David Hands

1.4k total citations · 1 hit paper
34 papers, 901 citations indexed

About

David Hands is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, David Hands has authored 34 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 7 papers in Media Technology. Recurrent topics in David Hands's work include Image and Video Quality Assessment (23 papers), Video Coding and Compression Technologies (12 papers) and Advanced Image Processing Techniques (10 papers). David Hands is often cited by papers focused on Image and Video Quality Assessment (23 papers), Video Coding and Compression Technologies (12 papers) and Advanced Image Processing Techniques (10 papers). David Hands collaborates with scholars based in United Kingdom, France and Canada. David Hands's co-authors include Stephan Winkler, Akira Takahashi, S. E. Avons, Kjell Brunnström, A. Webster, Filippo Speranza, Andrea Cavallaro, M. S. Brotherton, Quan Huynh‐Thu and T. O’Farrell and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Communications Magazine and IEEE Signal Processing Magazine.

In The Last Decade

David Hands

33 papers receiving 821 citations

Hit Papers

Mean opinion score (MOS) revisited: methods and applicati... 2014 2026 2018 2022 2014 100 200 300
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.

  1. Mean opinion score (MOS) revisited: methods and applications, limitations and alternatives
    2014 315 citations David Hands et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hands United Kingdom 11 639 274 176 134 126 34 901
Andrew Perkis Norway 19 816 1.3× 233 0.9× 182 1.0× 159 1.2× 209 1.7× 111 1.2k
Kjell Brunnström Sweden 17 764 1.2× 240 0.9× 135 0.8× 119 0.9× 171 1.4× 92 1.1k
Lucjan Janowski Poland 14 512 0.8× 124 0.5× 115 0.7× 149 1.1× 90 0.7× 58 750
Maria Torres Vega Belgium 16 574 0.9× 221 0.8× 111 0.6× 260 1.9× 109 0.9× 72 948
Steve Göring Germany 14 594 0.9× 228 0.8× 102 0.6× 94 0.7× 79 0.6× 55 683
John R. Kender United States 20 1.1k 1.7× 299 1.1× 160 0.9× 52 0.4× 71 0.6× 116 1.4k
Truong Cong Thang Japan 21 1.1k 1.7× 702 2.6× 256 1.5× 327 2.4× 109 0.9× 159 1.8k
Glenn Van Wallendael Belgium 17 855 1.3× 467 1.7× 69 0.4× 44 0.3× 72 0.6× 128 1.0k
Yimin Chen China 17 378 0.6× 172 0.6× 97 0.6× 140 1.0× 65 0.5× 60 904
Anil Fernando United Kingdom 12 363 0.6× 246 0.9× 31 0.2× 98 0.7× 59 0.5× 83 620

Countries citing papers authored by David Hands

Since Specialization
Citations

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

Fields of papers citing papers by David Hands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hands

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

All Works

20 of 20 papers shown
1.
Cavallaro, Andrea, et al.. (2011). Image Coding Using Depth Blurring for Aesthetically Acceptable Distortion. IEEE Transactions on Image Processing. 20(11). 3039–3050. 1 indexed citations
2.
Cavallaro, Andrea, et al.. (2011). Efficient depth blurring with occlusion handling. 15. 2585–2588. 1 indexed citations
3.
Hands, David, et al.. (2010). Subjective assessment of HDTV content: comparison of quality across HDTV formats. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7527. 75270I–75270I. 4 indexed citations
4.
Cavallaro, Andrea, et al.. (2010). Accurate and Efficient Method for Smoothly Space-Variant Gaussian Blurring. IEEE Transactions on Image Processing. 19(5). 1362–1370. 29 indexed citations
5.
MacKenzie, Richard, David Hands, & T. O’Farrell. (2009). Effectiveness of H.264 Error Resilience Techniques in 802.11e WLANs. 3768. 1–6. 4 indexed citations
6.
MacKenzie, Richard, David Hands, & T. O’Farrell. (2009). Packet handling strategies to improve video QoS over 802.11e WLANs. 3768. 1173–1177. 2 indexed citations
7.
Cavallaro, Andrea, et al.. (2009). Distance blurring for space-variant image coding. 665–668. 2 indexed citations
8.
Hands, David, et al.. (2009). No reference perceptual quality metrics: approaches and limitations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7240. 72400Y–72400Y. 6 indexed citations
9.
Brunnström, Kjell, David Hands, Filippo Speranza, & A. Webster. (2009). VQeg validation and ITU standardization of objective perceptual video quality metrics [Standards in a Nutshell]. IEEE Signal Processing Magazine. 26(3). 96–101. 53 indexed citations
10.
Hands, David, et al.. (2006). Stabilizing viewing distances in subjective assessment of mobile video. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6057. 60570R–60570R. 2 indexed citations
11.
Huynh‐Thu, Quan, et al.. (2006). Subjective video quality evaluation for multimedia applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6057. 60571D–60571D. 5 indexed citations
12.
Hands, David, et al.. (2005). Subjective quality assessment for objective quality model development. Electronics Letters. 41(7). 408–409. 9 indexed citations
13.
Hands, David, et al.. (2005). Video QoS enhancement using perceptual quality metrics. BT Technology Journal. 23(2). 208–216. 2 indexed citations
14.
Mansfield, Neil J., et al.. (2005). Quantification of error perception for full-face digital video. Electronics Letters. 41(16). 902–903.
15.
Hands, David. (2004). A Basic Multimedia Quality Model. IEEE Transactions on Multimedia. 6(6). 806–816. 114 indexed citations
16.
Hands, David & S. E. Avons. (2001). Recency and duration neglect in subjective assessment of television picture quality. Applied Cognitive Psychology. 15(6). 639–657. 57 indexed citations
17.
Hands, David. (2001). Temporal characterisation of forgiveness effect. Electronics Letters. 37(12). 752–754. 11 indexed citations
18.
19.
Hollier, M. P., et al.. (1999). Multi-modal Perception. BT Technology Journal. 17(1). 35–46. 26 indexed citations
20.
Hands, David, et al.. (1998). Continuous quality assessment of digitally-coded television pictures. IEE Proceedings - Vision Image and Signal Processing. 145(2). 116–116. 14 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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