Jonathan Maycock

541 citations
30 papers · 359 · h-index 11

Impact in

Papers in

Jonathan Maycock

30 papers receiving 348 citations

Peers

Jonathan Maycock
Comparison fields: 5 of 52
  • Human-Computer Interaction 111
  • Media Technology 128
  • Acoustics and Ultrasonics 9
  • Computer Vision and Pattern Recognition 179
  • Atomic and Molecular Physics, and Optics 153
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Yu Tzu Wu Brazil
Chang-Yeong Kim South Korea
Vlad Branzoi United States
Carlos Aliaga Spain
Haruo Hoshino Japan
Satoshi Maekawa Japan
Hamid Reza Vaezi Joze Canada
Fu‐Chung Huang United States
Rajiv R. Sahay India
Adrian Travis United Kingdom
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jonathan Maycock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Maycock Line = papers co-authored together Jonathan Maycock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007106
2 200629
3 201028
4 201427
5 201225
6 201521
7 201219
8 201515
9 201511
10 201111
11 201110
12 20179
13
Three-dimensional scene reconstruction of partially occluded objects using digital holograms
20066
14 20136
15 20085
16
Towards an Understanding of Grasping using a Multi-Sensing Approach
20113
17 20243
18 20053
19 20053
20 20053

About Jonathan Maycock

Jonathan Maycock is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Control and Systems Engineering, Human-Computer Interaction and Media Technology, having authored 30 papers that have together received 359 indexed citations. Recurring topics across this work include Digital Holography and Microscopy (12 papers), Hand Gesture Recognition Systems (10 papers), Robot Manipulation and Learning (8 papers), Advanced Optical Imaging Technologies (7 papers), Advanced Vision and Imaging (6 papers), Human Pose and Action Recognition (5 papers), Motor Control and Adaptation (5 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (111 citations), Media Technology (128 citations), Acoustics and Ultrasonics (9 citations), Computer Vision and Pattern Recognition (179 citations) and Atomic and Molecular Physics, and Optics (153 citations). Jonathan Maycock has collaborated with scholars based in Germany, Ireland and United States. Frequent co-authors include Helge Ritter, John McDonald, Thomas J. Naughton, Bryan M. Hennelly, Bahram Javidi, Matthias Schröder, Mario Botsch, Robert Haschke, Yann Frauel and Albertina Castro. Their work appears in journals such as Journal of the Optical Society of America A, Frontiers in Human Neuroscience, Optics Communications, Scientific Reports and KI - Künstliche Intelligenz.

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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