Nigel Martin

98 papers receiving 2.3k citations

Nigel Martin's Hit Papers

Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences 2015 · 282 citations
2820+4+8Years since publication100200300400

Peers

Nigel Martin
Comparison fields: 5 of 149
  • Infectious Diseases 809
  • Epidemiology 776
  • Strategy and Management 312
  • Molecular Medicine 90
  • Management Information Systems 138
Replace Charles M. Macal with:
Charles M. Macal United States
Ning Ma China
Tong Li China
Mingshu Wang China
William A. Fischer United States
Chang Won Lee South Korea
Abhijit Chaudhury India
John R. Hamilton United States
Daniel Metzger United States
Victor Chen Taiwan
Nigel Martin relative to Charles M. Macal United States Charles M. Macal's profile →
Citations per field
00.5×6.7×
Charles M. Macal · 1×
Citations per year

Countries citing papers authored by Nigel Martin

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A robust SNP barcode for typing Mycobacterium tuberculosis complex strains
Hit paper breakdown →
2014436
2
Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences
Hit paper breakdown →
2015282
3 2004102
4 200785
5 201275
6 201274
7 201466
8 200765
9 201460
10 200759
11 201156
12 201352
13 202045
14 201544
15 201741
16 201341
17 201540
18 201136
19 200934
20 202030

About Nigel Martin

Nigel Martin is a scholar working on Strategy and Management, Mechanical Engineering, Sociology and Political Science, Materials Chemistry and Electrical and Electronic Engineering, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include Intermetallics and Advanced Alloy Properties (10 papers), E-Government and Public Services (6 papers), Information Technology Governance and Strategy (6 papers), Titanium Alloys Microstructure and Properties (6 papers), Innovation and Knowledge Management (6 papers), Tuberculosis Research and Epidemiology (5 papers), Environmental and Social Impact Assessments (5 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Infectious Diseases (809 citations), Epidemiology (776 citations), Strategy and Management (312 citations), Molecular Medicine (90 citations) and Management Information Systems (138 citations). Nigel Martin has collaborated with scholars based in Australia, United Kingdom and United Arab Emirates. Frequent co-authors include John Rice, Sumit Lodhia, Taane G. Clark, Francesc Coll, João Perdigão, Miguel Viveiros, Arnab Pain, José Afonso Guerra‐Assunção, Isabel Portugal and Ruth McNerney. Their work appears in journals such as Journal of Management & Organization, Journal of Cleaner Production, Intermetallics, Energy Policy and Journal of the Association for Information Systems.

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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