Aaron Baird

43 papers receiving 1.2k citations

Aaron Baird's Hit Papers

The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts 2021 · 254 citations
2540+1+3Years since publication50100150200250

Peers

Aaron Baird
Comparison fields: 5 of 102
  • Information Systems and Management 199
  • Communication 184
  • Health Informatics 29
  • Health Information Management 79
  • Management Information Systems 143
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Fay Cobb Payton United States
Nancy K. Lankton United States
Gaurav Bansal United States
Polyxeni Vassilakopoulou Norway
Roger Slack United Kingdom
Kim South Korea
Tracy Ann Sykes United States
Reima Suomi Finland
David G. Schwartz Israel
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Countries citing papers authored by Aaron Baird

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts
Hit paper breakdown →
2021254
2 2019123
3 2013115
4 2019114
5 2019111
6 201347
7 201245
8 201141
9 201839
10 202136
11 201732
12
Planning and Sprinting: Use of a Hybrid Project Management Methodology within a CIS Capstone Course
201230
13 202225
14 201923
15 201823
16 201418
17 202218
18
Rate and classification of interval cancers in the breast screening programme.
199716
19 201615
20 201915

About Aaron Baird

Aaron Baird is a scholar working on Sociology and Political Science, Health Information Management, Strategy and Management, Management Information Systems and Information Systems, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (7 papers), Big Data and Business Intelligence (6 papers), Service and Product Innovation (6 papers), Technology Adoption and User Behaviour (5 papers), Knowledge Management and Sharing (4 papers), Expert finding and Q&A systems (4 papers), Digital Marketing and Social Media (4 papers) and Business Strategy and Innovation (3 papers). The work is most often cited by research in Information Systems and Management (199 citations), Communication (184 citations), Health Informatics (29 citations), Health Information Management (79 citations) and Management Information Systems (143 citations). Aaron Baird has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Detmar W. Straub, Langtao Chen, Likoebe M. Maruping, T. S. Raghu, Arun Rai, Liwei Chen, Elizabeth Davidson, Lars Mathiassen, Yusen Xia and Michael F. Furukawa. Their work appears in journals such as Journal of the Association for Information Systems, Decision Support Systems, Journal of Management Information Systems, Information and Organization and Journal of Information Technology & Politics.

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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