
Will Venters United Kingdom
Chung‐Yang Chen Taiwan
Varadharajan Sridhar India
Panos Constantinides United Kingdom
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Citations per year

Countries citing papers authored by Brian Donnellan

Since Specialization
Citations

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

Fields of papers citing papers by Brian Donnellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Donnellan, 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 Brian Donnellan Line = papers co-authored together Brian Donnellan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 201075
3 199469
4 201066
5 201254
6 201750
7 201140
8 201231
9 201131
10
Developing a sustainable IT capability: lessons from Intel's journey
201229
11 201226
12 201822
13 200622
14 201221
15 201817
16
Factors That Affect The Adoption Of Cloud Computing For An Enterprise: A Case Study Of Cloud Adoption Within Intel Corporation
201316
17 201416
18 201516
19 201015
20 200614

About Brian Donnellan

Brian Donnellan is a scholar working on Management of Technology and Innovation, Strategy and Management, Sociology and Political Science, Management Information Systems and Political Science and International Relations, having authored 114 papers that have together received 1.1k indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (29 papers), Innovation and Knowledge Management (26 papers), Innovative Approaches in Technology and Social Development (22 papers), Smart Cities and Technologies (15 papers), E-Government and Public Services (14 papers), Big Data and Business Intelligence (11 papers), Green IT and Sustainability (11 papers) and Knowledge Management and Sharing (9 papers). The work is most often cited by research in Management of Technology and Innovation (172 citations), Computer Science Applications (128 citations), Management Information Systems (168 citations), Strategy and Management (256 citations) and Information Systems and Management (103 citations). Brian Donnellan has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include Markus Helfert, Eoin Whelan, Edward Curry, Charles L. Sheridan, William Golden, David G. Collings, Robin Teigland, A. Mathewson, W.A. Lane and Pierre Berthon. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Information Technology, Technological Forecasting and Social Change, R and D Management and IEEE Software.

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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