Rony Kubat

15 total papers · 405 total citations
8 papers, 178 citations indexed

About

Rony Kubat is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Rony Kubat has authored 8 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Rony Kubat's work include Speech and dialogue systems (3 papers), Multimodal Machine Learning Applications (2 papers) and Video Analysis and Summarization (2 papers). Rony Kubat is often cited by papers focused on Speech and dialogue systems (3 papers), Multimodal Machine Learning Applications (2 papers) and Video Analysis and Summarization (2 papers). Rony Kubat collaborates with scholars based in United States. Rony Kubat's co-authors include Deb Roy, Philip DeCamp, Cynthia Breazeal, Guy Hoffman, Stefanie Tellex, Brandon Roy, Kai-yuh Hsiao, Soroush Vosoughi, Peter Gorniak and Nikolaos Mavridis and has published in prestigious journals such as Cognitive Science, Connection Science and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Rony Kubat

8 papers receiving 165 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rony Kubat	76	62	39	27	24	8	178
Zerrin Yumak	75 1.0×	48 0.8×	31 0.8×	40 1.5×	37 1.5×	17	205
David Pizzi	66 0.9×	123 2.0×	38 1.0×	40 1.5×	29 1.2×	16	233
Nicola Macchiarulo	54 0.7×	41 0.7×	41 1.1×	14 0.5×	17 0.7×	19	203
Marco Vala	21 0.3×	58 0.9×	43 1.1×	22 0.8×	22 0.9×	12	126
Felix Kistler	52 0.7×	75 1.2×	89 2.3×	27 1.0×	22 0.9×	10	227
Deepali Aneja	62 0.8×	47 0.8×	27 0.7×	17 0.6×	4 0.2×	11	150
Alexandre Mazel	47 0.6×	32 0.5×	60 1.5×	20 0.7×	6 0.3×	8	152
Rutger Rienks	43 0.6×	131 2.1×	76 1.9×	14 0.5×	7 0.3×	17	238
Margaux Lhommet	60 0.8×	44 0.7×	41 1.1×	62 2.3×	13 0.5×	5	144
Barbara Mazzarino	85 1.1×	19 0.3×	42 1.1×	24 0.9×	11 0.5×	18	160

Countries citing papers authored by Rony Kubat

Since Specialization

Citations

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

Fields of papers citing papers by Rony Kubat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rony Kubat

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

All Works

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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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