Nigel Stallard

9.6k citations
193 papers · 4.5k · h-index 36

Impact in

Papers in

Nigel Stallard

189 papers receiving 4.4k citations

Peers

Nigel Stallard
Comparison fields: 5 of 169
  • Statistics and Probability 1.9k
  • Management Science and Operations Research 1.1k
  • Statistics, Probability and Uncertainty 197
  • Economics and Econometrics 638
  • Applied Psychology 74
Replace Thomas Jaki with:
Thomas Jaki United Kingdom
Adrian Mander United Kingdom
Christy Chuang‐Stein United States
Gernot Wassmer Germany
Dean Follmann United States
Susan Todd United Kingdom
Sally Hunsberger United States
Jen‐pei Liu Taiwan
Walter Lehmacher Germany
Fan Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Nigel Stallard

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Stallard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nigel Stallard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nigel Stallard Line = papers co-authored together Nigel Stallard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016201
2 2001176
3 2010164
4 2003135
5 2019126
6 2012121
7 2006119
8 200882
9 201181
10 201581
11 201877
12 201071
13 201269
14 200963
15 200763
16 202161
17 201260
18 200860
19 200760
20 199859

About Nigel Stallard

Nigel Stallard is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Pathology and Forensic Medicine and Molecular Biology, having authored 193 papers that have together received 4.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (101 papers), Optimal Experimental Design Methods (55 papers), Health Systems, Economic Evaluations, Quality of Life (38 papers), Advanced Causal Inference Techniques (20 papers), Statistical Methods and Inference (11 papers), Statistical Methods and Bayesian Inference (11 papers), Biosimilars and Bioanalytical Methods (7 papers) and Pesticide Residue Analysis and Safety (6 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Management Science and Operations Research (1.1k citations), Statistics, Probability and Uncertainty (197 citations), Economics and Econometrics (638 citations) and Applied Psychology (74 citations). Nigel Stallard has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Susan Todd, Tim Friede, John Whitehead, Thomas Hamborg, Sarah Stewart‐Brown, Peter Kimani, Nick Parsons, Anne Whitehead, William F. Rosenberger and D. Simkiss. Their work appears in journals such as Statistics in Medicine, Trials, Journal of Biopharmaceutical Statistics, Human & Experimental Toxicology and Biometrical Journal.

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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