Mark Springett

440 citations
35 papers · 333 · h-index 9

Impact in

Papers in

Mark Springett

33 papers receiving 310 citations

Peers

Mark Springett
Comparison fields: 5 of 48
  • Human-Computer Interaction 169
  • Human Factors and Ergonomics 28
  • Demography 41
  • Computer Vision and Pattern Recognition 35
  • Information Systems 36
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Homa Javahery Canada
Thomas Mahatody Madagascar
Mouldi Sagar France
Jorge Abreu Portugal
Sanghyun Park South Korea
Margaux M. Price United States
Amber L. Lancaster United States
Ismayle de Sousa Santos Brazil
Reinhard Sefelin Austria
Niels Ebbe Jacobsen Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Mark Springett

Since Specialization
Citations

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

Fields of papers citing papers by Mark Springett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mark Springett, 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 Mark Springett Line = papers co-authored together Mark Springett 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 199782
2 200037
3 201424
4 201719
5 200715
6 201715
7 200714
8 201212
9
From user's problems to design errors: linking evaluation to improving design practice
19939
10 20199
11 20118
12 20248
13 20077
14
Assessing user experiences within interaction: experience as a qualitative state and experience as a causal event
20087
15 20097
16 20076
17 19985
18 20075
19 20165
20 20185

About Mark Springett

Mark Springett is a scholar working on Human-Computer Interaction, Human Factors and Ergonomics, Demography, Sociology and Political Science and Health Information Management, having authored 35 papers that have together received 333 indexed citations. Recurring topics across this work include Usability and User Interface Design (12 papers), Digital Accessibility for Disabilities (7 papers), Technology Use by Older Adults (6 papers), Privacy, Security, and Data Protection (5 papers), Innovative Human-Technology Interaction (4 papers), Multimedia Communication and Technology (3 papers), Multi-Agent Systems and Negotiation (3 papers) and Technology Adoption and User Behaviour (2 papers). The work is most often cited by research in Human-Computer Interaction (169 citations), Human Factors and Ergonomics (28 citations), Demography (41 citations), Computer Vision and Pattern Recognition (35 citations) and Information Systems (36 citations). Mark Springett has collaborated with scholars based in United Kingdom, North Macedonia and Austria. Frequent co-authors include Alistair Sutcliffe, Effie Lai‐Chong Law, Martin Mihajlov, Juan Carlos Augusto, Andrés Muñoz, Tim French, Kecheng Liu, Mark Rice, Penny Duquenoy and Stefan Oppl. Their work appears in journals such as Future Generation Computer Systems, Behaviour and Information Technology, ACM Transactions on Computer-Human Interaction, Interacting with Computers and Applied Artificial Intelligence.

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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