Daniel G. Brown

48.8k citations
324 papers · 13.2k · 3 hit papers · h-index 57

Impact in

Papers in

Daniel G. Brown

309 papers receiving 12.2k citations

Daniel G. Brown's Hit Papers

Mapping Community Determinants of Heat Vulnerability 2009 · 629 citations
6290+8+16Years since publication200400600

Peers

Daniel G. Brown
Comparison fields: 5 of 217
  • Global and Planetary Change 5.5k
  • Health, Toxicology and Mutagenesis 1.8k
  • Transportation 880
  • Ecological Modeling 461
  • Environmental Engineering 1.4k
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Citations per year

Countries citing papers authored by Daniel G. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 324 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RURAL LAND-USE TRENDS IN THE CONTERMINOUS UNITED STATES, 1950–2000
Hit paper breakdown →
2005648
2
Using neural networks and GIS to forecast land use changes: a Land Transformation Model
Hit paper breakdown →
2002638
3
Mapping Community Determinants of Heat Vulnerability
Hit paper breakdown →
2009629
4 1961397
5 2005323
6 2007271
7 2005263
8 1975263
9 2000245
10 2016230
11 1956229
12 2007228
13 2007219
14 2009209
15 2011184
16 1994179
17 1970179
18 2016169
19 2006166
20 2019155

About Daniel G. Brown

Daniel G. Brown is a scholar working on Global and Planetary Change, Ecology, Artificial Intelligence, Economics and Econometrics and Environmental Engineering, having authored 324 papers that have together received 13.2k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (80 papers), Remote Sensing in Agriculture (29 papers), Conservation, Biodiversity, and Resource Management (26 papers), Algorithms and Data Compression (15 papers), Urban Green Space and Health (13 papers), Genomics and Phylogenetic Studies (12 papers), Housing Market and Economics (11 papers) and Remote Sensing and LiDAR Applications (11 papers). The work is most often cited by research in Global and Planetary Change (5.5k citations), Health, Toxicology and Mutagenesis (1.8k citations), Transportation (880 citations), Ecological Modeling (461 citations) and Environmental Engineering (1.4k citations). Daniel G. Brown has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Derek T. Robinson, Bryan C. Pijanowski, Rick Riolo, W. W. Peterson, David M. Theobald, William Rand, Jiunn-Der Duh, Kenneth M. Johnson, Thomas R. Loveland and Bradley A. Shellito. Their work appears in journals such as Computers Environment and Urban Systems, Environmental Modelling & Software, Landscape Ecology, Radiation Research and Landscape and Urban Planning.

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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