David Pizzi

735 citations
16 papers · 234 · h-index 9

Impact in

Papers in

David Pizzi

15 papers receiving 226 citations

Peers

David Pizzi
Comparison fields: 5 of 50
  • Human-Computer Interaction 61
  • Artificial Intelligence 124
  • Computer Vision and Pattern Recognition 66
  • Developmental and Educational Psychology 29
  • Experimental and Cognitive Psychology 28
Replace Catherine Vaucelle with:
Catherine Vaucelle United States
Naoko Tosa Japan
Christopher Lee United States
Heidy Maldonado United States
Ben Kybartas Netherlands
Yuyu Xu United States
Lisa Campbell United States
Marco Vala Portugal
Casey Kennington United States
Christoffer Holmgård Denmark
David Pizzi relative to Catherine Vaucelle United States Catherine Vaucelle's profile →
Citations per field
00.5×1.5×2.5×
Catherine Vaucelle · 1×
Citations per year

Countries citing papers authored by David Pizzi

Since Specialization
Citations

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

Fields of papers citing papers by David Pizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside David Pizzi, 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 Pizzi Line = papers co-authored together David Pizzi links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200753
2 200952
3 201020
4 201016
5 201015
6
Affective storytelling based on characters' feelings
200714
7 201113
8 201412
9 20089
10 20078
11 20106
12
EmoEmma: emotional speech input for interactive storytelling
20095
13 20125
14 20123
15
Gaze behavior during interaction with a virtual character in interactive storytelling
20103
16 20190

About David Pizzi

David Pizzi is a scholar working on Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction, Computer Vision and Pattern Recognition and Social Psychology, having authored 16 papers that have together received 234 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (10 papers), Human Motion and Animation (7 papers), AI-based Problem Solving and Planning (5 papers), Virtual Reality Applications and Impacts (4 papers), Gaze Tracking and Assistive Technology (3 papers), Social Robot Interaction and HRI (3 papers), Digital Games and Media (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Artificial Intelligence (124 citations), Computer Vision and Pattern Recognition (66 citations), Developmental and Educational Psychology (29 citations) and Experimental and Cognitive Psychology (28 citations). David Pizzi has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Marc Cavazza, Fred Charles, Jean-Luc Lugrin, Elisabeth André, Thurid Vogt, Nikolaus Bee, Johannes Wagner, Julie Porteous, Sid Kouider and Luciano Gamberini. Their work appears in journals such as Cyberpsychology Behavior and Social Networking, IEEE Transactions on Computational Intelligence and AI in Games, PRESENCE Virtual and Augmented Reality, TeesRep (Teesside University) and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

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.

Explore authors with similar magnitude of impact