Alison Burrows

977 citations
31 papers · 572 · h-index 13

Impact in

Papers in

Alison Burrows

31 papers receiving 541 citations

Peers

Alison Burrows
Comparison fields: 5 of 101
  • Human-Computer Interaction 59
  • Computer Vision and Pattern Recognition 129
  • Pharmacy 20
  • Computer Networks and Communications 107
  • Clinical Psychology 87
Replace Chelsea Dobbins with:
Chelsea Dobbins United Kingdom
Alberto Sanna Italy
Ana I. Martínez-Garcia Mexico
Benjamin Greenstein United States
Elena Vildjiounaite Finland
Valérie Gay Australia
Sten Hanke Austria
Helen Harris United States
Alfredo Goñi Spain
Tobias Sonne Denmark
Alison Burrows relative to Chelsea Dobbins United Kingdom Chelsea Dobbins's profile →
Citations per field
00.5×5.8×
Chelsea Dobbins · 1×
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 2015157
2 2002106
3 201840
4 201527
5
2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2017)
201723
6 201523
7 201620
8 199320
9 200519
10 198318
11 201617
12 201816
13 201312
14 201710
15 20168
16 20158
17 20187
18 20147
19 20165
20 20014

About Alison Burrows

Alison Burrows is a scholar working on Human-Computer Interaction, Demography, Computer Vision and Pattern Recognition, General Health Professions and Management of Technology and Innovation, having authored 31 papers that have together received 572 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), Persona Design and Applications (3 papers), Eating Disorders and Behaviors (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Human-Computer Interaction (59 citations), Computer Vision and Pattern Recognition (129 citations), Pharmacy (20 citations), Computer Networks and Communications (107 citations) and Clinical Psychology (87 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, Tom Diethe, Massimo Camplani, Lili Tao, Dritan Kaleshi and Ni Zhu. Their work appears in journals such as Journal of Advanced Nursing, BioMed Research International, Trials, IEEE Intelligent Systems and Assessment & Evaluation in Higher Education.

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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