Aaron Read

545 citations
16 papers · 368 · h-index 7

Impact in

Papers in

Aaron Read

16 papers receiving 333 citations

Peers

Aaron Read
Comparison fields: 5 of 59
  • Information Systems and Management 192
  • Organizational Behavior and Human Resource Management 103
  • Communication 51
  • Marketing 64
  • Sociology and Political Science 220
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Read

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Aaron Read, 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 Read Line = papers co-authored together Aaron Read links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2008274
2 201320
3 201315
4 200213
5 201213
6
Studying the Adoption of Collaborative Work Practices Using the Value Frequency Model
20086
7 20146
8 20105
9 20124
10 20113
11 20083
12
Exploring the Effects of a Convergance Intervention on Ideation Artifacts: A Multi-Group Field Study
20092
13
Describing Agile Requirements Development and Communication using Complex Adaptive Systems Theory
20121
14
Generating User Stories in Groups with Prompts
20111
15 20091
16 20151

About Aaron Read

Aaron Read is a scholar working on Social Psychology, Information Systems, Sociology and Political Science, Communication and Information Systems and Management, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Team Dynamics and Performance (5 papers), Software Engineering Techniques and Practices (5 papers), Technology Adoption and User Behaviour (3 papers), Software Engineering Research (3 papers), Knowledge Management and Sharing (3 papers), Customer Service Quality and Loyalty (2 papers), Open Source Software Innovations (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Information Systems and Management (192 citations), Organizational Behavior and Human Resource Management (103 citations), Communication (51 citations), Marketing (64 citations) and Sociology and Political Science (220 citations). Aaron Read has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Greg Moody, Paul Benjamin Lowry, Anthony Vance, Robert O. Briggs, Aaron M. French, Gert‐Jan de Vreede, Douglas C. Derrick, T. Chen, Charles W. Anderson and Gina Scott Ligon. Their work appears in journals such as Journal of the Association for Information Systems, Behaviour and Information Technology, Lecture notes in computer science, The HKU Scholars Hub (University of Hong Kong) and RePEc: Research Papers in Economics.

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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