Ken Chatfield

4.8k total citations · 1 hit paper
6 papers, 619 citations indexed

About

Ken Chatfield is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ken Chatfield has authored 6 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Ken Chatfield's work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers) and Video Analysis and Summarization (2 papers). Ken Chatfield is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers) and Video Analysis and Summarization (2 papers). Ken Chatfield collaborates with scholars based in United Kingdom, Netherlands and Ireland. Ken Chatfield's co-authors include Andrew Zisserman, Victor Lempitsky, Andrea Vedaldi, James Philbin, Relja Arandjelović, Omkar Parkhi, Frederick L. Hoffman, Noel E. O’Connor, Robin Aly and Matthijs Douze and has published in prestigious journals such as International Journal of Multimedia Information Retrieval and Arrow@dit (Dublin Institute of Technology).

In The Last Decade

Ken Chatfield

6 papers receiving 585 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The devil is in the details: an evaluation of recent feature encoding methods

2011 533 citations Ken Chatfield, Victor Lempitsky et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ken Chatfield United Kingdom	6	537	140	91	69	29	6	619
Vinit Jakhetiya India	15	327 0.6×	62 0.4×	119 1.3×	63 0.9×	26 0.9×	53	492
Seoung Wug Oh United States	13	982 1.8×	82 0.6×	246 2.7×	48 0.7×	19 0.7×	22	1.1k
Ben Daubney United Kingdom	7	434 0.8×	76 0.5×	64 0.7×	59 0.9×	39 1.3×	12	535
Zhongyang Huang Singapore	11	524 1.0×	184 1.3×	106 1.2×	32 0.5×	48 1.7×	22	650
Andreas Opelt Austria	7	409 0.8×	91 0.7×	73 0.8×	79 1.1×	7 0.2×	10	459
Rongyao Fang Hong Kong	5	355 0.7×	247 1.8×	33 0.4×	39 0.6×	28 1.0×	6	542
Giorgos Sfikas Greece	11	320 0.6×	295 2.1×	71 0.8×	33 0.5×	22 0.8×	42	560
Jinlong Shi China	12	255 0.5×	65 0.5×	42 0.5×	57 0.8×	7 0.2×	48	388
Kevin Lin Taiwan	6	599 1.1×	121 0.9×	43 0.5×	59 0.9×	16 0.6×	12	655
Yuqing Wang China	4	377 0.7×	120 0.9×	44 0.5×	30 0.4×	18 0.6×	8	468

Countries citing papers authored by Ken Chatfield

Since Specialization

Citations

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

Fields of papers citing papers by Ken Chatfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Chatfield

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Chatfield. A scholar is included among the top collaborators of Ken Chatfield 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 Ken Chatfield. Ken Chatfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Hoffman, Frederick L., et al.. (2023). Improving Visual Representation Learning Through Perceptual Understanding. 14486–14495. 6 indexed citations

2.

Chatfield, Ken, Relja Arandjelović, Omkar Parkhi, & Andrew Zisserman. (2015). On-the-fly learning for visual search of large-scale image and video datasets. International Journal of Multimedia Information Retrieval. 4(2). 75–93. 27 indexed citations

3.

McGuinness, Kevin, Robin Aly, Ken Chatfield, et al.. (2014). The AXES research video search system. Arrow@dit (Dublin Institute of Technology). 5 indexed citations

4.

McGuinness, Kevin, Noel E. O’Connor, Robin Aly, et al.. (2013). The AXES PRO video search system. 307–308. 5 indexed citations

5.

Chatfield, Ken, Victor Lempitsky, Andrea Vedaldi, & Andrew Zisserman. (2011). The devil is in the details: an evaluation of recent feature encoding methods. 76.1–76.12. 533 indexed citations breakdown →

6.

Chatfield, Ken, James Philbin, & Andrew Zisserman. (2009). Efficient retrieval of deformable shape classes using local self-similarities. 264–271. 43 indexed citations

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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