Maria Kyrarini

931 citations
46 papers · 574 indexed · 1 hit paper · h-index 13
Topics
Robot Manipulation and Learning (9 papers)Social Robot Interaction and HRI (8 papers)Gaze Tracking and Assistive Technology (5 papers)

In The Last Decade

Maria Kyrarini

38 papers receiving 555 citations

Hit Papers

A Survey of Robots in Healthcare2021202620222024202150100150200

Peers

Maria Kyrarini
Comparison fields: 5 of 87
  • Control and Systems Engineering 170
  • Computer Vision and Pattern Recognition 133
  • Biomedical Engineering 128
  • Social Psychology 123
  • Artificial Intelligence 121
Replace Maja Matarić with:
Maja Matarić United States
Rajibul Huq Canada
Noriaki Kuwahara Japan
Ester Martínez-Martín Spain
Annica Kristoffersson Sweden
Raffaele Limosani Italy
Marta Lorenzini Italy
Harish Ram Nambiappan United States
Sašo Koceski North Macedonia
Agostino De Santis Italy
Maria Kyrarini relative to Maja Matarić United States Maja Matarić's profile →
Citations per field
00.5×3.1×
Maja Matarić · 1×
Citations per year

Countries citing papers authored by Maria Kyrarini

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kyrarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kyrarini

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kyrarini. A scholar is included among the top collaborators of Maria Kyrarini 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 Maria Kyrarini. Maria Kyrarini 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 2
2 0
3 0
4 1
5 0
6 0
7 4
8 2
9 4
10 4
11 2
12
A Survey of Robots in Healthcarebreakdown →
208
13 3
14 15
15 7
16 24
17 16
18 16
19 14
20 2

About Maria Kyrarini

Maria Kyrarini is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 46 papers that have together received 574 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Social Robot Interaction and HRI (8 papers) and Gaze Tracking and Assistive Technology (5 papers). The work is most often cited by research in Human-Computer Interaction (92 citations), Health Informatics (14 citations) and Control and Systems Engineering (170 citations). Maria Kyrarini has collaborated with scholars based in United States, Germany and Pakistan. Frequent co-authors include Axel Gräser, Fillia Makedon, Danijela Ristić–Durrant, Harish Ram Nambiappan, Akilesh Rajavenkatanarayanan, Ashwin Ramesh Babu, Christos Sevastopoulos, Fotios Lygerakis, Xingchen Wang and Shuo Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Instrumentation and Measurement and Applied Sciences.

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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