Richard A. Williams

950 total citations
48 papers, 664 citations indexed

About

Richard A. Williams is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, Richard A. Williams has authored 48 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Richard A. Williams's work include Simulation Techniques and Applications (4 papers), Multi-Agent Systems and Negotiation (3 papers) and Gene Regulatory Network Analysis (3 papers). Richard A. Williams is often cited by papers focused on Simulation Techniques and Applications (4 papers), Multi-Agent Systems and Negotiation (3 papers) and Gene Regulatory Network Analysis (3 papers). Richard A. Williams collaborates with scholars based in United Kingdom, United States and Australia. Richard A. Williams's co-authors include Israel Goldberg, Jon Timmis, Natalie E. Dean, Eva E. Qwarnström, Gary A. Zarkin, Josephine Mauskopf, Laura Machin, Kimberly M. Thompson, Derek Gatherer and Dávid Becker and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and American Journal of Public Health.

In The Last Decade

Richard A. Williams

43 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard A. Williams United Kingdom 15 102 99 71 62 52 48 664
George M. Gray United States 20 90 0.9× 228 2.3× 41 0.6× 66 1.1× 17 0.3× 59 1.5k
Jae‐Hong Park South Korea 17 51 0.5× 117 1.2× 54 0.8× 44 0.7× 45 0.9× 78 1.2k
Xu Zheng China 17 31 0.3× 368 3.7× 42 0.6× 84 1.4× 41 0.8× 59 1.0k
Corrado Lagazio Italy 24 127 1.2× 129 1.3× 283 4.0× 80 1.3× 99 1.9× 78 1.5k
Ali Mahmoud Ahmed Egypt 11 151 1.5× 81 0.8× 36 0.5× 25 0.4× 20 0.4× 29 921
Gege Wang China 22 51 0.5× 115 1.2× 32 0.5× 88 1.4× 24 0.5× 86 1.1k
Tianyi Wang China 15 35 0.3× 213 2.2× 33 0.5× 37 0.6× 18 0.3× 68 1.0k
Dao Ngoc Hien Tam Vietnam 9 66 0.6× 127 1.3× 23 0.3× 35 0.6× 16 0.3× 19 807
Munazza Fatima Pakistan 19 72 0.7× 228 2.3× 34 0.5× 92 1.5× 51 1.0× 68 1.1k
Yong Joo Lee South Korea 22 150 1.5× 697 7.0× 29 0.4× 25 0.4× 65 1.3× 63 1.4k

Countries citing papers authored by Richard A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard A. Williams. 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 Richard A. Williams. The network helps show where Richard A. Williams may publish in the future.

Co-authorship network of co-authors of Richard A. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Williams. A scholar is included among the top collaborators of Richard A. Williams 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 Richard A. Williams. Richard A. Williams 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.
Williams, Richard A., et al.. (2022). Exploring “quality” in cord blood transfusion: uncertainties, bionetworks, and collaborations. New Genetics and Society. 41(2). 136–156.
2.
3.
Williams, Richard A., et al.. (2021). An integrated socio-technical enterprise modelling: A scenario of healthcare system analysis and design. Journal of Industrial Information Integration. 23. 100221–100221. 17 indexed citations
4.
Machin, Laura, Richard A. Williams, & Lucy Frith. (2020). Proposing a sociology of donation: The donation of body parts and products for art, education, research, or treatment. Sociology Compass. 14(10). 1–16. 10 indexed citations
5.
Williams, Richard A., et al.. (2020). Exploring UK foundation doctors’ perceptions surrounding raising concerns in the workplace. Journal of Vocational Education and Training. 74(3). 513–527. 4 indexed citations
6.
Williams, Richard A.. (2020). Cybernetics of Conflict Within Multi-Partner Technology and Software Engineering Programmes. IEEE Access. 8. 94994–95018. 3 indexed citations
7.
Williams, Richard A.. (2020). User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations. Simulation Modelling Practice and Theory. 106. 102196–102196. 3 indexed citations
8.
Machin, Laura, et al.. (2019). Exploring the perceived medical ethics and law training needs of UK foundation doctors. Medical Teacher. 42(1). 92–100. 11 indexed citations
9.
Tarafdar, Monideepa, et al.. (2019). THE COMPLEMENTARY ROLES OF HEALTH INFORMATION SYSTEMS AND RELATIONAL COORDINATION IN ALCOHOL CARE PATHWAYS: THE CASE OF A U.K. HOSPITAL. Journal of the Association for Information Systems. 5 indexed citations
10.
Machin, Laura, et al.. (2018). Interprofessional education and practice guide: designing ethics-orientated interprofessional education for health and social care students. Journal of Interprofessional Care. 33(6). 608–618. 11 indexed citations
11.
Williams, Richard A. & Laura Machin. (2018). Rethinking gamete donor care: A satisfaction survey of egg and sperm donors in the UK. PLoS ONE. 13(7). e0199971–e0199971. 12 indexed citations
12.
Williams, Richard A., Jon Timmis, & Eva E. Qwarnström. (2017). Investigating IKK dynamics in the NF-κB signalling pathway using X-Machines. 12. 249–256. 3 indexed citations
13.
Palmer, Michael L., Richard A. Williams, & Derek Gatherer. (2016). Rosen's (M,R) system as an X-machine. Journal of Theoretical Biology. 408. 97–104. 10 indexed citations
14.
Williams, Richard A., Jon Timmis, & Eva E. Qwarnström. (2014). Computational Models of the NF-KB Signalling Pathway. Computation. 2(4). 131–158. 43 indexed citations
15.
Williams, Richard A., Richard B. Greaves, Mark Read, et al.. (2013). In silico investigation into dendritic cell regulation of CD8Treg mediated killing of Th1 cells in murine experimental autoimmune encephalomyelitis. BMC Bioinformatics. 14(S6). S9–S9. 15 indexed citations
16.
Williams, Richard A.. (2009). Nanotechnology: Health and Environmental Risks by Jo Anne Shatkin. Risk Analysis. 29(2). 312–313. 1 indexed citations
17.
Stacker, Steven A., Rae H. Farnsworth, Tara Karnezis, et al.. (2006). Molecular Pathways for Lymphangiogenesis and their Role in Human Disease. Novartis Foundation symposium. 281. 38–49. 16 indexed citations
18.
Kuchler, Fred, et al.. (1999). Health Transfers: An Application of Health-Health Analysis to Assess Food Safety Regulations. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 10(4). 5. 5 indexed citations
19.
Williams, Richard A.. (1992). Colloid and surface engineering : applications in the process industries. Butterworth-Heinemann eBooks. 59 indexed citations
20.
Williams, Richard A. & Leon J. Marks. (1978). Synovial cyst causing an inguinal mass.. BMJ. 2(6130). 91.2–92. 3 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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