Nigel Martin

104 papers receiving 2.6k citations

Nigel Martin's Hit Papers

Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences 2015 · 323 citations
3230+4+8Years since publication100200300400500

Peers

Nigel Martin
Comparison fields: 5 of 150
  • Infectious Diseases 891
  • Strategy and Management 319
  • Epidemiology 619
  • Management Information Systems 169
  • Molecular Medicine 84
Replace Ronan Doyle with:
Ronan Doyle United Kingdom
Ning Ma China
William A. Fischer United States
Chang Won Lee South Korea
John F. O’Connell United States
Patricia A H Williams Australia
Jesús Palomo Spain
Daniel Metzger United States
Dilly O. C. Anumba United Kingdom
Thomas Rose Germany
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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 108 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 →
2014500
2
Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences
Hit paper breakdown →
2015323
3 2004121
4 2007106
5 201279
6 201276
7 201475
8 201465
9 200764
10 200763
11 201159
12 202057
13 201353
14 201545
15 201545
16 201741
17 201139
18 201339
19 200936
20 201235

About Nigel Martin

Nigel Martin is a scholar working on Strategy and Management, Management Information Systems, Information Systems and Management, Information Systems and Communication, having authored 108 papers that have together received 2.7k indexed citations. Recurring topics across this work include Intermetallics and Advanced Alloy Properties (10 papers), Information Technology Governance and Strategy (7 papers), Titanium Alloys Microstructure and Properties (7 papers), E-Government and Public Services (6 papers), Innovation and Knowledge Management (6 papers), Data Quality and Management (5 papers), Environmental and Social Impact Assessments (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Infectious Diseases (891 citations), Strategy and Management (319 citations), Epidemiology (619 citations), Management Information Systems (169 citations) and Molecular Medicine (84 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 Gregory Clark, Francesc Coll, Isabel Portugal, Ruth McNerney, João Perdigão, Miguel Viveiros, José Afonso Guerra‐Assunção and Arnab Pain. Their work appears in journals such as Journal of Cleaner Production, Journal of Management & Organization, Energy Policy, Journal of the Association for Information Systems and Intermetallics.

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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