Connor Graham

1.1k citations
35 papers · 810 · h-index 13

Impact in

Papers in

Connor Graham

35 papers receiving 722 citations

Peers

Connor Graham
Comparison fields: 5 of 120
  • Human-Computer Interaction 417
  • Information Systems and Management 91
  • Management of Technology and Innovation 72
  • Computer Science Applications 45
  • Computer Vision and Pattern Recognition 127
Replace Terry Hemmings with:
Terry Hemmings United Kingdom
Derek Flood Ireland
William R. Hazlewood United States
Joseph S. Dumas United States
Jenny Persson Sweden
Bengt Göransson Sweden
Jakob Nielsen United States
Stefan Blomkvist Sweden
Inger Boivie Sweden
Babak A. Farshchian Norway
Connor Graham relative to Terry Hemmings United Kingdom Terry Hemmings's profile →
Citations per field
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Citations per year

Countries citing papers authored by Connor Graham

Since Specialization
Citations

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

Fields of papers citing papers by Connor Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003290
2 197999
3 200794
4 200758
5 200829
6 200726
7 201023
8 200323
9 200623
10 201121
11 201915
12 200915
13 197713
14 201912
15 20109
16 20038
17 20056
18 20076
19 20056
20 20105

About Connor Graham

Connor Graham is a scholar working on Human-Computer Interaction, Information Systems, Sociology and Political Science, Information Systems and Management and Demography, having authored 35 papers that have together received 810 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (18 papers), Usability and User Interface Design (10 papers), ICT in Developing Communities (8 papers), Persona Design and Applications (4 papers), Multi-Agent Systems and Negotiation (3 papers), Information Systems Theories and Implementation (3 papers), Technology Use by Older Adults (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Human-Computer Interaction (417 citations), Information Systems and Management (91 citations), Management of Technology and Innovation (72 citations), Computer Science Applications (45 citations) and Computer Vision and Pattern Recognition (127 citations). Connor Graham has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include Jesper Kjeldskov, Mark Rouncefield, Keith Cheverst, Frank Vetere, Martin Gibbs, Dan Fitton, J. Stuart Soeldner, Christine Satchell, R E Gleason and Richard Cole. Their work appears in journals such as Personal and Ubiquitous Computing, Diabetologia, Journal of the Association for Information Systems, Diabetes and Human-Computer Interaction.

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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