Andrew Cliff

111 papers receiving 5.8k citations

Hit Papers

Spatial Processes, Models and Applications 1983 · 2.1k citations
2.1k198020261995201050010001.5k2.0k

Peers

Andrew Cliff
Comparison fields: 5 of 190
  • Space and Planetary Science 161
  • Modeling and Simulation 528
  • Economics and Econometrics 2.5k
  • Transportation 480
  • Geography, Planning and Development 257
Replace Arthur Getis with:
Arthur Getis United States
J. Keith Ord United States
Luís M. A. Bettencourt United States
Waldo Tobler United States
Stefan Lang Austria
Peter Haggett United Kingdom
Anthony C. Gatrell United Kingdom
Martin Charlton United Kingdom
Trevor Bailey United Kingdom
Edzer Pebesma Germany
Andrew Cliff relative to Arthur Getis United States Arthur Getis's profile →
Citations per field
00.5×4.9×
Arthur Getis · 1×
Citations per year

Countries citing papers authored by Andrew Cliff

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Cliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 20173
3 20173
4 20150
5 20135
6 201227
7
Controlling the geographical spread of infectious disease: plague in Italy, 1347-1851.
200912
8 20068
9 200622
10 200540
11 200446
12 200452
13 19992
14 199813
15 199211
16 199221
17 199166
18 198216
19
The effects of spatial autocorrelation on geographical modelling
19812
20 1975103

About Andrew Cliff

Andrew Cliff is a scholar working on Modeling and Simulation, Endocrinology, Public Health, Environmental and Occupational Health, Economics and Econometrics and Agronomy and Crop Science, having authored 116 papers that have together received 6.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (25 papers), Zoonotic diseases and public health (23 papers), Spatial and Panel Data Analysis (16 papers), Yersinia bacterium, plague, ectoparasites research (13 papers), Vibrio bacteria research studies (12 papers), Data-Driven Disease Surveillance (10 papers), Regional Economics and Spatial Analysis (10 papers) and Regional Economic and Spatial Analysis (9 papers). The work is most often cited by research in Space and Planetary Science (161 citations), Modeling and Simulation (528 citations), Economics and Econometrics (2.5k citations), Transportation (480 citations) and Geography, Planning and Development (257 citations). Andrew Cliff has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include J. Keith Ord, Luc Anselin, Peter Haggett, Matthew Smallman‐Raynor, Neil Wrigley, Keith Ord, A.S.P. Frey, Chris Ryan, Ron Martin and Bernard Devereux. Their work appears in journals such as Journal of Historical Geography, Transactions of the Institute of British Geographers, Environment and Planning A Economy and Space, Geographical Analysis 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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