Stephen Reay

1.7k citations
64 papers · 1.1k indexed · 1 hit paper · h-index 18
Topics
Forest Insect Ecology and Management (16 papers)Persona Design and Applications (13 papers)Innovative Human-Technology Interaction (13 papers)
Journals
SHILAP Revista de lepidopterologíaFood Research InternationalForest Ecology and Management

In The Last Decade

Stephen Reay

59 papers receiving 1.1k citations

Hit Papers

Patients' perspectives on digital health tools20232026202420252023255075

Peers

Stephen Reay
Comparison fields: 5 of 148
  • Insect Science 375
  • Ecology 241
  • Plant Science 180
  • Molecular Biology 106
  • Automotive Engineering 104
Replace Hua Qin with:
Hua Qin United States
Paul R. Kinnear United Kingdom
Alexis Dinno United States
Michael J. Meitner Canada
Tony Craig United Kingdom
Benjamin Wolfe United States
Margherita Pasini Italy
Mikael Poul Johannesson Sweden
Tian Gao China
Stéphane Champely France
Stephen Reay relative to Hua Qin United States Hua Qin's profile →
Citations per field
00.5×10×13.3×
Hua Qin · 1×
Citations per year

Countries citing papers authored by Stephen Reay

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Reay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Reay

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Reay. A scholar is included among the top collaborators of Stephen Reay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Reay. Stephen Reay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Patients' perspectives on digital health toolsbreakdown →
77
2 5
3 1
4 1
5 32
6 4
7 37
8 11
9 14
10 85
11 29
12 5
13
Raising our game: creating new learning experiences with research collaborations
1
14 5
15 3
16 8
17 17
18 50
19 5
20 6

About Stephen Reay

Stephen Reay is a scholar working on Human-Computer Interaction, Insect Science and Management of Technology and Innovation, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Forest Insect Ecology and Management (16 papers), Persona Design and Applications (13 papers) and Innovative Human-Technology Interaction (13 papers). The work is most often cited by research in Insect Science (375 citations), Human-Computer Interaction (91 citations) and Ecology (241 citations). Stephen Reay has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Ivana Nakarada‐Kordic, T.L. Nelson, David A. Norton, Travis R. Glare, Michael Brownbridge, Patrick J. Walsh, Olaf Diegel, Sarat Singamneni, Samaneh Madanian and Nicholas Cummings. Their work appears in journals such as SHILAP Revista de lepidopterología, Food Research International and Forest Ecology and Management.

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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