Will Simm
Impact in
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction
- Computer Science Applications top 10%
- Open Source Software Innovations
Papers in
-
- Innovative Human-Technology Interaction 11
- Co-authors
- Maria Angela Ferrario (15 shared papers)Jon Whittle (14 shared papers)Stephen Forshaw (7 shared papers)Adrian Gradinar (4 shared papers)Peter Newman (4 shared papers)Ian Smith (3 shared papers)Waqar Hussain (1 shared paper)Adrian Friday (3 shared papers)
- Journals
- Interacting with Computers (1 paper)Technological Forecasting and Social Change (1 paper)Discourse Context & Media (1 paper)IEEE Software (1 paper)Environmental Modelling & Software (1 paper)
- Partner nations
- United KingdomAustraliaAustria
In The Last Decade
Will Simm
19 papers receiving 427 citations
Peers
Comparison fields: 5 of 93
- Human-Computer Interaction 155
- Computer Science Applications 47
- Applied Psychology 33
- Management of Technology and Innovation 46
- Information Systems and Management 33
Countries citing papers authored by Will Simm
This map shows the geographic impact of Will Simm'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 Will Simm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Simm more than expected).
Fields of papers citing papers by Will Simm
This network shows the impact of papers produced by Will Simm. 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 Will Simm. The network helps show where Will Simm may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Simm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2014 | 56 | |
| 3 | 2019 | 46 | |
| 4 | 2015 | 44 | |
| 5 | 2019 | 35 | |
| 6 | 2014 | 32 | |
| 7 | 2016 | 31 | |
| 8 | 2014 | 21 | |
| 9 | 2013 | 20 | |
| 10 | 2015 | 20 | |
| 11 | 2017 | 17 | |
| 12 | 2017 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2017 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2010 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2021 | 0 |
About Will Simm
Will Simm is a scholar working on Human-Computer Interaction, Information Systems, Management of Technology and Innovation, Artificial Intelligence and Sociology and Political Science, having authored 20 papers that have together received 440 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (11 papers), Innovative Approaches in Technology and Social Development (4 papers), Green IT and Sustainability (3 papers), Technology Use by Older Adults (3 papers), Information Systems Theories and Implementation (2 papers), Autism Spectrum Disorder Research (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Human-Computer Interaction (155 citations), Computer Science Applications (47 citations), Applied Psychology (33 citations), Management of Technology and Innovation (46 citations) and Information Systems and Management (33 citations). Will Simm has collaborated with scholars based in United Kingdom, Australia and Austria. Frequent co-authors include Maria Angela Ferrario, Jon Whittle, Stephen Forshaw, Adrian Gradinar, Peter Newman, Ian Smith, Waqar Hussain, Adrian Friday, Mike Hazas and Alan Dix. Their work appears in journals such as Interacting with Computers, Technological Forecasting and Social Change, Discourse Context & Media, IEEE Software and Environmental Modelling & Software.
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.