John Halloran

737 citations
46 papers · 533 · h-index 14

Impact in

Papers in

    • Usability and User Interface Design 6
    • Innovative Human-Technology Interaction 4
    • Software Engineering Research 4
    • Mobile Learning in Education 4
    • Software Engineering Techniques and Practices 3

John Halloran

43 papers receiving 488 citations

Peers

John Halloran
Comparison fields: 5 of 101
  • Human-Computer Interaction 227
  • Computer Science Applications 46
  • Management of Technology and Innovation 45
  • Information Systems and Management 39
  • Internal Medicine 14
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Citations per field
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Citations per year

Countries citing papers authored by John Halloran

Since Specialization
Citations

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

Fields of papers citing papers by John Halloran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Halloran, 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 John Halloran Line = papers co-authored together John Halloran 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 200363
2 200955
3 200639
4 200632
5 200431
6 200629
7
Let's Work Together: Supporting Two-Party Collaborations with New Forms of Shared Interactive Representations.
200223
8 200622
9
Contrast MR of the brain after high-perfusion cardiopulmonary bypass.
199420
10 199418
11 200317
12 200417
13 199116
14 200213
15 201511
16 200410
17 20179
18 20129
19 20068
20 20037

About John Halloran

John Halloran is a scholar working on Human-Computer Interaction, Information Systems, Computer Science Applications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 533 indexed citations. Recurring topics across this work include Usability and User Interface Design (6 papers), Software Engineering Research (4 papers), Innovative Human-Technology Interaction (4 papers), Teaching and Learning Programming (4 papers), Digital Games and Media (4 papers), Mobile Learning in Education (4 papers), Open Source Software Innovations (3 papers) and Software Engineering Techniques and Practices (3 papers). The work is most often cited by research in Human-Computer Interaction (227 citations), Computer Science Applications (46 citations), Management of Technology and Innovation (45 citations), Information Systems and Management (39 citations) and Internal Medicine (14 citations). John Halloran has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Yvonne Rogers, Eva Hornecker, Geraldine Fitzpatrick, Mark Weal, Tom Rodden, David De Roure, Ian Taylor, David E. Millard, Don Cruickshank and Eric Harris. Their work appears in journals such as Journal of X-Ray Science and Technology, American Journal of Neuroradiology, Journal of Neuroimaging, New Review of Information Networking and Enterprise Information 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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