Stephen Marsh

54 papers receiving 529 citations

Peers

Stephen Marsh
Comparison fields: 5 of 103
  • Health Informatics 11
  • Safety Research 52
  • Information Systems and Management 40
  • Information Systems 125
  • Artificial Intelligence 153
Replace Mohammad Maifi Hasan Khan with:
Mohammad Maifi Hasan Khan United States
Shih‐Yi Chien Taiwan
M. Birna van Riemsdijk Netherlands
David Biros United States
Rebecca Strachan United Kingdom
Prathamesh Churi India
B. Moon United States
Vania Dimitrova United Kingdom
Philipp Brauner Germany
Mahtab Ghazizadeh United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003135
2 200542
3 202135
4 201127
5 201718
6
Towards Quality of Experience in Advanced Collaborative Environments
200317
7 200417
8 202016
9 202116
10 197516
11 200015
12
Patriarchy in the UK: The Language of Disability
200214
13 201212
14 202112
15
The ACORN multi-agent system
200311
16 201311
17 202310
18
Agent augmented community-information: the ACORN architecture
19979
19
Optimism and Pessimism in Trust
19949
20 20167

About Stephen Marsh

Stephen Marsh is a scholar working on Sociology and Political Science, Information Systems, Artificial Intelligence, Human-Computer Interaction and Computer Networks and Communications, having authored 56 papers that have together received 567 indexed citations. Recurring topics across this work include Access Control and Trust (7 papers), Peer-to-Peer Network Technologies (6 papers), Innovative Human-Technology Interaction (6 papers), Personal Information Management and User Behavior (5 papers), Privacy-Preserving Technologies in Data (4 papers), User Authentication and Security Systems (4 papers), Ethics and Social Impacts of AI (3 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Health Informatics (11 citations), Safety Research (52 citations), Information Systems and Management (40 citations), Information Systems (125 citations) and Artificial Intelligence (153 citations). Stephen Marsh has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Mark Dibben, Peter R. Lewis, Zeinab Noorian, Michael W. Fleming, Jeremy Pitt, Ali A. Ghorbani, Bronwen McNoe, Timothy Driscoll, J Langley and Ann Williamson. Their work appears in journals such as IEEE Technology and Society Magazine, Patterns, Cognitive Systems Research, Injury Prevention and Autonomous Agents and Multi-Agent Systems.

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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