Alison Burrows

972 citations
31 papers · 565 indexed · h-index 13

Impact in

Papers in

Alison Burrows

31 papers receiving 533 citations

Peers

Alison Burrows
Comparison fields: 5 of 102
  • Human-Computer Interaction 62
  • Pharmacy 37
  • Computer Vision and Pattern Recognition 132
  • Demography 61
  • Clinical Psychology 108
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Alberto Sanna Italy
Stephen Tang United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Alison Burrows

Since Specialization
Citations

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

Fields of papers citing papers by Alison Burrows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2 2002106
3 201839
4 201527
5
2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2017)
201723
6 201521
7 199320
8 201620
9 198319
10 200519
11 201617
12 201815
13 201312
14 20179
15 20168
16 20147
17 20157
18 20187
19 20154
20
Out-of-box experiences: an opportunity for inclusive design
20104

About Alison Burrows

Alison Burrows is a scholar working on Human-Computer Interaction, Demography, Management of Technology and Innovation, Computer Science Applications and Pharmacy, having authored 31 papers that have together received 565 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (11 papers), Technology Use by Older Adults (10 papers), Context-Aware Activity Recognition Systems (8 papers), Innovative Approaches in Technology and Social Development (5 papers), Mobile Health and mHealth Applications (4 papers), Eating Disorders and Behaviors (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Persona Design and Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (62 citations), Pharmacy (37 citations), Computer Vision and Pattern Recognition (132 citations), Demography (61 citations) and Clinical Psychology (108 citations). Alison Burrows has collaborated with scholars based in United Kingdom, Ireland and Germany. Frequent co-authors include Myra Cooper, Rachael Gooberman‐Hill, David Coyle, Ian Craddock, Niall Twomey, Massimo Camplani, Dritan Kaleshi, Tom Diethe, Majid Mirmehdi and Lili Tao. Their work appears in journals such as Health Expectations, IEEE Intelligent Systems, Journal of Advanced Nursing, Health & Place and Personal and Ubiquitous Computing.

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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