Patrick Gebhard

86 papers receiving 1.6k citations

Peers

Patrick Gebhard
Comparison fields: 5 of 66
  • Human-Computer Interaction 268
  • Social Psychology 745
  • Experimental and Cognitive Psychology 417
  • Artificial Intelligence 646
  • Applied Psychology 35
Replace Tobias Baur with:
Tobias Baur Germany
Magalie Ochs France
Berardina Nadja De Carolis Italy
João Dias Portugal
Yukiko Nakano Japan
Rana el Kaliouby United States
Carlos Martinho Portugal
Alonso H. Vera United States
Ionuț Damian Germany
Hannes Högni Vilhjálmsson Iceland
Patrick Gebhard relative to Tobias Baur Germany Tobias Baur's profile →
Citations per field
00.5×1.7×
Tobias Baur · 1×
Citations per year

Countries citing papers authored by Patrick Gebhard

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Gebhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005308
2 2000155
3 2013122
4 201461
5 201158
6 200355
7 201352
8 201645
9 200841
10 201837
11 200436
12 201534
13 200831
14 202231
15 201528
16 200627
17
Exploring interaction strategies for virtual characters to induce stress in simulated job interviews
201827
18 200325
19 200324
20 200624

About Patrick Gebhard

Patrick Gebhard is a scholar working on Social Psychology, Human-Computer Interaction, Experimental and Cognitive Psychology, Artificial Intelligence and Applied Psychology, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (52 papers), Emotion and Mood Recognition (24 papers), Speech and dialogue systems (17 papers), Virtual Reality Applications and Impacts (13 papers), Interactive and Immersive Displays (13 papers), Artificial Intelligence in Games (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Innovative Human-Technology Interaction (5 papers). The work is most often cited by research in Human-Computer Interaction (268 citations), Social Psychology (745 citations), Experimental and Cognitive Psychology (417 citations), Artificial Intelligence (646 citations) and Applied Psychology (35 citations). Patrick Gebhard has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include Elisabeth André, Michael Kipp, Martin Klesen, Thomas Rist, Tobias Baur, Ionuț Damian, Markus Langer, Kaśka Porayska‐Pomsta, Kerstin H. Kipp and Cornelius J. König. Their work appears in journals such as Lecture notes in computer science, ACM Transactions on Interactive Intelligent Systems, IEEE Transactions on Affective Computing, Frontiers in Psychiatry and Human Factors and Ergonomics in Manufacturing & Service Industries.

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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