Donald McMillan

2.0k citations
85 papers · 1.2k indexed · 1 hit paper · h-index 19

Donald McMillan

75 papers receiving 1.2k citations

Hit Papers

Feminist Human-Robot Interaction20232026202420252023204060

Peers

Donald McMillan
Comparison fields: 5 of 127
  • Human-Computer Interaction 415
  • Oncology 220
  • Artificial Intelligence 195
  • Sociology and Political Science 175
  • Social Psychology 164
Replace Teresa L. Roberts with:
Teresa L. Roberts United States
Michelle M. Neumann Australia
Seyoung Lee South Korea
Robert Wilensky United States
Xiaoqing Gu China
Jieun Yu South Korea
Shu‐Ling Wang Taiwan
Jennifer King United States
Chia‐Wen Tsai Taiwan
Hao‐Chuan Wang Taiwan
Donald McMillan relative to Teresa L. Roberts United States Teresa L. Roberts's profile →
Citations per field
00.5×10×15×19.9×
Teresa L. Roberts · 1×
Citations per year

Countries citing papers authored by Donald McMillan

Since Specialization
Citations

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

Fields of papers citing papers by Donald McMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald McMillan

This figure shows the co-authorship network connecting the top 25 collaborators of Donald McMillan. A scholar is included among the top collaborators of Donald McMillan 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 Donald McMillan. Donald McMillan 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 2
2 2
3 1
4 1
5 0
6 1
7 1
8 0
9 4
10 17
11 3
12 9
13 2
14 7
15 2
16 7
17 5
18 12
19 7
20 14

About Donald McMillan

Donald McMillan is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Science Applications, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (23 papers), AI in Service Interactions (13 papers) and Speech and dialogue systems (12 papers). The work is most often cited by research in Human-Computer Interaction (415 citations), Computer Science Applications (82 citations) and Information Systems and Management (90 citations). Donald McMillan has collaborated with scholars based in United Kingdom, Sweden and Denmark. Frequent co-authors include Barry Brown, Airi Lampinen, Moira McGregor, Joanne Edwards, James H. Park, Antonia K. Roseweir, Alistair Morrison, Matthew Chalmers, Paul G. Horgan and Iolanda Leite. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

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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