Kyra Kapsaskis

439 total citations
8 papers, 202 citations indexed

About

Kyra Kapsaskis is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kyra Kapsaskis has authored 8 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Kyra Kapsaskis's work include Human Pose and Action Recognition (4 papers), Social Robot Interaction and HRI (2 papers) and Cultural Differences and Values (2 papers). Kyra Kapsaskis is often cited by papers focused on Human Pose and Action Recognition (4 papers), Social Robot Interaction and HRI (2 papers) and Cultural Differences and Values (2 papers). Kyra Kapsaskis collaborates with scholars based in United States and Germany. Kyra Kapsaskis's co-authors include Kurt Gray, Yochanan Bigman, Frank Kachanoff, Tanmay Randhavane, Dinesh Manocha, Aniket Bera, Eva Wiese, Patrick P. Weis, Uttaran Bhattacharya and Karen-Ann Gray and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Social Psychological and Personality Science and International Journal of Social Robotics.

In The Last Decade

Kyra Kapsaskis

8 papers receiving 197 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kyra Kapsaskis United States	6	81	72	60	60	24	8	202
Gunn Astrid Baugerud Norway	13	91 1.1×	47 0.7×	152 2.5×	83 1.4×	10 0.4×	35	360
Sarah Fabi Germany	5	62 0.8×	33 0.5×	31 0.5×	69 1.1×	32 1.3×	7	218
Jukka Vahlo Finland	8	35 0.4×	143 2.0×	37 0.6×	21 0.3×	31 1.3×	24	237
Anindita Ghosh India	11	60 0.7×	41 0.6×	54 0.9×	10 0.2×	10 0.4×	35	341
Lara Christoforakos Germany	6	89 1.1×	49 0.7×	40 0.7×	18 0.3×	19 0.8×	15	219
Andrew M. Demetriou Netherlands	7	39 0.5×	80 1.1×	31 0.5×	33 0.6×	19 0.8×	13	208
Mustafa Can Gursesli Italy	9	29 0.4×	89 1.2×	55 0.9×	28 0.5×	31 1.3×	31	203
Dany Lussier‐Desrochers Canada	8	24 0.3×	46 0.6×	19 0.3×	58 1.0×	18 0.8×	26	277
Céline Clavel France	9	76 0.9×	23 0.3×	15 0.3×	62 1.0×	54 2.3×	40	229

Countries citing papers authored by Kyra Kapsaskis

Since Specialization

Citations

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

Fields of papers citing papers by Kyra Kapsaskis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyra Kapsaskis

This figure shows the co-authorship network connecting the top 25 collaborators of Kyra Kapsaskis. A scholar is included among the top collaborators of Kyra Kapsaskis 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 Kyra Kapsaskis. Kyra Kapsaskis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Randhavane, Tanmay, Uttaran Bhattacharya, Kyra Kapsaskis, et al.. (2022). Learning Gait Emotions Using Affective and Deep Features. 1–10. 5 indexed citations

2.

Wiese, Eva, Patrick P. Weis, Yochanan Bigman, Kyra Kapsaskis, & Kurt Gray. (2021). It’s a Match: Task Assignment in Human–Robot Collaboration Depends on Mind Perception. International Journal of Social Robotics. 14(1). 141–148. 30 indexed citations

3.

Kachanoff, Frank, Yochanan Bigman, Kyra Kapsaskis, & Kurt Gray. (2020). Measuring Realistic and Symbolic Threats of COVID-19 and Their Unique Impacts on Well-Being and Adherence to Public Health Behaviors. Social Psychological and Personality Science. 12(5). 603–616. 101 indexed citations

4.

Kachanoff, Frank, Yochanan Bigman, Kyra Kapsaskis, & Karen-Ann Gray. (2020). Measuring Realistic and Symbolic Threats of COVID- 19 and Their Unique Impacts on Well-Being and Adherence to Public Health Behaviors (Jul, 10.1177/1948550620931634, 2020). Social Psychological and Personality Science. 2–2. 2 indexed citations

5.

Kachanoff, Frank, Yochanan Bigman, Kyra Kapsaskis, & Kurt Gray. (2020). Measuring Realistic and Symbolic Threats of COVID-19 and Their Unique Impacts on Well-Being and Adherence to Public Health Behaviors. Sage Journals Data. 28 indexed citations

6.

Bera, Aniket, Tanmay Randhavane, Kyra Kapsaskis, et al.. (2020). How are you feeling? Multimodal Emotion Learning for Socially-Assistive Robot Navigation. 644–651. 7 indexed citations

7.

Randhavane, Tanmay, Aniket Bera, Kyra Kapsaskis, Kurt Gray, & Dinesh Manocha. (2019). FVA:Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics. IEEE Transactions on Visualization and Computer Graphics. 25(11). 3135–3145. 16 indexed citations

8.

Randhavane, Tanmay, Uttaran Bhattacharya, Kyra Kapsaskis, et al.. (2019). Learning Perceived Emotion Using Affective and Deep Features for Mental Health Applications. 395–399. 13 indexed citations

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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