Michael Peter Wiper

1.5k citations
41 papers · 1.1k · h-index 18

Impact in

Papers in

Michael Peter Wiper

39 papers receiving 1.1k citations

Peers

Michael Peter Wiper
Comparison fields: 5 of 79
  • Statistics and Probability 194
  • Global and Planetary Change 265
  • Management Information Systems 119
  • Management Science and Operations Research 136
  • Software 41
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Jan Grandell Sweden
Jonathan Stroud United States
Vartan Choulakian Canada
Ernest M. Scheuer United States
P. S. Knopov Ukraine
Ivan Kojadinovic A France
Ulf Schepsmeier Germany
Lazaros S. Iliadis Greece
Andrew Glen United States
Eike Brechmann Germany
Michael Peter Wiper relative to Jan Grandell Sweden Jan Grandell's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Peter Wiper

Since Specialization
Citations

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

Fields of papers citing papers by Michael Peter Wiper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018212
2 2001113
3 2016105
4 201262
5 201343
6 201442
7 200533
8 199832
9 201630
10 201829
11 199828
12 200825
13 201925
14 200323
15 201023
16 201321
17 201020
18 201319
19 200718
20 202418

About Michael Peter Wiper

Michael Peter Wiper is a scholar working on Statistics and Probability, Management Information Systems, Management Science and Operations Research, Software and Global and Planetary Change, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (10 papers), Statistical Distribution Estimation and Applications (8 papers), Software Reliability and Analysis Research (5 papers), Forecasting Techniques and Applications (4 papers), Efficiency Analysis Using DEA (3 papers), Climate variability and models (3 papers), Probability and Statistical Research (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (194 citations), Global and Planetary Change (265 citations), Management Information Systems (119 citations), Management Science and Operations Research (136 citations) and Software (41 citations). Michael Peter Wiper has collaborated with scholars based in Spain, United Kingdom and Ireland. Frequent co-authors include M. Concepción Ausín, Ali Sarhadi, Fabrizio Ruggeri, David Rı́os Insua, Rosa Elvira Lillo, Danielle Touma, Noah S. Diffenbaugh, Helena Veiga, Donald H. Burn and Jorge Galán. Their work appears in journals such as Journal of Statistical Planning and Inference, European Journal of Operational Research, Monthly Notices of the Royal Astronomical Society, Journal of Forecasting and Bayesian Analysis.

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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