Thomas E. Obremski

2.5k citations
13 papers · 1.6k · 1 hit paper · h-index 8

Impact in

Papers in

Thomas E. Obremski

13 papers receiving 1.5k citations

Thomas E. Obremski's Hit Papers

Practical Nonparametric Statistics 1981 · 961 citations
9610+15+30Years since publication250500750

Peers

Thomas E. Obremski
Comparison fields: 5 of 204
  • Ecology 228
  • Statistics and Probability 71
  • Nature and Landscape Conservation 105
  • Global and Planetary Change 179
  • Water Science and Technology 113
Replace Jerry L. Hintze with:
Jerry L. Hintze United States
Wayne A. Larsen United States
A. D. Gordon United Kingdom
Alain Morineau United Kingdom
E. Limpert Switzerland
Bjørn‐Helge Mevik Norway
J. O. Rawlings United States
Matthew Goldstein United States
Nadia Ghazzali Canada
Josef Perktold United States
Thomas E. Obremski relative to Jerry L. Hintze United States Jerry L. Hintze's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas E. Obremski

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Obremski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Obremski. 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 Thomas E. Obremski. The network helps show where Thomas E. Obremski may publish in the future.

Co-authors

The 5 scholars most cited alongside Thomas E. Obremski, 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 Thomas E. Obremski Line = papers co-authored together Thomas E. Obremski links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Practical Nonparametric Statistics
Hit paper breakdown →
1981961
2 1984277
3 1981153
4 1983110
5 198558
6 198228
7 198427
8 198910
9 19827
10 19843
11 19852
12
Statistics for Management (2nd Ed.)
20121
13 19791

About Thomas E. Obremski

Thomas E. Obremski is a scholar working on Statistics and Probability, Applied Mathematics, Infectious Diseases, Organic Chemistry and Surgery, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (1 paper), Statistics Education and Methodologies (1 paper), Statistical and numerical algorithms (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Ecology (228 citations), Statistics and Probability (71 citations), Nature and Landscape Conservation (105 citations), Global and Planetary Change (179 citations) and Water Science and Technology (113 citations). Thomas E. Obremski has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard I. Levin, Richard L. Scheaffer, Peter W Jones, Donald A. Berry and Bernard W. Lindgren. Their work appears in journals such as Journal of Quality Technology, Technometrics 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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