Chris Solomon

1.1k total citations · 1 hit paper
10 papers, 726 citations indexed

About

Chris Solomon is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Chris Solomon has authored 10 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 4 papers in Social Psychology. Recurrent topics in Chris Solomon's work include Face Recognition and Perception (7 papers), Face recognition and analysis (6 papers) and Deception detection and forensic psychology (4 papers). Chris Solomon is often cited by papers focused on Face Recognition and Perception (7 papers), Face recognition and analysis (6 papers) and Deception detection and forensic psychology (4 papers). Chris Solomon collaborates with scholars based in United Kingdom. Chris Solomon's co-authors include Toby P. Breckon, Stuart Gibson, Josh P. Davis, Tim Valentine, Vicki Bruce, Stephen Richmond, Dirk Vandermeulen, Kathryn Y. Segovia, Bernard Tiddeman and Catriona Havard and has published in prestigious journals such as Journal of Visualized Experiments, Applied Cognitive Psychology and The Journal of Psychology.

In The Last Decade

Chris Solomon

10 papers receiving 671 citations

Hit Papers

Fundamentals of Digital Image Processing: A Practical App... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Solomon United Kingdom 8 332 94 85 80 77 10 726
Vassilios Morellas United States 19 569 1.7× 106 1.1× 65 0.8× 146 1.8× 63 0.8× 72 1.1k
Sanghyun Seo South Korea 16 408 1.2× 71 0.8× 38 0.4× 149 1.9× 224 2.9× 90 991
Seung-Hyun Lee South Korea 16 262 0.8× 109 1.2× 244 2.9× 34 0.4× 88 1.1× 153 965
Xiaojun Wu China 14 286 0.9× 134 1.4× 108 1.3× 132 1.6× 43 0.6× 105 794
Siu‐Yeung Cho Singapore 17 605 1.8× 42 0.4× 128 1.5× 116 1.4× 98 1.3× 57 925
Hung-Yu Tseng Taiwan 17 823 2.5× 95 1.0× 73 0.9× 238 3.0× 72 0.9× 31 1.2k
Leandro A. F. Fernandes Brazil 8 446 1.3× 129 1.4× 82 1.0× 99 1.2× 18 0.2× 39 751
P. Kruizinga Netherlands 7 605 1.8× 102 1.1× 217 2.6× 152 1.9× 45 0.6× 17 927
Zhitao Xiao China 19 415 1.3× 36 0.4× 114 1.3× 241 3.0× 120 1.6× 126 1.3k

Countries citing papers authored by Chris Solomon

Since Specialization
Citations

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

Fields of papers citing papers by Chris Solomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Solomon

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

All Works

10 of 10 papers shown
1.
Davis, Josh P., et al.. (2015). Holistic Facial Composite Construction and Subsequent Lineup Identification Accuracy: Comparing Adults and Children. The Journal of Psychology. 150(1). 102–118. 9 indexed citations
2.
Davis, Josh P., et al.. (2015). Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm. Journal of Visualized Experiments. e53298–e53298. 2 indexed citations
3.
Davis, Josh P., et al.. (2015). An evaluation of post-production facial composite enhancement techniques. Journal of Forensic Practice. 17(4). 307–318. 5 indexed citations
4.
Davis, Josh P., Stuart Gibson, & Chris Solomon. (2014). The Positive Influence of Creating a Holistic Facial Composite on Video Line‐up Identification. Applied Cognitive Psychology. 28(5). 634–639. 10 indexed citations
5.
Wilkinson, Caroline, Vicki Bruce, Peter Hancock, et al.. (2012). Craniofacial Identification. Cambridge University Press eBooks. 45 indexed citations
6.
Solomon, Chris & Toby P. Breckon. (2011). Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab. Durham Research Online (Durham University). 359 indexed citations breakdown →
7.
Valentine, Tim, et al.. (2010). Evolving and combining facial composites: Between-witness and within-witness morphs compared.. Journal of Experimental Psychology Applied. 16(1). 72–86. 28 indexed citations
8.
Davis, Josh P., et al.. (2010). A Comparison of Individual and Morphed Facial Composites Created Using Different Systems. Greenwich Academic Literature Archive (University of Greenwich). 11. 56–60. 7 indexed citations
9.
Solomon, Chris & Toby P. Breckon. (2010). Fundamentals of Digital Image Processing. 233 indexed citations
10.
Gibson, Stuart, et al.. (2009). New methodology in facial composite construction: from theory to practice. International Journal of Electronic Security and Digital Forensics. 2(2). 156–156. 28 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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