Mary Ellen Bock

1.7k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Mary Ellen Bock is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Mary Ellen Bock has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Mary Ellen Bock's work include Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (6 papers) and Algorithms and Data Compression (6 papers). Mary Ellen Bock is often cited by papers focused on Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (6 papers) and Algorithms and Data Compression (6 papers). Mary Ellen Bock collaborates with scholars based in United States and Italy. Mary Ellen Bock's co-authors include George G. Judge, Rand R. Wilcox, T.A. Yancey, Alberto Apostolico, Stefano Lonardi, James O. Berger, Concettina Guerra, Fred W. Huffer, George Casella and Persi Diaconis and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Econometrica.

In The Last Decade

Mary Ellen Bock

38 papers receiving 945 citations

Hit Papers

The Statistical Implications of Pre-Test and Stein-Rule E... 1979 2026 1994 2010 1979 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Ellen Bock United States 18 673 170 153 144 125 40 1.1k
Peide Shi China 11 497 0.7× 145 0.9× 63 0.4× 79 0.5× 52 0.4× 25 690
Gordon Simons United States 14 606 0.9× 246 1.4× 198 1.3× 347 2.4× 169 1.4× 65 1.2k
A. P. Korostelev United States 13 278 0.4× 116 0.7× 59 0.4× 162 1.1× 88 0.7× 38 698
K. van Harn Netherlands 6 593 0.9× 227 1.3× 104 0.7× 205 1.4× 109 0.9× 11 967
Chien-Fu Wu United States 12 442 0.7× 103 0.6× 115 0.8× 358 2.5× 59 0.5× 18 840
D. S. Poskitt Australia 22 375 0.6× 169 1.0× 90 0.6× 148 1.0× 354 2.8× 67 1.2k
Xiangrong Yin United States 16 795 1.2× 292 1.7× 65 0.4× 97 0.7× 49 0.4× 59 1.1k
Hari Mukerjee United States 12 636 0.9× 156 0.9× 235 1.5× 166 1.2× 39 0.3× 52 908
J. H. Venter South Africa 12 262 0.4× 119 0.7× 76 0.5× 141 1.0× 54 0.4× 38 587
Josef Steinebach Germany 18 657 1.0× 166 1.0× 246 1.6× 315 2.2× 155 1.2× 106 1.2k

Countries citing papers authored by Mary Ellen Bock

Since Specialization
Citations

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

Fields of papers citing papers by Mary Ellen Bock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ellen Bock. 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 Mary Ellen Bock. The network helps show where Mary Ellen Bock may publish in the future.

Co-authorship network of co-authors of Mary Ellen Bock

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ellen Bock. A scholar is included among the top collaborators of Mary Ellen Bock 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 Mary Ellen Bock. Mary Ellen Bock 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.
Bertolazzi, Paola, Mary Ellen Bock, Concettina Guerra, Paola Paci, & Daniele Santoni. (2014). On the integration of protein-protein interaction networks with gene expression and 3D structural data: What can be gained?. IRIS Research product catalog (Sapienza University of Rome).
2.
Bock, Mary Ellen, et al.. (2009). MolLoc: a web tool for the local structural alignment of molecular surfaces. Nucleic Acids Research. 37(Web Server). W565–W570. 14 indexed citations
3.
Bock, Mary Ellen, et al.. (2007). Discovery of Similar Regions on Protein Surfaces. Journal of Computational Biology. 14(3). 285–299. 19 indexed citations
4.
Apostolico, Alberto, Mary Ellen Bock, & Stefano Lonardi. (2003). Monotony of Surprise and Large-Scale Quest for Unusual Words. Journal of Computational Biology. 10(3-4). 283–311. 44 indexed citations
5.
Bock, Mary Ellen & Concettina Guerra. (2001). Segmentation of Range Images through the Integration of Different Strate Gies. Vision Modeling and Visualization. 27–34. 3 indexed citations
6.
Apostolico, Alberto, et al.. (2000). Efficient Detection of Unusual Words. Journal of Computational Biology. 7(1-2). 71–94. 51 indexed citations
7.
Apostolico, Alberto, Mary Ellen Bock, & Stefano Lonardi. (1999). Linear global detectors of redundant and rare substrings. Research Padua Archive (University of Padua). 894. 168–177. 2 indexed citations
8.
Bock, Mary Ellen & Herbert Solomon. (1988). Tables for distributions of quadratic forms. Statistics. 19(3). 399–435. 2 indexed citations
9.
Bock, Mary Ellen & Z. Govindarajulu. (1988). A note on the noncentral chi-square distribution. Statistics & Probability Letters. 7(2). 127–129. 7 indexed citations
10.
Berman, Francine, et al.. (1986). Collections of Functions for Perfect Hashing. SIAM Journal on Computing. 15(2). 604–618. 13 indexed citations
11.
Bock, Mary Ellen. (1985). Minimax estimators that shift towards a hypersphere for location vectors of spherically symmetric distributions. Journal of Multivariate Analysis. 17(2). 127–147. 19 indexed citations
12.
Judge, George G., T.A. Yancey, & Mary Ellen Bock. (1983). Pre-test estimation under squared error loss. Economics Letters. 11(4). 347–352. 2 indexed citations
13.
Berger, James O. & Mary Ellen Bock. (1976). Combining Independent Normal Mean Estimation Problems with Unknown Variances. The Annals of Statistics. 4(3). 25 indexed citations
14.
Judge, George G. & Mary Ellen Bock. (1976). A Comparison of Traditional and Stein-Rule Estimators under Weighted Squared Error Loss. International Economic Review. 17(1). 234–234. 17 indexed citations
15.
Yancey, T.A., George G. Judge, & Mary Ellen Bock. (1974). A mean square error test when stochastic restrictions are used in regression. Communications in Statistics. 3(8). 755–768. 17 indexed citations
16.
Bock, Mary Ellen, T.A. Yancey, & George G. Judge. (1973). The Statistical Consequences of Preliminary Test Estimators in Regression. Journal of the American Statistical Association. 68(341). 109–116. 68 indexed citations
17.
Bock, Mary Ellen, T.A. Yancey, & George G. Judge. (1973). The Statistical Consequences of Preliminary Test Estimators in Regression. Journal of the American Statistical Association. 68(341). 109–109. 19 indexed citations
18.
Bock, Mary Ellen, George G. Judge, & T.A. Yancey. (1973). Some comments on estimation in regression after preliminary tests of significance. Journal of Econometrics. 1(2). 191–200. 12 indexed citations
19.
Judge, George G., T.A. Yancey, & Mary Ellen Bock. (1973). Properties of estimators after preliminary tests of significance when stochastic restrictions are used in regression. Journal of Econometrics. 1(1). 29–47. 19 indexed citations
20.
Yancey, T.A., Mary Ellen Bock, & George G. Judge. (1972). Some Finite Sample Results for Theil's Mixed Regression Estimator. Journal of the American Statistical Association. 67(337). 176–179. 6 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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