P. Nash

15 papers receiving 324 citations

Peers

P. Nash
Comparison fields: 5 of 58
  • Clinical Biochemistry 39
  • Numerical Analysis 34
  • Transportation 32
  • Management Information Systems 44
  • Industrial and Manufacturing Engineering 47
Replace Sylvain Perron with:
Sylvain Perron Canada
Annegret K. Wagler France
Manoel Campêlo Brazil
Juan R. González Spain
Gerold Jäger Germany
Leo Lopes United States
Mikhail Batsyn Russia
Ming Gao China
Feng Shi China
P. M. Dearing United States
P. Nash relative to Sylvain Perron Canada Sylvain Perron's profile →
Citations per field
00.5×7.3×
Sylvain Perron · 1×
Citations per year

Countries citing papers authored by P. Nash

Since Specialization
Citations

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

Fields of papers citing papers by P. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202270
2 198355
3 198248
4 202244
5 197728
6 202326
7 198220
8 198215
9 198214
10 197610
11 20256
12 19776
13 20233
14 19823
15 20232
16
THE RAPID EXTINCTION OF FIRES IN HIGH-RACKED STORAGES
19721
17
Kick Start: better value, better bus services
20041
18
THE EXTINCTION OF FIRES IN STORAGES OF RACKED GOODS USING HIGH EXPANSION FOAM
19710
19 20040

About P. Nash

P. Nash is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management Information Systems and Automotive Engineering, having authored 19 papers that have together received 352 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Scheduling and Optimization Algorithms (5 papers), Advanced Queuing Theory Analysis (3 papers), CRISPR and Genetic Engineering (3 papers), Transportation and Mobility Innovations (2 papers), Logic, Reasoning, and Knowledge (2 papers), Urban Transport and Accessibility (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Clinical Biochemistry (39 citations), Numerical Analysis (34 citations), Transportation (32 citations), Management Information Systems (44 citations) and Industrial and Manufacturing Engineering (47 citations). P. Nash has collaborated with scholars based in United Kingdom, Germany and South Sudan. Frequent co-authors include Edward Anderson, Michal Minczuk, Richard Weber, Pedro Silva-Pinheiro, Lindsey Van Haute, André F. Perold, John Gittins, Andy Philpott, Christopher A. Powell and K. D. Glazebrook. Their work appears in journals such as Advances in Applied Probability, Journal of Applied Probability, EMBO Molecular Medicine, Nature Biomedical Engineering and Nature Communications.

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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