Emmanuel Senft

1.5k citations
48 papers · 742 indexed · h-index 15

Impact in

Papers in

Emmanuel Senft

42 papers receiving 720 citations

Peers

Emmanuel Senft
Comparison fields: 5 of 84
  • Social Psychology 437
  • Human-Computer Interaction 77
  • Artificial Intelligence 358
  • Occupational Therapy 36
  • Computer Science Applications 42
Replace Elaine Schaertl Short with:
Elaine Schaertl Short United States
Rosemarijn Looije Netherlands
Rodolphe Gélin France
Justin Hart United States
Mary Ellen Foster United Kingdom
Juan Fasola United States
Paul Bremner United Kingdom
Wafa Johal Australia
I. Han Kuo New Zealand
Marta Díaz Boladeras Spain
Emmanuel Senft relative to Elaine Schaertl Short United States Elaine Schaertl Short's profile →
Citations per field
00.5×2.6×
Elaine Schaertl Short · 1×
Citations per year

Countries citing papers authored by Emmanuel Senft

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Senft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 202213
5 20211
6 202117
7 202025
8 202042
9 201911
10 20197
11 201824
12
Towards a SAR System for Personalized Cardiac Rehabilitation: A Patient with PCI
20181
13 201825
14
Robots in the classroom: Learning to be a Good Tutor
20182
15
Toward supervised reinforcement learning with partial states for social HRI
20171
16 20162
17 201689
18 20163
19 201611
20
Human-guided learning of social action selection for robot-assisted therapy
20158

About Emmanuel Senft

Emmanuel Senft is a scholar working on Social Psychology, Applied Psychology, Artificial Intelligence, Health Informatics and Computer Science Applications, having authored 48 papers that have together received 742 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (18 papers), Reinforcement Learning in Robotics (14 papers), Robot Manipulation and Learning (8 papers), AI in Service Interactions (7 papers), Digital Mental Health Interventions (5 papers), Speech and dialogue systems (4 papers), Autism Spectrum Disorder Research (4 papers) and Cognitive Functions and Memory (3 papers). The work is most often cited by research in Social Psychology (437 citations), Human-Computer Interaction (77 citations), Artificial Intelligence (358 citations), Occupational Therapy (36 citations) and Computer Science Applications (42 citations). Emmanuel Senft has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Tony Belpaeme, James Kennedy, Paul Baxter, Séverin Lemaignan, Bahar Irfan, Fotios Papadopoulos, Marcela Múnera, Carlos A. Cifuentes, Jonathan Casas and Nathalia Céspedes. Their work appears in journals such as Science Robotics, PLoS ONE, IEEE Transactions on Cognitive and Developmental Systems, Applied Ergonomics and IEEE Robotics and Automation Letters.

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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