Robin De Croon

45 total papers · 581 total citations
31 papers, 354 citations indexed

About

Robin De Croon is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and General Health Professions. According to data from OpenAlex, Robin De Croon has authored 31 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Human-Computer Interaction and 6 papers in General Health Professions. Recurrent topics in Robin De Croon's work include Data Visualization and Analytics (7 papers), Innovative Human-Technology Interaction (6 papers) and Mobile Health and mHealth Applications (6 papers). Robin De Croon is often cited by papers focused on Data Visualization and Analytics (7 papers), Innovative Human-Technology Interaction (6 papers) and Mobile Health and mHealth Applications (6 papers). Robin De Croon collaborates with scholars based in Belgium, United Kingdom and United States. Robin De Croon's co-authors include Katrien Verbert, Vero Vanden Abeele, Nyi Nyi Htun, Xavier Ochôa, Tinne De Laet, Erik Duval, Gregor Štiglic, Joris Klerkx, Francisco Luís Gutiérrez Vela and Sven Charleer and has published in prestigious journals such as Journal of Medical Internet Research, Journal of the Association for Information Systems and Journal of Chemical Education.

In The Last Decade

Robin De Croon

29 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Robin De Croon	72	65	64	62	61	31	354
Nur Azlina Mohamed Mokmin	45 0.6×	73 1.1×	71 1.1×	21 0.3×	50 0.8×	40	296
Kathleen McCoy	51 0.7×	40 0.6×	85 1.3×	44 0.7×	62 1.0×	46	388
Rui Neves Madeira	53 0.7×	49 0.8×	26 0.4×	24 0.4×	31 0.5×	60	372
Emma Anderson	68 0.9×	42 0.6×	57 0.9×	32 0.5×	33 0.5×	17	386
Michela Ferron	39 0.5×	33 0.5×	49 0.8×	33 0.5×	19 0.3×	22	351
Frode Guribye	35 0.5×	40 0.6×	33 0.5×	41 0.7×	27 0.4×	39	380
Nathalie Colineau	61 0.8×	84 1.3×	70 1.1×	69 1.1×	18 0.3×	38	398
Henrique Damasceno Vianna	40 0.6×	52 0.8×	30 0.5×	37 0.6×	14 0.2×	20	328
Zhenhui Peng	56 0.8×	26 0.4×	162 2.5×	19 0.3×	44 0.7×	38	357
Dhaval Parmar	25 0.3×	92 1.4×	52 0.8×	19 0.3×	55 0.9×	31	364

Countries citing papers authored by Robin De Croon

Since Specialization

Citations

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

Fields of papers citing papers by Robin De Croon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin De Croon. 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 Robin De Croon. The network helps show where Robin De Croon may publish in the future.

Co-authorship network of co-authors of Robin De Croon

This figure shows the co-authorship network connecting the top 25 collaborators of Robin De Croon. A scholar is included among the top collaborators of Robin De Croon 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 Robin De Croon. Robin De Croon 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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