David Unwin

6.8k citations
108 papers · 4.5k · 2 hit papers · h-index 28

Impact in

Papers in

David Unwin

101 papers receiving 4.1k citations

David Unwin's Hit Papers

Geographic Information Analysis 2010 · 584 citations
5840+9+19Years since publication4008001.2k

Peers

David Unwin
Comparison fields: 5 of 180
  • Geography, Planning and Development 497
  • Global and Planetary Change 1.5k
  • Atmospheric Science 1.0k
  • Transportation 357
  • Environmental Engineering 443
Replace Nina Lam with:
Nina Lam United States
Stefan Lang Austria
Richard J. Chorley United Kingdom
Rachael McDonnell United Kingdom
Huadong Guo China
Sucharita Gopal United States
David Mark United States
George F. Jenks United States
Hannes Taubenböck Germany
Robert Haining United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David Unwin

Since Specialization
Citations

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

Fields of papers citing papers by David Unwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Unwin, 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 David Unwin Line = papers co-authored together David Unwin 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
Climate change 1995: The Science of Climate Change
Hit paper breakdown →
19971339
2
Geographic Information Analysis
Hit paper breakdown →
2010584
3 2001186
4 1996168
5 1994143
6 1968137
7 2000114
8 1994113
9 199699
10 198596
11 202078
12 199570
13 198064
14 199258
15 201955
16 200154
17 199849
18 202048
19 202145
20 198543

About David Unwin

David Unwin is a scholar working on Geography, Planning and Development, Physiology, Endocrinology, Diabetes and Metabolism, Economics and Econometrics and Signal Processing, having authored 108 papers that have together received 4.5k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (24 papers), Diet and metabolism studies (19 papers), Geography Education and Pedagogy (16 papers), Spatial and Panel Data Analysis (12 papers), Data Management and Algorithms (10 papers), Diet, Metabolism, and Disease (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and 3D Modeling in Geospatial Applications (7 papers). The work is most often cited by research in Geography, Planning and Development (497 citations), Global and Planetary Change (1.5k citations), Atmospheric Science (1.0k citations), Transportation (357 citations) and Environmental Engineering (443 citations). David Unwin has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include David O’Sullivan, Mitchel Langford, Ian Smalley, Chris Brunsdon, Mark Thurstain‐Goodwin, Peter Fisher, Jen Unwin, Hilary Hearnshaw, Peter F. Lawrence and A Kirwan. Their work appears in journals such as Journal of Geography in Higher Education, Geographical Journal, Computers & Geosciences, Journal of Glaciology and Progress in Human Geography.

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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