Stephen L. Rathbun

6.4k citations
84 papers · 4.7k indexed · 2 hit papers · h-index 26
Topics
Air Quality and Health Impacts (7 papers)Statistical Methods and Bayesian Inference (7 papers)Ecology and Vegetation Dynamics Studies (6 papers)
Partner nations
United StatesPeruChina

In The Last Decade

Stephen L. Rathbun

83 papers receiving 4.4k citations

Hit Papers

Interpolation of Spatial Data: Some Theory for Kriging2000202620082017200020014008001.2k

Peers

Stephen L. Rathbun
Comparison fields: 5 of 192
  • Ecology 1.1k
  • Nature and Landscape Conservation 812
  • Global and Planetary Change 773
  • Environmental Engineering 766
  • Artificial Intelligence 439
Replace Helmut Küchenhoff with:
Helmut Küchenhoff Germany
Andrew P. Robinson Australia
Nicky Best United Kingdom
Paul W. Mielke United States
Philip M. Dixon United States
D. Collett United Kingdom
Thomas M. Loughin United States
Robert A. Rigby United Kingdom
Lance A. Waller United States
D. Stasinopoulos United Kingdom
Stephen L. Rathbun relative to Helmut Küchenhoff Germany Helmut Küchenhoff's profile →
Citations per field
00.5×4.3×
Helmut Küchenhoff · 1×
Citations per year

Countries citing papers authored by Stephen L. Rathbun

Since Specialization
Citations

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

Fields of papers citing papers by Stephen L. Rathbun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen L. Rathbun. 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 Stephen L. Rathbun. The network helps show where Stephen L. Rathbun may publish in the future.

Co-authorship network of co-authors of Stephen L. Rathbun

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Rathbun. A scholar is included among the top collaborators of Stephen L. Rathbun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen L. Rathbun. Stephen L. Rathbun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 5
4 6
5 2
6 18
7 33
8 18
9 7
10 6
11 20
12 21
13 179
14 25
15 11
16 3
17 13
18 10
19 2
20 1

About Stephen L. Rathbun

Stephen L. Rathbun is a scholar working on Applied Psychology, Statistics and Probability and Occupational Therapy, having authored 84 papers that have together received 4.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Statistical Methods and Bayesian Inference (7 papers) and Ecology and Vegetation Dynamics Studies (6 papers). The work is most often cited by research in Nature and Landscape Conservation (812 citations), Environmental Engineering (766 citations) and Ecology (1.1k citations). Stephen L. Rathbun has collaborated with scholars based in United States, Peru and China. Frequent co-authors include Michael L. Stein, Gregory W. Evans, William Platt, William B. Whitman, Michelle Furlong, David R. Singleton, Frances C. James, Noel Cressie, Luke P. Naeher and Christien H. Ettema. Their work appears in journals such as Circulation, Journal of the American Statistical Association and PLoS ONE.

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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