Liam Peyton

82 papers receiving 784 citations

Peers

Liam Peyton
Comparison fields: 5 of 81
  • Health Information Management 117
  • Software 100
  • Management Information Systems 232
  • Information Systems 402
  • Artificial Intelligence 308
Replace Evandro Costa with:
Evandro Costa Brazil
Andrew Blyth United Kingdom
Annette ten Teije Netherlands
Jane Grimson Ireland
Mohammad Zarour Saudi Arabia
Henrik Eriksson Sweden
Philip Achimugu Nigeria
Fergal McCaffery Ireland
Fethi Rabhi Australia
Pieter Van Gorp Netherlands
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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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010144
2 200969
3 201141
4 201134
5 200933
6 201131
7 201530
8 200924
9 201023
10 200823
11 201121
12 201616
13 201215
14 201615
15 200814
16
Personal Health Information Leak Prevention in Heterogeneous Texts
200913
17 201713
18 200412
19 201012
20 202011

About Liam Peyton

Liam Peyton is a scholar working on Information Systems, Management Information Systems, Health Information Management, Artificial Intelligence and Management Science and Operations Research, having authored 87 papers that have together received 833 indexed citations. Recurring topics across this work include Electronic Health Records Systems (23 papers), Business Process Modeling and Analysis (21 papers), Service-Oriented Architecture and Web Services (18 papers), Data Quality and Management (17 papers), Privacy-Preserving Technologies in Data (10 papers), Software Engineering Techniques and Practices (8 papers), Access Control and Trust (8 papers) and Advanced Software Engineering Methodologies (7 papers). The work is most often cited by research in Health Information Management (117 citations), Software (100 citations), Management Information Systems (232 citations), Information Systems (402 citations) and Artificial Intelligence (308 citations). Liam Peyton has collaborated with scholars based in Canada, United States and Jordan. Frequent co-authors include Sepideh Ghanavati, Daniel Amyot, Craig Kuziemsky, Eric Yu, Jennifer Horkoff, Gunter Mussbacher, Bernard Stépien, Alireza Pourshahid, Alan J. Forster and Pengfei Chen. Their work appears in journals such as Journal of the American Medical Informatics Association, Information Systems Frontiers, International Journal on Software Tools for Technology Transfer, International journal of engineering education and PLoS ONE.

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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