Liam Peyton

95 papers receiving 1.1k citations

Peers

Liam Peyton
Comparison fields: 5 of 87
  • Management Information Systems 410
  • Software 153
  • Health Information Management 143
  • Information Systems 615
  • Artificial Intelligence 458
Replace Fergal Mc Caffery with:
Fergal Mc Caffery Ireland
Annette ten Teije Netherlands
Jane B. Grimson Ireland
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Evandro De Barros Costa Brazil
Pieter M. E. Van Gorp Netherlands
Mohd Naz’ri Mahrin Malaysia
Sepideh Ghanavati United States
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Citations per field
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Citations per year

Countries citing papers authored by Liam Peyton

Since Specialization
Citations

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

Fields of papers citing papers by Liam Peyton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010189
2 2009106
3 2007105
4 200959
5 201148
6 201145
7 201540
8 201139
9 200932
10 201129
11 201025
12 200824
13 201621
14
A Requirements Management Framework for Privacy Compliance.
200719
15 201218
16 201618
17 200818
18 201515
19 200715
20
Personal Health Information Leak Prevention in Heterogeneous Texts
200914

About Liam Peyton

Liam Peyton is a scholar working on Health Information Management, Management Information Systems, Information Systems, Management Science and Operations Research and Software, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (30 papers), Electronic Health Records Systems (29 papers), Service-Oriented Architecture and Web Services (24 papers), Data Quality and Management (19 papers), Advanced Software Engineering Methodologies (9 papers), Privacy-Preserving Technologies in Data (9 papers), Access Control and Trust (8 papers) and Software Engineering Techniques and Practices (8 papers). The work is most often cited by research in Management Information Systems (410 citations), Software (153 citations), Health Information Management (143 citations), Information Systems (615 citations) and Artificial Intelligence (458 citations). Liam Peyton has collaborated with scholars based in Canada, United States and Jordan. Frequent co-authors include Daniel J. Amyot, Sepideh Ghanavati, Craig E. Kuziemsky, Gunter Mussbacher, Eric S. K. Yu, Jennifer Horkoff, Alan John Forster, Pengfei Chen, Michael A. Weiss and Alireza Pourshahid. Their work appears in journals such as Information Systems Frontiers, Journal of the American Medical Informatics Association, International Journal on Software Tools for Technology Transfer, Electronic Commerce Research and International Journal of Business Process Integration and Management.

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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