Walter Racugno

644 total citations
24 papers, 436 citations indexed

About

Walter Racugno is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Walter Racugno has authored 24 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Artificial Intelligence. Recurrent topics in Walter Racugno's work include Statistical Methods and Bayesian Inference (17 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Inference (9 papers). Walter Racugno is often cited by papers focused on Statistical Methods and Bayesian Inference (17 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Inference (9 papers). Walter Racugno collaborates with scholars based in Italy, Spain and India. Walter Racugno's co-authors include Laura Ventura, Elı́as Moreno, Francesco Pauli, Luca Greco, Alessandra Salvan, Monica Musio, Paolo Girardi, Stefano Cabras and Nicola Sartori and has published in prestigious journals such as Journal of the American Statistical Association, American Mathematical Monthly and Computational Statistics & Data Analysis.

In The Last Decade

Walter Racugno

22 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Racugno Italy 10 364 110 90 58 25 24 436
Takemi Yanagimoto Japan 12 299 0.8× 118 1.1× 40 0.4× 103 1.8× 30 1.2× 61 453
M. B. Rajarshi India 10 268 0.7× 77 0.7× 124 1.4× 41 0.7× 25 1.0× 31 392
Fahimah Al-Awadhi Kuwait 9 260 0.7× 77 0.7× 142 1.6× 37 0.6× 22 0.9× 24 353
Miguel A. Gómez–Villegas Spain 11 246 0.7× 109 1.0× 70 0.8× 35 0.6× 22 0.9× 30 376
Xiaoqian Sun United States 10 215 0.6× 65 0.6× 37 0.4× 29 0.5× 81 3.2× 27 319
Bert van Es Netherlands 12 225 0.6× 105 1.0× 38 0.4× 35 0.6× 20 0.8× 23 341
H. W. Peers United Kingdom 7 421 1.2× 125 1.1× 83 0.9× 41 0.7× 29 1.2× 11 489
Federico J. O'Reilly Mexico 11 213 0.6× 75 0.7× 85 0.9× 39 0.7× 13 0.5× 34 292
Alessandra Salvan Italy 9 248 0.7× 57 0.5× 42 0.5× 26 0.4× 75 3.0× 37 387
Klaus L. P. Vasconcellos Brazil 12 410 1.1× 79 0.7× 98 1.1× 58 1.0× 39 1.6× 33 537

Countries citing papers authored by Walter Racugno

Since Specialization
Citations

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

Fields of papers citing papers by Walter Racugno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter Racugno. 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 Walter Racugno. The network helps show where Walter Racugno may publish in the future.

Co-authorship network of co-authors of Walter Racugno

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Racugno. A scholar is included among the top collaborators of Walter Racugno 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 Walter Racugno. Walter Racugno 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.
Musio, Monica, et al.. (2024). A new Bayesian discrepancy measure. Statistical Methods & Applications. 33(2). 381–405.
3.
Ventura, Laura, et al.. (2013). Default Bayesian inference for the consensus mean in inter-laboratory studies. Research Padua Archive (University of Padua). 1–6.
4.
Ventura, Laura, et al.. (2013). A note on approximate Bayesian credible sets based on modified loglikelihood ratios. Statistics & Probability Letters. 83(11). 2467–2472. 3 indexed citations
5.
Ventura, Laura & Walter Racugno. (2011). Recent advances on Bayesian inference for $P(X < Y)$. Bayesian Analysis. 6(3). 411–428. 21 indexed citations
6.
Ventura, Laura & Walter Racugno. (2011). Recent advances on Bayesian inference for $P(X < Y)$. Bayesian Analysis. 6(3). 29 indexed citations
7.
Ventura, Laura & Walter Racugno. (2010). A note on the relationships between Bayesian and non-Bayesian predictive inference. Research Padua Archive (University of Padua). 1–8. 1 indexed citations
8.
Racugno, Walter, Alessandra Salvan, & Laura Ventura. (2010). Bayesian Analysis in Regression Models Using Pseudo-Likelihoods. Communication in Statistics- Theory and Methods. 39(19). 3444–3455. 8 indexed citations
9.
Greco, Luca, Walter Racugno, & Laura Ventura. (2007). Robust likelihood functions in Bayesian inference. Journal of Statistical Planning and Inference. 138(5). 1258–1270. 30 indexed citations
10.
Racugno, Walter, Alessandra Salvan, & Laura Ventura. (2005). On the use of pseudo-likelihoods in Bayesian variable selection. Padua@research (University of Padova). 1 indexed citations
11.
Moreno, Elı́as, et al.. (2003). Bayesian Inference Under Partial Prior Information. Scandinavian Journal of Statistics. 30(3). 565–580. 9 indexed citations
12.
Racugno, Walter, et al.. (2000). Bayesian Model Selection Approach to Analysis of Variance Under Heteroscedasticity. Journal of the Royal Statistical Society Series D (The Statistician). 49(4). 495–502. 26 indexed citations
13.
Moreno, Elı́as, et al.. (1999). Default Bayesian analysis of the Behrens–Fisher problem. Journal of Statistical Planning and Inference. 81(2). 323–333. 27 indexed citations
14.
Moreno, Elı́as, et al.. (1998). An Intrinsic Limiting Procedure for Model Selection and Hypotheses Testing. Journal of the American Statistical Association. 93(444). 1451–1460. 93 indexed citations
15.
Moreno, Elı́as, et al.. (1998). An Intrinsic Limiting Procedure for Model Selection and Hypotheses Testing. Journal of the American Statistical Association. 93(444). 1451–1451. 14 indexed citations
16.
Racugno, Walter, et al.. (1995). Multiple Bayes Factors for Testing Hypotheses. Journal of the American Statistical Association. 90(429). 213–219. 8 indexed citations
17.
Racugno, Walter, et al.. (1995). Multiple Bayes Factors for Testing Hypotheses. Journal of the American Statistical Association. 90(429). 213–213. 4 indexed citations
18.
Racugno, Walter, et al.. (1994). Robust Bayesian Analysis in Analysis of Variance and the χ 2 -Test by Using Marginal Likelihoods. Journal of the Royal Statistical Society Series D (The Statistician). 43(1). 191–191. 8 indexed citations
19.
Racugno, Walter, et al.. (1990). A Marginal Likelihood Approach to Analysis of Variance. Journal of the Royal Statistical Society Series D (The Statistician). 39(4). 415–415. 5 indexed citations
20.
Racugno, Walter. (1959). Probability and Statistics. American Mathematical Monthly. 66(10). 911–911. 82 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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