Miles Hansard

57 total papers · 1.4k total citations
31 papers, 904 citations indexed

About

Miles Hansard is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Aerospace Engineering. According to data from OpenAlex, Miles Hansard has authored 31 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 6 papers in Aerospace Engineering. Recurrent topics in Miles Hansard's work include Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (9 papers) and Visual perception and processing mechanisms (5 papers). Miles Hansard is often cited by papers focused on Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (9 papers) and Visual perception and processing mechanisms (5 papers). Miles Hansard collaborates with scholars based in United Kingdom, France and South Korea. Miles Hansard's co-authors include Radu Horaud, Seungkyu Lee, Ouk Choi, Georgios Evangelidis, Clément Menier, Tahereh L. Ansari, L. Shoker, Michael W. Eysenck, Nazanin Derakshan and Georgios Evangelidis and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Miles Hansard

31 papers receiving 867 citations

Author Peers

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

Author						Papers	Cites
Miles Hansard	330	228	205	169	126	31	904
Cristóbal Curio	411 1.2×	14 0.1×	226 1.1×	104 0.6×	134 1.1×	60	910
Heinz Hügli	662 2.0×	61 0.3×	149 0.7×	13 0.1×	251 2.0×	59	858
Haoyu Wu	265 0.8×	21 0.1×	120 0.6×	98 0.6×	15 0.1×	9	926
Julius Kammerl	240 0.7×	14 0.1×	254 1.2×	33 0.2×	79 0.6×	26	762
F. Heitger	224 0.7×	70 0.3×	432 2.1×	22 0.1×	53 0.4×	20	774
Chris McCarthy	341 1.0×	20 0.1×	239 1.2×	14 0.1×	85 0.7×	87	984
Zicheng Zhang	605 1.8×	29 0.1×	82 0.4×	30 0.2×	12 0.1×	79	1000
Bernd Michaelis	507 1.5×	13 0.1×	132 0.6×	34 0.2×	32 0.3×	81	839
Paolo Spagnolo	657 2.0×	7 0.0×	125 0.6×	50 0.3×	63 0.5×	63	1.0k
Stefano Ferrari	197 0.6×	9 0.0×	168 0.8×	40 0.2×	35 0.3×	58	876

Countries citing papers authored by Miles Hansard

Since Specialization

Citations

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

Fields of papers citing papers by Miles Hansard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miles Hansard

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