Peter Kinnaird

526 citations
15 papers · 394 · h-index 8

Impact in

Papers in

Peter Kinnaird

15 papers receiving 380 citations

Peers

Peter Kinnaird
Comparison fields: 5 of 70
  • Computer Science Applications 76
  • Communication 62
  • Computer Networks and Communications 132
  • Human-Computer Interaction 25
  • Electrical and Electronic Engineering 190
Replace Neeti Gupta with:
Neeti Gupta India
Mark Melenhorst Netherlands
Anupam Jain India
Teresa A. Dahlberg United States
Norliza Katuk Malaysia
Lydia Lau United Kingdom
Amro Al-Akkad Germany
Mazeyanti Mohd Ariffin Malaysia
Dimitrios Koukopoulos Greece
Teresa Onorati Spain
Peter Kinnaird relative to Neeti Gupta India Neeti Gupta's profile →
Citations per field
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Neeti Gupta · 1×
Citations per year

Countries citing papers authored by Peter Kinnaird

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kinnaird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016216
2 201274
3 201422
4 201319
5 201013
6 201212
7 201310
8 20117
9 20116
10 20145
11 20144
12
Domestic Energy Displays: An Empirical Investigation
20102
13
Focus Groups for Functional InfoVis Prototype Evaluation : A Case Study
20102
14 20121
15 20121

About Peter Kinnaird

Peter Kinnaird is a scholar working on Communication, Molecular Biology, Computer Science Applications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 394 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genetic Associations and Epidemiology (3 papers), Social Media and Politics (3 papers), Personal Information Management and User Behavior (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Open Source Software Innovations (2 papers) and Innovative Human-Technology Interaction (2 papers). The work is most often cited by research in Computer Science Applications (76 citations), Communication (62 citations), Computer Networks and Communications (132 citations), Human-Computer Interaction (25 citations) and Electrical and Electronic Engineering (190 citations). Peter Kinnaird has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Hadi Larijani, Andrew Wixted, Ali Ahmadinia, Alan R. Tait, Laura Dabbish, Sara Kiesler, Ruogu Kang, Gregory D. Abowd, James D. Herbsleb and Mario Romero. Their work appears in journals such as interactions, BMC Bioinformatics, PLoS ONE, Proceedings of the International AAAI Conference on Web and Social Media and KTH Publication Database DiVA (KTH Royal Institute of Technology).

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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