Cosmin Munteanu

130 papers receiving 2.4k citations

Cosmin Munteanu's Hit Papers

What Makes a Good Conversation? 2019 · 322 citations
3220+2+4Years since publication100200300

Peers

Cosmin Munteanu
Comparison fields: 5 of 103
  • Human-Computer Interaction 791
  • Neuropsychology and Physiological Psychology 85
  • Demography 476
  • Artificial Intelligence 1.1k
  • Applied Psychology 134
Replace Robin N. Brewer with:
Robin N. Brewer United States
Suleman Shahid Netherlands
Marcel Heerink Netherlands
Sonja Pedell Australia
Siân E. Lindley United Kingdom
Nadia Pantidi United Kingdom
Jason C Yip United States
Benjamin R. Cowan Ireland
Katie Seaborn Japan
Anja Thieme United Kingdom
Cosmin Munteanu relative to Robin N. Brewer United States Robin N. Brewer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cosmin Munteanu

Since Specialization
Citations

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

Fields of papers citing papers by Cosmin Munteanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What Makes a Good Conversation?
Hit paper breakdown →
2019322
2 2019152
3 2015121
4 2019102
5 201593
6 201782
7 201871
8 201967
9 200655
10 202154
11 201943
12 201741
13 201536
14 202035
15 201433
16 201833
17 201632
18 200731
19 201829
20 201728

About Cosmin Munteanu

Cosmin Munteanu is a scholar working on Human-Computer Interaction, Demography, Artificial Intelligence, Social Psychology and Computer Science Applications, having authored 139 papers that have together received 2.5k indexed citations. Recurring topics across this work include Technology Use by Older Adults (45 papers), Innovative Human-Technology Interaction (43 papers), AI in Service Interactions (40 papers), Speech and dialogue systems (38 papers), Social Robot Interaction and HRI (17 papers), ICT in Developing Communities (12 papers), Usability and User Interface Design (10 papers) and Privacy, Security, and Data Protection (8 papers). The work is most often cited by research in Human-Computer Interaction (791 citations), Neuropsychology and Physiological Psychology (85 citations), Demography (476 citations), Artificial Intelligence (1.1k citations) and Applied Psychology (134 citations). Cosmin Munteanu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Christine Murad, Benjamin R. Cowan, Leigh Clark, Jaisie Sin, Gerald M. Penn, Rachel L. Franz, Bárbara Barbosa Neves, Philip R. Doyle, Justin Edwards and Diego Garaialde. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Human-Computer Interaction, Language Resources and Evaluation, IEEE Pervasive Computing and interactions.

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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