H.M.G. Stokman

31 total papers · 568 total citations
20 papers, 375 citations indexed

About

H.M.G. Stokman is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, H.M.G. Stokman has authored 20 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Atomic and Molecular Physics, and Optics and 7 papers in Media Technology. Recurrent topics in H.M.G. Stokman's work include Color Science and Applications (14 papers), Image Retrieval and Classification Techniques (7 papers) and Remote-Sensing Image Classification (7 papers). H.M.G. Stokman is often cited by papers focused on Color Science and Applications (14 papers), Image Retrieval and Classification Techniques (7 papers) and Remote-Sensing Image Classification (7 papers). H.M.G. Stokman collaborates with scholars based in Netherlands. H.M.G. Stokman's co-authors include Theo Gevers, Th. Gevers, Jan J. Koenderink, Joost van de Weijer, Konstantinos N. Plataniotis, A.W.M. Smeulders, Daniel Fontijne, Pascal Mettes, D.C. Koelma and R. Blythe Towal and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Multimedia.

In The Last Decade

H.M.G. Stokman

18 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
H.M.G. Stokman	295	115	84	42	22	20	375
Cong Phuoc Huynh	271 0.9×	136 1.2×	62 0.7×	32 0.8×	37 1.7×	32	438
Steven Le Moan	185 0.6×	199 1.7×	39 0.5×	16 0.4×	28 1.3×	39	334
Ehsan Nadernejad	332 1.1×	119 1.0×	91 1.1×	13 0.3×	29 1.3×	34	422
Hossein Ziaei Nafchi	284 1.0×	162 1.4×	32 0.4×	5 0.1×	25 1.1×	13	346
Jitesh Jain	220 0.7×	34 0.3×	47 0.6×	37 0.9×	73 3.3×	21	405
J.F. Haddon	242 0.8×	77 0.7×	9 0.1×	30 0.7×	55 2.5×	30	348
Damien Muselet	276 0.9×	76 0.7×	44 0.5×	33 0.8×	64 2.9×	34	360
Jing Li	300 1.0×	83 0.7×	12 0.1×	163 3.9×	23 1.0×	29	435
Li Zhang	286 1.0×	159 1.4×	20 0.2×	59 1.4×	26 1.2×	16	359
George Paschos	301 1.0×	130 1.1×	27 0.3×	12 0.3×	44 2.0×	13	405

Countries citing papers authored by H.M.G. Stokman

Since Specialization

Citations

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

Fields of papers citing papers by H.M.G. Stokman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.M.G. Stokman. 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 H.M.G. Stokman. The network helps show where H.M.G. Stokman may publish in the future.

Co-authorship network of co-authors of H.M.G. Stokman

This figure shows the co-authorship network connecting the top 25 collaborators of H.M.G. Stokman. A scholar is included among the top collaborators of H.M.G. Stokman 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 H.M.G. Stokman. H.M.G. Stokman 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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