Stefan D. Leigh

13.0k citations
77 papers · 5.8k indexed · 4 hit papers · h-index 23

Stefan D. Leigh

74 papers receiving 5.4k citations

Hit Papers

SP 800-22 Rev. 1a. A Statistical Test S...334199120262002201450010001.5k2.0k2.5k

Peers

Stefan D. Leigh
Comparison fields: 5 of 218
  • Analytical Chemistry 700
  • Statistics, Probability and Uncertainty 313
  • Health, Toxicology and Mutagenesis 446
  • Control and Systems Engineering 733
  • Computer Networks and Communications 639
Replace Zigang Lu with:
Zigang Lu China
Lynne J. Williams Canada
Louis Wehenkel Belgium
Colin Goodall United States
Stephan R. Sain United States
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Tin Kam Ho United States
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Stefan D. Leigh

Since Specialization
Citations

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

Fields of papers citing papers by Stefan D. Leigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Stefan D. Leigh, 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 Stefan D. Leigh Line = papers co-authored together Stefan D. Leigh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201639
2 20144
3 20132
4 201218
5 201125
6 20104
7 200980
8
Relationship between dispersion metric and properties of PMMA/SWNT nanocomposites *
20074
9 200713
10 200753
11 200612
12 200574
13 20050
14 20045
15 20044
16 20033
17 200338
18 20005
19 20003
20 199715

About Stefan D. Leigh

Stefan D. Leigh is a scholar working on Statistics, Probability and Uncertainty, Health, Toxicology and Mutagenesis and Radiation, having authored 77 papers that have together received 5.8k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (12 papers), Scientific Measurement and Uncertainty Evaluation (9 papers), Concrete and Cement Materials Research (6 papers), Pesticide Residue Analysis and Safety (6 papers), Air Quality and Health Impacts (5 papers), Mechanical Behavior of Composites (5 papers), Fiber-reinforced polymer composites (4 papers) and Nuclear Physics and Applications (4 papers). The work is most often cited by research in Analytical Chemistry (700 citations), Statistics, Probability and Uncertainty (313 citations) and Health, Toxicology and Mutagenesis (446 citations). Stefan D. Leigh has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include J. Edward Jackson, Alberto Leon‐Garcia, Michele M. Schantz, Stephen A. Wise, Andrew L. Rukhin, Márk Vangel, Jennifer M. Keller, N. Alan Heckert, Miles E. Smid and James F. Dray. Their work appears in journals such as Environmental Science & Technology, Journal of Applied Physics and Analytical Chemistry.

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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