Chris Evans

21.9k total citations · 4 hit papers
230 papers, 10.0k citations indexed

About

Chris Evans is a scholar working on Clinical Psychology, Social Psychology and General Health Professions. According to data from OpenAlex, Chris Evans has authored 230 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Clinical Psychology, 40 papers in Social Psychology and 28 papers in General Health Professions. Recurrent topics in Chris Evans's work include Psychotherapy Techniques and Applications (38 papers), Child and Adolescent Psychosocial and Emotional Development (21 papers) and Personality Disorders and Psychopathology (21 papers). Chris Evans is often cited by papers focused on Psychotherapy Techniques and Applications (38 papers), Child and Adolescent Psychosocial and Emotional Development (21 papers) and Personality Disorders and Psychopathology (21 papers). Chris Evans collaborates with scholars based in United Kingdom, United States and Ecuador. Chris Evans's co-authors include Michael Barkham, Frank Margison, Janice Connell, John Mellor‐Clark, Bridget Dolan, Kerry Audin, Graeme McGrath, J. Hubert Lacey, Patricia Hughes and P Turton and has published in prestigious journals such as Nature, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Chris Evans

215 papers receiving 9.4k citations

Hit Papers

Towards a standardised brief outcome measure: Psychometri... 1999 2026 2008 2017 2002 1999 2010 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Evans United Kingdom 48 4.7k 1.6k 1.2k 984 966 230 10.0k
Ulrich John Germany 66 3.4k 0.7× 1.1k 0.7× 2.1k 1.7× 1.2k 1.3× 2.8k 2.9× 535 16.5k
A.J.J.M. Vingerhoets Netherlands 55 2.5k 0.5× 3.3k 2.1× 1.6k 1.3× 836 0.8× 836 0.9× 294 10.8k
Martin Voracek Austria 48 4.1k 0.9× 2.4k 1.5× 340 0.3× 475 0.5× 452 0.5× 384 10.9k
Espen Røysamb Norway 45 3.4k 0.7× 1.7k 1.1× 1.0k 0.8× 725 0.7× 820 0.8× 197 6.9k
Uma Rao United States 52 7.7k 1.6× 1.4k 0.9× 1.5k 1.2× 5.0k 5.1× 481 0.5× 186 17.7k
Andrew Christensen United States 56 4.7k 1.0× 6.4k 4.1× 499 0.4× 432 0.4× 697 0.7× 145 10.4k
Mark S. Allen United States 78 1.7k 0.4× 1.8k 1.1× 542 0.4× 420 0.4× 371 0.4× 404 19.7k
Harvey Kushner United States 49 1.1k 0.2× 570 0.4× 1.3k 1.1× 735 0.7× 1.2k 1.3× 171 10.4k
Suzanne M. Miller United States 47 1.4k 0.3× 1.1k 0.7× 1.6k 1.3× 563 0.6× 2.8k 2.9× 189 10.2k
Kristian Tambs Norway 59 5.0k 1.1× 2.1k 1.3× 2.8k 2.2× 1.4k 1.5× 1.8k 1.9× 250 13.7k

Countries citing papers authored by Chris Evans

Since Specialization
Citations

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

Fields of papers citing papers by Chris Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Evans

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Evans. A scholar is included among the top collaborators of Chris Evans 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 Evans. Chris Evans 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.
Paz, Clara, et al.. (2025). Propiedades psicométricas del Clinical Outcomes in Routine Evaluation (CORE-10) en Argentina. Revista Argentina de Ciencias del Comportamiento. 17(1). 61–71. 1 indexed citations
2.
Errázuriz, Antonia, et al.. (2024). Psychometric properties of the Spanish version of the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE-OM) in Chile. Psychotherapy Research. 35(6). 1017–1029. 2 indexed citations
4.
Feixas, Guillem, et al.. (2021). Effectiveness of integrated treatment for eating disorders in Spain: protocol for a multicentre, naturalistic, observational study. BMJ Open. 11(3). e043152–e043152. 4 indexed citations
6.
Hopper, John L., Tuong L. Nguyen, Jennifer Stone, et al.. (2016). Childhood body mass index and adult mammographic density measures that predict breast cancer risk. Breast Cancer Research and Treatment. 156(1). 163–170. 21 indexed citations
7.
Jokić‐Begić, Nataša, et al.. (2014). Faktorska struktura, psihometrijske karakteristike i kritična vrijednost hrvatskoga prijevoda CORE-OM upitnika. SHILAP Revista de lepidopterología. 3 indexed citations
8.
Rogers, Katherine, Chris Evans, Malcolm Campbell, Alys Young, & Karina Lovell. (2013). The reliability of British Sign Language and English versions of the Clinical Outcomes in Routine Evaluation - Outcome Measure with d/Deaf populations in the UK: an initial study. Health & Social Care in the Community. 22(3). 278–289. 17 indexed citations
9.
Testoni, Ines, et al.. (2013). Gender violence. Testing a model of assumptions: spontaneity, psychological well-being and depression. Revista Brasileira de Psicodrama. 21(1). 95–110. 1 indexed citations
10.
Kristjánsdóttir, Hafrún, Paul M. Šalkovskis, Daníel Þór Ólason, et al.. (2013). Evaluation of the Psychometric Properties of the Icelandic Version of the Clinical Outcomes in Routine Evaluation–Outcome Measure, its Transdiagnostic Utility and Cross‐Cultural Validation. Clinical Psychology & Psychotherapy. 22(1). 64–74. 19 indexed citations
11.
Testoni, Ines, et al.. (2013). Violência de gênero. Testando um modelo: espontaneidade, bem-estar psicológio e depressão. Revista Brasileira de Psicodrama. 21(1). 95–110. 2 indexed citations
12.
Johansen, Kirsten L., Fredric O. Finkelstein, Dennis A. Revicki, et al.. (2010). Systematic Review and Meta-analysis of Exercise Tolerance and Physical Functioning in Dialysis Patients Treated With Erythropoiesis-Stimulating Agents. American Journal of Kidney Diseases. 55(3). 535–548. 58 indexed citations
14.
Ashworth, Mark, et al.. (2007). What does an idiographic measure (PSYCHLOPS) tell us about the spectrum of psychological issues and scores on a nomothetic measure (CORE-OM)?. Research Portal (King's College London). 24 indexed citations
15.
Ashworth, Mark, et al.. (2006). In their own words: a narrative-based classification of clients' problems on an idiographic outcome measure for talking therapy in primary care. 11 indexed citations
16.
Kildal, Nanna, et al.. (2006). Art and Its Institutions : Current Conflicts, Critique and Collaborations. 5 indexed citations
17.
Evans, Chris. (1993). The labyrinth of flames : work and social conflict in early industrial Merthyr Tydfil. University of Wales Press eBooks. 10 indexed citations
18.
Evans, Chris & J. Hubert Lacey. (1986). Toxicity of vitamins: complications of a health movement.. BMJ. 292(6519). 509–510. 13 indexed citations
19.
Lacey, J. Hubert & Chris Evans. (1986). The Impulsivist: a multi‐impulsive personality disorder. British Journal of Addiction. 81(5). 641–649. 281 indexed citations
20.
Chroston, P. N. & Chris Evans. (1983). Seismic velocities of granulites from the Seiland Petrographic Province (N. Norway): Implications for Scandinavian lower continental crust. 52(1). 14–21. 20 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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