Isabella Verdinelli

3.8k total citations · 1 hit paper
38 papers, 2.3k citations indexed

About

Isabella Verdinelli is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Isabella Verdinelli has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 12 papers in Management Science and Operations Research and 10 papers in Computational Theory and Mathematics. Recurrent topics in Isabella Verdinelli's work include Optimal Experimental Design Methods (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Statistical Methods in Clinical Trials (7 papers). Isabella Verdinelli is often cited by papers focused on Optimal Experimental Design Methods (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Statistical Methods in Clinical Trials (7 papers). Isabella Verdinelli collaborates with scholars based in United States, Italy and United Kingdom. Isabella Verdinelli's co-authors include Kathryn Chaloner, Larry Wasserman, L. H. Wasserman, Christopher R. Genovese, Marco Perone-Pacifico, A. F. M. Smith, Heinz Neudecker, Jan R. Magnus, Joseph B. Kadane and Larry Wasserman and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Isabella Verdinelli

34 papers receiving 2.1k citations

Hit Papers

Bayesian Experimental Design: A Review 1995 2026 2005 2015 1995 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bayesian Experimental Design: A Review
    1995 1.1k citations Isabella Verdinelli et al. Statistical Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabella Verdinelli United States 18 779 768 568 495 470 38 2.3k
Alan Genz United States 24 653 0.8× 1.2k 1.5× 367 0.6× 574 1.2× 556 1.2× 55 3.6k
M. J. Bayarri Spain 21 497 0.6× 1.0k 1.4× 324 0.6× 621 1.3× 736 1.6× 54 2.6k
Sheldon M. Ross 3 620 0.8× 571 0.7× 203 0.4× 329 0.7× 310 0.7× 4 3.5k
Robert B. Gramacy United States 30 734 0.9× 427 0.6× 1.1k 2.0× 1.4k 2.8× 588 1.3× 91 3.4k
Donald Ylvisaker United States 17 931 1.2× 777 1.0× 990 1.7× 476 1.0× 788 1.7× 32 2.6k
Richard L. Dykstra United States 22 484 0.6× 1.5k 1.9× 299 0.5× 591 1.2× 406 0.9× 76 3.0k
Morris L. Eaton United States 22 446 0.6× 1.2k 1.5× 170 0.3× 536 1.1× 270 0.6× 71 2.3k
Tim Hesterberg United States 16 517 0.7× 579 0.8× 111 0.2× 767 1.5× 265 0.6× 30 2.9k
José M. Bernardo Spain 21 659 0.8× 1.9k 2.5× 154 0.3× 1.3k 2.7× 694 1.5× 66 4.1k
Paul Bratley Canada 16 663 0.9× 368 0.5× 471 0.8× 485 1.0× 429 0.9× 40 2.8k

Countries citing papers authored by Isabella Verdinelli

Since Specialization
Citations

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

Fields of papers citing papers by Isabella Verdinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabella Verdinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Isabella Verdinelli. A scholar is included among the top collaborators of Isabella Verdinelli 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 Isabella Verdinelli. Isabella Verdinelli 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.
Verdinelli, Isabella & L. H. Wasserman. (2024). Feature Importance: A Closer Look at Shapley Values and LOCO. Statistical Science. 39(4). 9 indexed citations
2.
Genovese, Christopher R., et al.. (2018). False Discovery Rates for Random Fields. Figshare.
3.
Verdinelli, Isabella & Larry Wasserman. (2018). Analysis of a mode clustering diagram. Electronic Journal of Statistics. 12(2). 3 indexed citations
4.
Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, & L. H. Wasserman. (2014). Nonparametric ridge estimation. 54 indexed citations
5.
Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, & Larry Wasserman. (2013). On the path density of a gradient field. 18 indexed citations
6.
Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, & Larry Wasserman. (2012). Minimax manifold estimation. arXiv (Cornell University). 13(1). 1263–1291. 31 indexed citations
7.
Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, & L. H. Wasserman. (2012). Manifold estimation and singular deconvolution under Hausdorff loss. 39 indexed citations
8.
Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, & Larry Wasserman. (2012). The Geometry of Nonparametric Filament Estimation. Journal of the American Statistical Association. 107(498). 788–799. 18 indexed citations
9.
Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, & Larry Wasserman. (2010). Nonparametric Filament Estimation. arXiv (Cornell University). 5 indexed citations
10.
Genovese, Christopher R., et al.. (2007). Scan clustering: A false discovery approach. Journal of Multivariate Analysis. 98(7). 1441–1469. 13 indexed citations
11.
Weiss, L.E., Cristina H. Amon, Susan Finger, et al.. (2005). Bayesian computer-aided experimental design of heterogeneous scaffolds for tissue engineering. Computer-Aided Design. 37(11). 1127–1139. 48 indexed citations
12.
Gatsonis, Constantine, Robert E. Kass, Bradley P. Carlin, et al.. (2002). Case Studies in Bayesian Statistics Volume V. Lecture notes in statistics. 4 indexed citations
13.
Ziegel, Eric R., Constantine Gatsonis, Robert E. Kass, et al.. (2000). Case Studies in Bayesian Statistics, Vol. IV. Technometrics. 42(3). 327–327.
14.
Gatsonis, Constantine, Robert E. Kass, Bradley P. Carlin, et al.. (1999). Case Studies in Bayesian Statistics. Lecture notes in statistics. 8 indexed citations
15.
Verdinelli, Isabella & Larry Wasserman. (1995). Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio. Journal of the American Statistical Association. 90(430). 614–618. 337 indexed citations
16.
Verdinelli, Isabella & L. H. Wasserman. (1995). Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio. Journal of the American Statistical Association. 90(430). 614–614. 74 indexed citations
17.
Verdinelli, Isabella & Joseph B. Kadane. (1992). Bayesian Designs for Maximizing Information and Outcome. Journal of the American Statistical Association. 87(418). 510–515. 36 indexed citations
18.
Verdinelli, Isabella & Joseph B. Kadane. (1992). Bayesian Designs for Maximizing Information and Outcome. Journal of the American Statistical Association. 87(418). 510–510. 10 indexed citations
19.
Verdinelli, Isabella & Larry Wasserman. (1991). Bayesian analysis of outlier problems using the Gibbs sampler. Statistics and Computing. 1(2). 105–117. 73 indexed citations
20.
Simeone, Bruno & Isabella Verdinelli. (1988). A feasible directions method for computing Bayes E-optimal block designs. Computational Statistics & Data Analysis. 7(1). 23–38. 1 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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