Deborah Richards

274 papers receiving 2.6k citations

Deborah Richards's Hit Papers

AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context 2022 · 120 citations
1200+1+2Years since publication4080120

Peers

Deborah Richards
Comparison fields: 5 of 152
  • Human-Computer Interaction 405
  • Health Informatics 75
  • Applied Psychology 253
  • Computer Science Applications 279
  • Safety Research 186
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Countries citing papers authored by Deborah Richards

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Richards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015176
2
AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context
Hit paper breakdown →
2022120
3 2015113
4 201177
5 201270
6 202268
7 202163
8
Security and Privacy Issues Related to the Use of Mobile Health Apps
201458
9 201757
10 201545
11 201942
12 201740
13 202039
14 201438
15
An experience report on using DAML-S
200337
16 201836
17 201536
18 201735
19 201534
20
Collaborative learning : some possibilities and limitations for students and teachers
200633

About Deborah Richards

Deborah Richards is a scholar working on Artificial Intelligence, Social Psychology, Information Systems, Developmental and Educational Psychology and Human-Computer Interaction, having authored 293 papers that have together received 2.8k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (28 papers), Social Robot Interaction and HRI (27 papers), Semantic Web and Ontologies (25 papers), Online and Blended Learning (24 papers), AI in Service Interactions (24 papers), Multi-Agent Systems and Negotiation (21 papers), Educational Games and Gamification (18 papers) and Innovative Teaching and Learning Methods (18 papers). The work is most often cited by research in Human-Computer Interaction (405 citations), Health Informatics (75 citations), Applied Psychology (253 citations), Computer Science Applications (279 citations) and Safety Research (186 citations). Deborah Richards has collaborated with scholars based in Australia, Netherlands and China. Frequent co-authors include Ayse Bilgin, Patrina Caldwell, Paul Formosa, Peter Busch, Karen M. Scott, Sarah Bankins, Yannick Griep, Michael Hitchens, Chuanfu Chen and Virginia Dignum. Their work appears in journals such as Journal of the Association for Information Systems, Behaviour and Information Technology, Computers & Security, International Journal of Human-Computer Studies and Computers & 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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