Michael R. Stoline

1.3k citations
23 papers · 1.0k indexed · h-index 12
Topics
Advanced Statistical Methods and Models (9 papers)Statistical Methods and Bayesian Inference (5 papers)Water Quality and Resources Studies (4 papers)
Partner nations
United StatesNorway

In The Last Decade

Michael R. Stoline

21 papers receiving 915 citations

Peers

Michael R. Stoline
Comparison fields: 5 of 166
  • Statistics and Probability 178
  • Economics and Econometrics 157
  • Management Science and Operations Research 124
  • Ecology 104
  • Finance 90
Replace John W. Emerson with:
John W. Emerson United States
Ruth Z. Gold United States
Phil Woodward United States
Richard H. Lindeman United States
Vlasios Voudouris United Kingdom
Mordecai Ezekiel United States
L. I. Pettit United Kingdom
I. G. Evans United Kingdom
Walter Vandaele Netherlands
Fernanda De Bastiani Brazil
Michael R. Stoline relative to John W. Emerson United States John W. Emerson's profile →
Citations per field
00.5×4.3×
John W. Emerson · 1×
Citations per year

Countries citing papers authored by Michael R. Stoline

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Stoline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Stoline. 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 Michael R. Stoline. The network helps show where Michael R. Stoline may publish in the future.

Co-authorship network of co-authors of Michael R. Stoline

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Stoline. A scholar is included among the top collaborators of Michael R. Stoline 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 Michael R. Stoline. Michael R. Stoline 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 32
2 6
3 9
4 1
5 1
6 1
7 12
8 9
9 11
10 4
11 2
12 11
13 2
14 220
15 1
16 11
17 5
18 172
19 20
20 270

About Michael R. Stoline

Michael R. Stoline is a scholar working on Statistics and Probability, Management Science and Operations Research and Water Science and Technology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Water Quality and Resources Studies (4 papers). The work is most often cited by research in Statistics and Probability (178 citations), Management Science and Operations Research (124 citations) and Finance (90 citations). Michael R. Stoline has collaborated with scholars based in United States and Norway. Frequent co-authors include Emil Spjøtvoll, Hans Ury, Charles H. Goldsmith, Edward R. Crowther, Michael J. Barcelona, J. Michael Menke, Ronald J. Feise, Dale E. Rowe, Richard J. Cook and Bradley E. Huitema. Their work appears in journals such as Psychological Bulletin, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

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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