Jan C. van Gemert

27 total papers · 513 total citations
10 papers, 243 citations indexed

About

Jan C. van Gemert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jan C. van Gemert has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Jan C. van Gemert's work include Image Retrieval and Classification Techniques (3 papers), Video Analysis and Summarization (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Jan C. van Gemert is often cited by papers focused on Image Retrieval and Classification Techniques (3 papers), Video Analysis and Summarization (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Jan C. van Gemert collaborates with scholars based in Netherlands, Spain and Germany. Jan C. van Gemert's co-authors include Victoria Yanulevskaya, Nicu Sebe, Katharina Roth, Jan‐Mark Geusebroek, Pascal Mettes, Thomas Mensink, Cees G. M. Snoek, Sezer Karaoğlu, Theo Gevers and Ran Tao and has published in prestigious journals such as IEEE Transactions on Image Processing, Computer Vision and Image Understanding and Computational Geosciences.

In The Last Decade

Jan C. van Gemert

9 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
Jan C. van Gemert	180	80	27	23	20	10	243
Yushan Wu	162 0.9×	86 1.1×	31 1.1×	16 0.7×	54 2.7×	19	294
Kang Wang	102 0.6×	19 0.2×	28 1.0×	18 0.8×	17 0.8×	9	326
Dimas Lima	101 0.6×	60 0.8×	19 0.7×	7 0.3×	64 3.2×	9	249
Stefan Mathe	232 1.3×	59 0.7×	29 1.1×	7 0.3×	6 0.3×	5	265
Amir Sadovnik	231 1.3×	137 1.7×	33 1.2×	17 0.7×	44 2.2×	23	319
Hamit Soyel	186 1.0×	34 0.4×	14 0.5×	13 0.6×	124 6.2×	14	240
Sohail Masood Bhatti	61 0.3×	90 1.1×	9 0.3×	8 0.3×	28 1.4×	23	210
Yu Yu	90 0.5×	29 0.4×	18 0.7×	29 1.3×	15 0.8×	15	248
Pamela McCauley	68 0.4×	25 0.3×	10 0.4×	28 1.2×	22 1.1×	11	204
Jinhyeok Jang	185 1.0×	56 0.7×	31 1.1×	18 0.8×	155 7.8×	14	272

Countries citing papers authored by Jan C. van Gemert

Since Specialization

Citations

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

Fields of papers citing papers by Jan C. van Gemert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan C. van Gemert. 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 Jan C. van Gemert. The network helps show where Jan C. van Gemert may publish in the future.

Co-authorship network of co-authors of Jan C. van Gemert

This figure shows the co-authorship network connecting the top 25 collaborators of Jan C. van Gemert. A scholar is included among the top collaborators of Jan C. van Gemert 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 Jan C. van Gemert. Jan C. van Gemert 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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