John Stevens

6.4k total citations · 1 hit paper
126 papers, 4.4k citations indexed

About

John Stevens is a scholar working on Economics and Econometrics, Statistics and Probability and Electrical and Electronic Engineering. According to data from OpenAlex, John Stevens has authored 126 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Economics and Econometrics, 21 papers in Statistics and Probability and 20 papers in Electrical and Electronic Engineering. Recurrent topics in John Stevens's work include Health Systems, Economic Evaluations, Quality of Life (30 papers), Statistical Methods in Clinical Trials (18 papers) and Smart Grid Energy Management (11 papers). John Stevens is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (30 papers), Statistical Methods in Clinical Trials (18 papers) and Smart Grid Energy Management (11 papers). John Stevens collaborates with scholars based in United Kingdom, United States and Canada. John Stevens's co-authors include Anthony O’Hagan, Matt Stevenson, Abdullah Pandor, Shijie Ren, Michael J. Campbell, Benjamin Schenkman, Joseph H. Eto, R.H. Lasseter, David A. Klapp and Ruth Wong and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

John Stevens

123 papers receiving 4.2k citations

Hit Papers

CERTS Microgrid Laboratory Test Bed 2010 2026 2015 2020 2010 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
John Stevens United Kingdom 38 909 657 602 584 575 126 4.4k
Frank de Vries Netherlands 47 293 0.3× 135 0.2× 153 0.3× 53 0.1× 2.0k 3.5× 235 6.7k
Susan F. Assmann United States 35 314 0.3× 36 0.1× 269 0.4× 52 0.1× 703 1.2× 69 5.9k
Yaolong Chen China 39 329 0.4× 74 0.1× 27 0.0× 157 0.3× 634 1.1× 334 5.4k
Michael J. Goodman United States 36 878 1.0× 25 0.0× 99 0.2× 77 0.1× 968 1.7× 101 5.6k
Xingmei Wang China 28 435 0.5× 58 0.1× 50 0.1× 28 0.0× 321 0.6× 137 5.9k
Daniel B. Kramer United States 33 398 0.4× 106 0.2× 23 0.0× 47 0.1× 549 1.0× 197 3.8k
Jie Ma China 22 130 0.1× 45 0.1× 66 0.1× 66 0.1× 343 0.6× 120 3.2k
George Diamond United States 50 627 0.7× 86 0.1× 367 0.6× 31 0.1× 4.5k 7.9× 159 13.1k
William G. Baxt United States 32 266 0.3× 34 0.1× 47 0.1× 69 0.1× 646 1.1× 59 4.2k
Stephen J. Chapman United Kingdom 27 67 0.1× 669 1.0× 16 0.0× 453 0.8× 939 1.6× 74 3.1k

Countries citing papers authored by John Stevens

Since Specialization
Citations

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

Fields of papers citing papers by John Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Stevens

This figure shows the co-authorship network connecting the top 25 collaborators of John Stevens. A scholar is included among the top collaborators of John Stevens 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 John Stevens. John Stevens 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
2.
Kearns, Benjamin, John Stevens, Praveen Thokala, et al.. (2019). A Review of Survival Analysis Methods Used in NICE Technology Appraisals of Cancer Treatments: Consistency, Limitations, and Areas for Improvement. Medical Decision Making. 39(8). 899–909. 36 indexed citations
3.
Pandor, Abdullah, Daniel Horner, Sarah Davis, et al.. (2019). Different strategies for pharmacological thromboprophylaxis for lower-limb immobilisation after injury: systematic review and economic evaluation. Health Technology Assessment. 23(63). 1–190. 22 indexed citations
4.
Archer, Rachel, Emma Everson-Hock, Jean Hamilton, et al.. (2018). Assessing prognosis and prediction of treatment response in early rheumatoid arthritis: systematic reviews. Health Technology Assessment. 22(66). 1–294. 17 indexed citations
5.
Ren, Shijie, Jeremy E. Oakley, & John Stevens. (2018). Incorporating Genuine Prior Information about Between-Study Heterogeneity in Random Effects Pairwise and Network Meta-analyses. Medical Decision Making. 38(4). 531–542. 16 indexed citations
7.
Tappenden, Paul, Christopher Carroll, John Stevens, et al.. (2018). Ibrutinib for Treating Waldenström’s Macroglobulinaemia: An Evidence Review Group Perspective of a NICE Single Technology Appraisal. PharmacoEconomics. 37(1). 7–18. 2 indexed citations
8.
Stevens, John, et al.. (2017). A review of methods for comparing treatments evaluated in studies that form disconnected networks of evidence. Research Synthesis Methods. 9(2). 148–162. 20 indexed citations
9.
Davis, Sarah, Marrissa Martyn‐St James, Jean Sanderson, et al.. (2016). A systematic review and economic evaluation of bisphosphonates for the prevention of fragility fractures. Health Technology Assessment. 20(78). 1–406. 57 indexed citations
10.
Pandor, Abdullah, Tim Gomersall, John Stevens, et al.. (2013). Remote monitoring after recent hospital discharge in patients with heart failure: a systematic review and network meta-analysis. Heart. 99(23). 1717–1726. 109 indexed citations
12.
Stevens, John, et al.. (2012). A Novel Sintered Porous Micromixer for the Effective Mixing of Biologics and Scale Model Investigation of Micromixing Mechanisms. Journal of Applied Fluid Mechanics. 5(4). 3 indexed citations
13.
Carroll, Christopher, John Stevens, Joanna Leaviss, et al.. (2012). Heart-type fatty acid binding protein as an early marker for myocardial infarction: systematic review and meta-analysis. Emergency Medicine Journal. 30(4). 280–286. 35 indexed citations
14.
Eto, Joseph H., et al.. (2009). Overview of the CERTS Microgrid laboratory Test Bed. 1–1. 58 indexed citations
15.
Nixon, Richard M., Anthony O’Hagan, Jeremy E. Oakley, et al.. (2009). The Rheumatoid Arthritis Drug Development Model: a case study in Bayesian clinical trial simulation. Pharmaceutical Statistics. 8(4). 371–389. 17 indexed citations
16.
Cook, Paul A., et al.. (2003). Comparing the effects of femoral nerve block versus femoral and sciatic nerve block on pain and opiate consumption after total knee arthroplasty. The Journal of Arthroplasty. 18(5). 583–586. 62 indexed citations
17.
Cooper, David A., José M. Gatell, Susanne Kroon, et al.. (1993). Zidovudine in Persons with Asymptomatic HIV Infection and CD4+ Cell Counts Greater than 400 per Cubic Millimeter. New England Journal of Medicine. 329(5). 297–303. 161 indexed citations
18.
Jones, Gary J., et al.. (1985). Design considerations for large photovoltaic systems. Photovoltaic Specialists Conference. 1307–1313. 2 indexed citations
19.
Stevens, John & Thomas S. Key. (1984). The utility interface - Can state-of-the-art power conditioners alleviate our concerns. 2 indexed citations
20.
Thomas, Michael G., John Stevens, Gary J. Jones, & P. Anderson. (1984). The effect of photovoltaic systems on utility operations. 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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