Nigel Brown

7.4k citations
34 papers · 655 · h-index 12

Impact in

Papers in

Nigel Brown

28 papers receiving 569 citations

Peers

Nigel Brown
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 241
  • Archeology 9
  • Parasitology 50
  • Space and Planetary Science 10
  • Paleontology 36
Replace Raquel Sampaio Florêncio with:
Raquel Sampaio Florêncio Brazil
Francis C. Dane United States
Wen Yang China
Peyman Namdar Iran
Susan M. Campbell United States
Douglas GJ McKechnie United Kingdom
Rongxin He China
Ana E. Núñez United States
Annie Wong United States
Joanne Noone United States
Nigel Brown relative to Raquel Sampaio Florêncio Brazil Raquel Sampaio Florêncio's profile →
Citations per field
00.5×10×14.2×
Raquel Sampaio Florêncio · 1×
Citations per year

Countries citing papers authored by Nigel Brown

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999208
2 199960
3 199754
4 200449
5 199938
6 201137
7 200030
8 198820
9 200114
10 200514
11 200312
12 199911
13 200510
14 200210
15
Variable tuition fees in England : assessing their impact on students and higher education institutions : a first report
200710
16 20069
17 19888
18 20178
19
Research and Archaeology: a Framework for the Eastern Counties 2. research agenda and strategy
20007
20 20006

About Nigel Brown

Nigel Brown is a scholar working on Education, Cardiology and Cardiovascular Medicine, Paleontology, Anthropology and Archeology, having authored 34 papers that have together received 655 indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (5 papers), Cardiac Health and Mental Health (4 papers), Acute Myocardial Infarction Research (4 papers), Historical and Cultural Archaeology Studies (4 papers), Accounting Education and Careers (3 papers), Education Systems and Policy (3 papers), Evaluation of Teaching Practices (3 papers) and Management and Marketing Education (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (241 citations), Archeology (9 citations), Parasitology (50 citations), Space and Planetary Science (10 citations) and Paleontology (36 citations). Nigel Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Denis Pereira Gray, Tracey Young, M Melville, J R Hampton, A. M. Skene, James Munro, Allan M. Skene, C. Packham, Clive Weston and David Gray. Their work appears in journals such as Heart, Accounting Education, The Antiquaries Journal, British Journal of Clinical Pharmacology and Journal of Accounting Education.

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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