David E. Millard

131 papers receiving 1.2k citations

Peers

David E. Millard
Comparison fields: 5 of 103
  • Human-Computer Interaction 156
  • Computer Science Applications 143
  • Communication 138
  • Information Systems 429
  • Artificial Intelligence 607
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Ralf Klamma Germany
Wai‐Tat Fu United States
Wayne G. Lutters United States
Al Mamunur Rashid United States
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Countries citing papers authored by David E. Millard

Since Specialization
Citations

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

Fields of papers citing papers by David E. Millard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Millard. 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 David E. Millard. The network helps show where David E. Millard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003286
2 199795
3 199943
4 201343
5 200638
6
Artequakt: Generating Tailored Biographies from Automatically Annotated Fragments from the Web
200238
7
A Framework for Semantic Group Formation in Education
200933
8 199933
9 201330
10 200828
11 200528
12
Automatic extraction of knowledge from web documents
200324
13 200223
14 200222
15 201622
16 201821
17 202020
18 200120
19 201420
20 200720

About David E. Millard

David E. Millard is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 147 papers that have together received 1.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (37 papers), Multimedia Communication and Technology (19 papers), Digital Games and Media (18 papers), Open Education and E-Learning (16 papers), Service-Oriented Architecture and Web Services (14 papers), Usability and User Interface Design (14 papers), Innovative Human-Technology Interaction (13 papers) and Artificial Intelligence in Games (11 papers). The work is most often cited by research in Human-Computer Interaction (156 citations), Computer Science Applications (143 citations), Communication (138 citations), Information Systems (429 citations) and Artificial Intelligence (607 citations). David E. Millard has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mark Weal, Hugh Davis, Wendy Hall, N. R. Shadbolt, Sanghee Kim, Paul Lewis, Harith Alani, Peng Chai, Charlie Hargood and Asma Ounnas. Their work appears in journals such as New Review of Hypermedia and Multimedia, Assessment & Evaluation in Higher Education, ACM Transactions on Information Systems, PLoS Biology 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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