Michael P. Wiper

1.4k total citations
40 papers, 947 citations indexed

About

Michael P. Wiper is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Michael P. Wiper has authored 40 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 14 papers in Management Science and Operations Research and 10 papers in Artificial Intelligence. Recurrent topics in Michael P. Wiper's work include Bayesian Methods and Mixture Models (10 papers), Statistical Distribution Estimation and Applications (10 papers) and Advanced Queuing Theory Analysis (9 papers). Michael P. Wiper is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Statistical Distribution Estimation and Applications (10 papers) and Advanced Queuing Theory Analysis (9 papers). Michael P. Wiper collaborates with scholars based in Spain, United Kingdom and United States. Michael P. Wiper's co-authors include M. Concepción Ausín, Ali Sarhadi, David Rı́os Insua, Fabrizio Ruggeri, Rosa E. Lillo, Danielle Touma, Noah S. Diffenbaugh, Helena Veiga, Donald H. Burn and Jorge Galán and has published in prestigious journals such as Scientific Reports, Water Resources Research and European Journal of Operational Research.

In The Last Decade

Michael P. Wiper

40 papers receiving 913 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael P. Wiper Spain 17 300 229 186 171 106 40 947
Ivan Kojadinovic France 22 312 1.0× 628 2.7× 360 1.9× 578 3.4× 272 2.6× 52 1.8k
M. Concepción Ausín Spain 12 293 1.0× 96 0.4× 112 0.6× 62 0.4× 112 1.1× 25 656
Chongfu Huang China 15 207 0.7× 75 0.3× 138 0.7× 143 0.8× 25 0.2× 73 912
Marius Hofert Canada 18 202 0.7× 413 1.8× 214 1.2× 279 1.6× 312 2.9× 71 1.3k
Martin Sköld Sweden 18 165 0.6× 165 0.7× 169 0.9× 44 0.3× 57 0.5× 49 1.2k
Robin K. S. Hankin New Zealand 18 197 0.7× 102 0.4× 117 0.6× 45 0.3× 44 0.4× 56 923
Rafael Rumí Spain 14 274 0.9× 87 0.4× 507 2.7× 127 0.7× 37 0.3× 43 1.2k
Richard D. De Veaux United States 13 115 0.4× 120 0.5× 176 0.9× 58 0.3× 105 1.0× 37 936
Bruno Rémillard Canada 21 729 2.4× 776 3.4× 261 1.4× 281 1.6× 781 7.4× 96 2.8k
Ishay Weissman Israel 16 371 1.2× 424 1.9× 133 0.7× 151 0.9× 236 2.2× 52 1.3k

Countries citing papers authored by Michael P. Wiper

Since Specialization
Citations

This map shows the geographic impact of Michael P. 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 P. 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 P. Wiper more than expected).

Fields of papers citing papers by Michael P. Wiper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Wiper

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Wiper. A scholar is included among the top collaborators of Michael P. Wiper 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 P. Wiper. Michael P. Wiper 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
1.
Sarhadi, Ali, et al.. (2024). Climate Change Contributions to Increasing Compound Flooding Risk in New York City. Bulletin of the American Meteorological Society. 105(2). E337–E356. 13 indexed citations
2.
Veiga, Helena, et al.. (2019). Efficiency evaluation of hotel chains: a Spanish case study. SERIEs. 10(2). 115–139. 24 indexed citations
3.
Sarhadi, Ali, M. Concepción Ausín, Michael P. Wiper, Danielle Touma, & Noah S. Diffenbaugh. (2018). Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions. Science Advances. 4(11). eaau3487–eaau3487. 192 indexed citations
4.
Forrest, David, et al.. (2018). Bayesian forecasting of UEFA Champions League under alternative seeding regimes. International Journal of Forecasting. 35(2). 722–732. 23 indexed citations
5.
Sarhadi, Ali, M. Concepción Ausín, & Michael P. Wiper. (2016). A New Time-varying Concept of Risk in a Changing Climate. Scientific Reports. 6(1). 35755–35755. 24 indexed citations
6.
Ramírez‐Cobo, Pepa, Rosa E. Lillo, & Michael P. Wiper. (2016). Bayesian Analysis of the Stationary MAP2. Bayesian Analysis. 12(4). 7 indexed citations
7.
Galán, Jorge, Helena Veiga, & Michael P. Wiper. (2013). Bayesian estimation of inefficiency heterogeneity in stochastic frontier models. Journal of Productivity Analysis. 42(1). 85–101. 23 indexed citations
8.
Carnicero, José Antonio Carranza, M. Concepción Ausín, & Michael P. Wiper. (2013). Non-parametric copulas for circular–linear and circular–circular data: an application to wind directions. Stochastic Environmental Research and Risk Assessment. 27(8). 1991–2002. 40 indexed citations
9.
Ramírez‐Cobo, Pepa, Rosa E. Lillo, & Michael P. Wiper. (2010). Nonidentifiability of the Two-State Markovian Arrival Process. Journal of Applied Probability. 47(3). 630–649. 23 indexed citations
10.
Ramírez‐Cobo, Pepa, Rosa E. Lillo, Simon Wilson, & Michael P. Wiper. (2010). Bayesian inference for double Pareto lognormal queues. The Annals of Applied Statistics. 4(3). 20 indexed citations
11.
Ausín, M. Concepción, Michael P. Wiper, & Rosa E. Lillo. (2009). Bayesian estimation of finite time ruin probabilities. Applied Stochastic Models in Business and Industry. 25(6). 787–805. 7 indexed citations
12.
Wiper, Michael P., F. J. Girón, & Arthur Pewsey. (2008). Objective Bayesian Inference for the Half-Normal and Half- t Distributions. Communication in Statistics- Theory and Methods. 37(20). 3165–3185. 24 indexed citations
13.
Lillo, Rosa E., et al.. (2008). Bayesian Analysis of a Queueing System with a Long-Tailed Arrival Process. Communications in Statistics - Simulation and Computation. 37(4). 697–712. 15 indexed citations
14.
Ausín, M. Concepción, Rosa E. Lillo, & Michael P. Wiper. (2007). Bayesian control of the number of servers in a queueing system. Journal of Statistical Planning and Inference. 137(10). 3043–3057. 11 indexed citations
15.
Marín, J. Miguel, et al.. (2005). Using Weibull Mixture Distributions to Model Heterogeneous Survival Data. Communications in Statistics - Simulation and Computation. 34(3). 673–684. 30 indexed citations
16.
Wiper, Michael P., L. I. Pettit, & K. D. S. Young. (2000). Bayesian inference for a Lanchester type combat model. Naval Research Logistics (NRL). 47(7). 541–558. 13 indexed citations
17.
Wiper, Michael P., David Rı́os Insua, & Robert M. Hierons. (1998). Bayesian inference and optimal release times: for two software failure models. Hispana. 92(4). 323–328. 1 indexed citations
18.
Hierons, Robert M. & Michael P. Wiper. (1997). Estimation of failure rate using random and partition testing. Software Testing Verification and Reliability. 7(3). 153–164. 13 indexed citations
19.
Wiper, Michael P. & Simon French. (1995). Combining experts' opinions using a normal‐wishart model. Journal of Forecasting. 14(1). 25–34. 9 indexed citations
20.
Wiper, Michael P. & L. I. Pettit. (1994). Bayesian Estimation of the Binomial Parameter n. Journal of the Royal Statistical Society Series C (Applied Statistics). 43(1). 233–233. 2 indexed citations

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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