Guy Hoffman

5.8k citations
121 papers · 3.8k indexed · 1 hit paper · h-index 36

Guy Hoffman

114 papers receiving 3.6k citations

Hit Papers

Evaluating Fluency in Human–Robot Collaboration2019202620212023201950100150200250

Peers

Guy Hoffman
Comparison fields: 5 of 110
  • Social Psychology 2.4k
  • Artificial Intelligence 1.3k
  • Control and Systems Engineering 1.1k
  • Human-Computer Interaction 760
  • Cognitive Neuroscience 662
Replace Masahiro Shiomi with:
Masahiro Shiomi Japan
Leila Takayama United States
Dana Kulić Canada
Kheng Lee Koay United Kingdom
Michael L. Walters United Kingdom
Selma Šabanović United States
Wendy Ju United States
Stefan Kopp Germany
Holly A. Yanco United States
Aaron Steinfeld United States
Guy Hoffman relative to Masahiro Shiomi Japan Masahiro Shiomi's profile →
Citations per field
00.5×5.7×
Masahiro Shiomi · 1×
Citations per year

Countries citing papers authored by Guy Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Guy Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Hoffman. A scholar is included among the top collaborators of Guy Hoffman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guy Hoffman. Guy Hoffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 7
5 2
6 4
7 1
8 2
9 16
10 14
11
24
12 5
13
Evaluating Fluency in Human–Robot Collaborationbreakdown →
275
14 6
15
OpenWoZ: A Runtime-Configurable Wizard-of-Oz Framework for Human-Robot Interaction
12
16 20
17
Anticipatory perceptual simulation for human-robot joint practice: theory and application study
16
18
Effects of Anticipatory Action on Human-Robot Teamwork
8
19
What Lies Ahead? Expectation Management in Human-Robot Collaboration.
2
20
Robots that Work in Collaboration with People.
10

About Guy Hoffman

Guy Hoffman is a scholar working on Human-Computer Interaction, Social Psychology and Cognitive Neuroscience, having authored 121 papers that have together received 3.8k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (63 papers), Robot Manipulation and Learning (24 papers) and Action Observation and Synchronization (14 papers). The work is most often cited by research in Human-Computer Interaction (760 citations), Social Psychology (2.4k citations) and Control and Systems Engineering (1.1k citations). Guy Hoffman has collaborated with scholars based in United States, Israel and Portugal. Frequent co-authors include Cynthia Breazeal, Andrea L. Thomaz, Cory D. Kidd, Oren Zuckerman, Wendy Ju, Gil Weinberg, M. Berlin, Andrea Lockerd, Michal Luria and Yuhan Hu. Their work appears in journals such as Computers in Human Behavior, IEEE Transactions on Robotics and SAE technical papers on CD-ROM/SAE technical paper series.

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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