Mary Ellen Foster

92 papers receiving 1.1k citations

Peers

Mary Ellen Foster
Comparison fields: 5 of 100
  • Artificial Intelligence 688
  • Social Psychology 515
  • Cognitive Neuroscience 209
  • Control and Systems Engineering 160
  • Computer Vision and Pattern Recognition 139
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Rosemarijn Looije Netherlands
Aditi Ramachandran United States
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Citations per field
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Citations per year

Countries citing papers authored by Mary Ellen Foster

Since Specialization
Citations

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

Fields of papers citing papers by Mary Ellen Foster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ellen Foster. 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 Mary Ellen Foster. The network helps show where Mary Ellen Foster may publish in the future.

Co-authorship network of co-authors of Mary Ellen Foster

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ellen Foster. A scholar is included among the top collaborators of Mary Ellen Foster 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 Mary Ellen Foster. Mary Ellen Foster 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 9
4 8
5 7
6
Using General-Purpose Planning for Action Selection in Human-Robot Interaction
6
7 18
8 1
9
Let's Go for a Treasure Hunt
1
10
Training and evaluation of an MDP model for social multi-user human-robot interaction
22
11
What would you like to drink? Recognising and planning with social states in a robot bartender domain
10
12
Situated reference in a hybrid human-robot interaction system
10
13
Referring and gaze alignment: accessibility is alive and well in situated dialogue
9
14
Combining goal inference and natural-language dialogue for human-robot joint action
7
15
Asynchronous Training in Pharmaceutical Manufacturing: A Model for University and Industrial Collaboration
1
16
IN PROCEEDINGS OF EACL-2006
36
17
Data-Driven Generation of Emphatic Facial Displays
17
18
Symmetrical Joint Action in Human-Robot Dialogue
1
19
PROCEEDINGS OF HCI INTERNATIONAL 2005, LAS VEGAS
9
20
Generating Tailored, Comparative Descriptions in Spoken Dialogue
30

About Mary Ellen Foster

Mary Ellen Foster is a scholar working on Social Psychology, Artificial Intelligence and Human-Computer Interaction, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (53 papers), Speech and dialogue systems (40 papers) and AI in Service Interactions (22 papers). The work is most often cited by research in Social Psychology (515 citations), Human-Computer Interaction (125 citations) and Artificial Intelligence (688 citations). Mary Ellen Foster has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Manuel Giuliani, Jon Oberlander, Andre Gaschler, Ronald P. A. Petrick, Oliver Lemon, Alois Knoll, Amy Isard, Michael White, Stephen W. Rouhana and Robin L. Hill. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, SAE technical papers on CD-ROM/SAE technical paper series and Spectrochimica Acta Part B Atomic Spectroscopy.

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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