David E. Millard

166 papers receiving 1.8k citations

Peers

David E. Millard
Comparison fields: 5 of 107
  • Human-Computer Interaction 233
  • Computer Science Applications 205
  • Artificial Intelligence 905
  • Information Systems 607
  • Communication 179
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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 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003356
2 1997101
3 199961
4
Artequakt: Generating Tailored Biographies from Automatically Annotated Fragments from the Web
200258
5
A Framework for Semantic Group Formation in Education
200949
6 201348
7 200646
8 199941
9 200840
10 200238
11 201337
12 200533
13
Automatic extraction of knowledge from web documents
200332
14 201731
15 201431
16 201631
17 201830
18
OntoMedia: An Ontology for the Representation of Heterogeneous Media
200529
19 200227
20 200725

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 183 papers that have together received 2.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (42 papers), Digital Games and Media (33 papers), Artificial Intelligence in Games (24 papers), Multimedia Communication and Technology (23 papers), Open Education and E-Learning (17 papers), Usability and User Interface Design (16 papers), Service-Oriented Architecture and Web Services (15 papers) and Innovative Human-Technology Interaction (14 papers). The work is most often cited by research in Human-Computer Interaction (233 citations), Computer Science Applications (205 citations), Artificial Intelligence (905 citations), Information Systems (607 citations) and Communication (179 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, Charlie Hargood, Sanghee Kim, Paul Lewis, Harith Alani, Peng Chai and Asma Ounnas. Their work appears in journals such as New Review of Hypermedia and Multimedia, Lecture notes in computer science, IEEE Intelligent Systems, Journal of Network and Computer Applications and Digital Journalism.

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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