Jonathan Maycock

50 total papers · 549 total citations
30 papers, 359 citations indexed

About

Jonathan Maycock is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Control and Systems Engineering. According to data from OpenAlex, Jonathan Maycock has authored 30 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Atomic and Molecular Physics, and Optics and 11 papers in Control and Systems Engineering. Recurrent topics in Jonathan Maycock's work include Digital Holography and Microscopy (12 papers), Hand Gesture Recognition Systems (10 papers) and Robot Manipulation and Learning (8 papers). Jonathan Maycock is often cited by papers focused on Digital Holography and Microscopy (12 papers), Hand Gesture Recognition Systems (10 papers) and Robot Manipulation and Learning (8 papers). Jonathan Maycock collaborates with scholars based in Germany, Ireland and United States. Jonathan Maycock's co-authors include Helge Ritter, Bryan M. Hennelly, John McDonald, Thomas J. Naughton, Bahram Javidi, Matthias Schröder, Mario Botsch, Robert Haschke, Albertina Castro and Yann Frauel and has published in prestigious journals such as Scientific Reports, Journal of the Optical Society of America A and Optics Communications.

In The Last Decade

Jonathan Maycock

30 papers receiving 345 citations

Author Peers

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

Author						Papers	Cites
Jonathan Maycock	186	153	132	111	105	30	359
Yong-Moo Kwon	161 0.9×	38 0.2×	80 0.6×	102 0.9×	89 0.8×	51	367
Wookho Son	105 0.6×	39 0.3×	79 0.6×	163 1.5×	32 0.3×	38	314
D. Colucci	193 1.0×	76 0.5×	26 0.2×	137 1.2×	31 0.3×	21	387
Satoshi Maekawa	159 0.9×	58 0.4×	230 1.7×	165 1.5×	30 0.3×	36	351
Hamid Reza Vaezi Joze	275 1.5×	174 1.1×	61 0.5×	81 0.7×	14 0.1×	10	330
Sakuichi Ohtsuka	150 0.8×	44 0.3×	150 1.1×	100 0.9×	14 0.1×	54	305
Masahiro Toyoura	237 1.3×	38 0.2×	26 0.2×	48 0.4×	16 0.2×	69	382
Sunao Hashimoto	73 0.4×	129 0.8×	9 0.1×	77 0.7×	50 0.5×	28	382
Vlad Branzoi	222 1.2×	15 0.1×	87 0.7×	81 0.7×	23 0.2×	12	322
Takafumi Koike	147 0.8×	77 0.5×	194 1.5×	97 0.9×	6 0.1×	64	355

Countries citing papers authored by Jonathan Maycock

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Maycock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Maycock

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Maycock. A scholar is included among the top collaborators of Jonathan Maycock 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 Jonathan Maycock. Jonathan Maycock 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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