Christopher D. Buckingham

769 total citations
41 papers, 512 citations indexed

About

Christopher D. Buckingham is a scholar working on Artificial Intelligence, General Health Professions and Molecular Biology. According to data from OpenAlex, Christopher D. Buckingham has authored 41 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in General Health Professions and 5 papers in Molecular Biology. Recurrent topics in Christopher D. Buckingham's work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (5 papers) and Mental Health Treatment and Access (4 papers). Christopher D. Buckingham is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (5 papers) and Mental Health Treatment and Access (4 papers). Christopher D. Buckingham collaborates with scholars based in United Kingdom, United States and Malaysia. Christopher D. Buckingham's co-authors include Ann Adams, John B. McKinlay, Sara Arber, Lisa Marceau, Laura Vail, Carol L. Link, Anikó Ekárt, Zsolt Kemény, Antje Lindenmeyer and Elisabeth Ilie‐Zudor and has published in prestigious journals such as Social Science & Medicine, Journal of Advanced Nursing and Patient Education and Counseling.

In The Last Decade

Christopher D. Buckingham

39 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher D. Buckingham United Kingdom 13 175 75 70 53 52 41 512
V. L. Patel United States 11 144 0.8× 34 0.5× 66 0.9× 37 0.7× 26 0.5× 13 546
Blaine Reeder United States 16 340 1.9× 31 0.4× 94 1.3× 30 0.6× 23 0.4× 52 944
James P. Turley United States 15 143 0.8× 19 0.3× 97 1.4× 25 0.5× 87 1.7× 54 874
Marcello Sarini Italy 13 83 0.5× 37 0.5× 44 0.6× 40 0.8× 39 0.8× 35 558
Jacqueline Moss United States 18 246 1.4× 98 1.3× 216 3.1× 29 0.5× 80 1.5× 65 1.3k
Anne Moen Norway 18 383 2.2× 98 1.3× 250 3.6× 27 0.5× 38 0.7× 113 1.2k
Naonori Kodate Ireland 16 171 1.0× 37 0.5× 108 1.5× 22 0.4× 116 2.2× 49 741
Cheryl Bagley Thompson United States 15 128 0.7× 31 0.4× 96 1.4× 8 0.2× 31 0.6× 54 600
Khalil Kimiafar Iran 14 133 0.8× 38 0.5× 116 1.7× 14 0.3× 15 0.3× 80 692
Jayden Khakurel Finland 11 79 0.5× 37 0.5× 33 0.5× 16 0.3× 49 0.9× 21 715

Countries citing papers authored by Christopher D. Buckingham

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Buckingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Buckingham. 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 Christopher D. Buckingham. The network helps show where Christopher D. Buckingham may publish in the future.

Co-authorship network of co-authors of Christopher D. Buckingham

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Buckingham. A scholar is included among the top collaborators of Christopher D. Buckingham 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 Christopher D. Buckingham. Christopher D. Buckingham 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.
Buckingham, Christopher D., et al.. (2016). Moderating the Influence of Current Intention to Improve Suicide Risk Prediction.. PubMed. 2016. 1274–1282. 6 indexed citations
2.
Adams, Alexander J., Alba Realpe, Laura Vail, et al.. (2015). How doctors’ communication style and race concordance influence African–Caribbean patients when disclosing depression. Patient Education and Counseling. 98(10). 1266–1273. 11 indexed citations
3.
Buckingham, Christopher D., et al.. (2015). Integrating service user and practitioner expertise within a web-based system for collaborative mental-health risk and safety management. Patient Education and Counseling. 98(10). 1189–1196. 18 indexed citations
4.
Ilie‐Zudor, Elisabeth, et al.. (2015). Advanced predictive-analysis-based decision support for collaborative logistics networks. Supply Chain Management An International Journal. 20(4). 369–388. 42 indexed citations
5.
Buckingham, Christopher D., et al.. (2014). Handling varying amounts of missing data when classifying mental-health risk levels.. PubMed. 207. 92–101. 2 indexed citations
6.
Buckingham, Christopher D., et al.. (2014). Understanding Data Collection Behaviour of Mental Health Practitioners. Studies in health technology and informatics. 207. 193–202. 2 indexed citations
7.
Roter, Debra, Lori H. Erby, Ann Adams, et al.. (2014). Talking about depression: An analogue study of physician gender and communication style on patient disclosures. Patient Education and Counseling. 96(3). 339–345. 24 indexed citations
8.
Adams, Alexander J., Laura Vail, Christopher D. Buckingham, et al.. (2014). Investigating the influence of African American and African Caribbean race on primary care doctors' decision making about depression. Social Science & Medicine. 116. 161–168. 20 indexed citations
9.
Buckingham, Christopher D., et al.. (2013). Designing multiple user perspectives and functionality for clinical decision support systems. Aston Publications Explorer (Aston University). 211–218. 5 indexed citations
10.
Buckingham, Christopher D., et al.. (2013). The Multiple Pheromone Ant Clustering Algorithm and its application to real world domains. Aston Publications Explorer (Aston University). 27–34.
11.
Vail, Laura, et al.. (2012). Investigating mental health risk assessment in primary care and the potential role of a structured decision support tool, GRiST.. PubMed. 9(1). 57–67. 4 indexed citations
12.
Gilbert, Eleanor, Ann Adams, & Christopher D. Buckingham. (2011). Examining the relationship between risk assessment and risk management in mental health. Journal of Psychiatric and Mental Health Nursing. 18(10). 862–868. 19 indexed citations
13.
Buckingham, Christopher D., et al.. (2010). Modulating Membership Grades to Gain Consensus for Fuzzy Set Uncertainty Values in a Clinical Decision Support System. 1. 40–45. 3 indexed citations
14.
Buckingham, Christopher D., et al.. (2009). Medical case-based reasoning: A review of retrieving, matching and adaptation processes in recent systems. 72–76. 3 indexed citations
15.
Buckingham, Christopher D., et al.. (2008). An Algorithm for Robust Relative Influence Values Elicitation (ARRIVE). 8. 91–96. 2 indexed citations
16.
Adams, Ann, Rachel Adams, Margaret Thorogood, & Christopher D. Buckingham. (2007). Barriers to the use of e-health technology in nursepractitioner_patient consultations. Journal of Innovation in Health Informatics. 15(2). 103–109. 22 indexed citations
17.
Adams, Ann, Christopher D. Buckingham, Antje Lindenmeyer, et al.. (2007). The influence of patient and doctor gender on diagnosing coronary heart disease. Sociology of Health & Illness. 30(1). 1–18. 62 indexed citations
18.
Buckingham, Christopher D.. (2002). Psychological cue use and implications for a clinical decision support system. Medical Informatics and the Internet in Medicine. 27(4). 237–251. 21 indexed citations
19.
Buckingham, Christopher D. & Ann Adams. (2000). Classifying clinical decision making: a unifying approach. Journal of Advanced Nursing. 32(4). 981–989. 66 indexed citations
20.
Buckingham, Christopher D. & Ann Adams. (2000). Classifying clinical decision making: interpreting nursing intuition, heuristics and medical diagnosis. Journal of Advanced Nursing. 32(4). 990–998. 62 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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