Fred Charles

2.5k citations
116 papers · 1.9k · h-index 24

Impact in

Papers in

Fred Charles

104 papers receiving 1.8k citations

Peers

Fred Charles
Comparison fields: 5 of 49
  • Artificial Intelligence 818
  • Human-Computer Interaction 115
  • Cognitive Neuroscience 117
  • Computer Graphics and Computer-Aided Design 16
  • Social Psychology 55
Replace Michael Kipp with:
Michael Kipp Germany
Sandy Louchart United Kingdom
Steve DiPaola Canada
Claude Frasson Canada
Vera Demberg Germany
Peter Anthony Heeman United States
Hannes Högni Vilhjálmsson Iceland
Matthew P. Aylett United Kingdom
Orazio Miglino Italy
William Schuler United States
Fred Charles relative to Michael Kipp Germany Michael Kipp's profile →
Citations per field
00.5×2×3×4.0×
Michael Kipp · 1×
Citations per year

Countries citing papers authored by Fred Charles

Since Specialization
Citations

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

Fields of papers citing papers by Fred Charles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002273
2 2002124
3 201097
4 200791
5 200969
6 200563
7 200261
8 200160
9
Planning formalisms and authoring in interactive storytelling
200354
10 201850
11 201241
12 200140
13 200739
14 201638
15 200436
16 201035
17 201333
18 201630
19 200429
20 200328

About Fred Charles

Fred Charles is a scholar working on Artificial Intelligence, Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (55 papers), EEG and Brain-Computer Interfaces (12 papers), Virtual Reality Applications and Impacts (6 papers), Speech and dialogue systems (3 papers), Data Visualization and Analytics (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Video Analysis and Summarization (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Artificial Intelligence (818 citations), Human-Computer Interaction (115 citations), Cognitive Neuroscience (117 citations), Computer Graphics and Computer-Aided Design (16 citations) and Social Psychology (55 citations). Fred Charles has collaborated with scholars based in United Kingdom, Israel and Germany. Frequent co-authors include Marc Cavazza, Steven J. Mead, Julie Porteous, David Pizzi, Jean-Luc Lugrin, Gábor Aranyi, Charlie Hargood, Elisabeth André, Thurid Vogt and Xavier Marichal. Their work appears in journals such as Lecture notes in computer science, The Electronic Library, IEEE Multimedia, Journal on Computing and Cultural Heritage and IEEE Intelligent Systems.

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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