H. W. Block

443 total citations
10 papers, 215 citations indexed

About

H. W. Block is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, H. W. Block has authored 10 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in H. W. Block's work include Statistical Distribution Estimation and Applications (7 papers), Probability and Risk Models (5 papers) and Bayesian Methods and Mixture Models (4 papers). H. W. Block is often cited by papers focused on Statistical Distribution Estimation and Applications (7 papers), Probability and Risk Models (5 papers) and Bayesian Methods and Mixture Models (4 papers). H. W. Block collaborates with scholars based in United States, Israel and Brazil. H. W. Block's co-authors include Thomas H. Savits, Warley de Souza Borges, A.R. Sampson, Shiguang Qian, Allan R. Sampson, Naftali A. Langberg, David S. Stoffer and Zhiming Fang and has published in prestigious journals such as Operations Research, The Annals of Statistics and Journal of Computational and Graphical Statistics.

In The Last Decade

H. W. Block

9 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. W. Block United States 7 140 129 76 50 36 10 215
Hassan Zahedi United States 8 242 1.7× 90 0.7× 28 0.4× 112 2.2× 70 1.9× 12 311
Abdalla Abdel-Ghaly Egypt 8 175 1.3× 230 1.8× 238 3.1× 78 1.6× 21 0.6× 13 358
Nuria Torrado Spain 13 268 1.9× 140 1.1× 31 0.4× 209 4.2× 75 2.1× 27 339
Zhengcheng Zhang China 9 297 2.1× 243 1.9× 34 0.4× 233 4.7× 42 1.2× 28 334
Manuel Franco Spain 11 265 1.9× 94 0.7× 23 0.3× 146 2.9× 70 1.9× 34 333
Murari Mitra India 11 249 1.8× 74 0.6× 6 0.1× 90 1.8× 103 2.9× 46 297
Nil Kamal Hazra India 11 303 2.2× 199 1.5× 66 0.9× 191 3.8× 80 2.2× 36 368
Anna Dembińska Poland 13 293 2.1× 110 0.9× 25 0.3× 95 1.9× 191 5.3× 40 383
K. Rosaiah India 10 553 4.0× 239 1.9× 22 0.3× 431 8.6× 118 3.3× 46 604
Hiroshi Ohtera Japan 5 76 0.5× 306 2.4× 362 4.8× 13 0.3× 7 0.2× 10 377

Countries citing papers authored by H. W. Block

Since Specialization
Citations

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

Fields of papers citing papers by H. W. Block

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. W. Block. 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 H. W. Block. The network helps show where H. W. Block may publish in the future.

Co-authorship network of co-authors of H. W. Block

This figure shows the co-authorship network connecting the top 25 collaborators of H. W. Block. A scholar is included among the top collaborators of H. W. Block 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 H. W. Block. H. W. Block is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Block, H. W., et al.. (1997). Metrics on permutations useful for positive dependence. Journal of Statistical Planning and Inference. 62(2). 219–234. 2 indexed citations
2.
Block, H. W., Shiguang Qian, & A.R. Sampson. (1994). Structure Algorithms for Partially Ordered Isotonic Regression. Journal of Computational and Graphical Statistics. 3(3). 285–300. 22 indexed citations
3.
Block, H. W., et al.. (1992). Some new partial orderings on Sn and Sn×Sn. Journal of Statistical Planning and Inference. 30(3). 351–357. 3 indexed citations
4.
Block, H. W., et al.. (1992). Product-Type Probability Bounds of Higher Order. Probability in the Engineering and Informational Sciences. 6(3). 349–370. 8 indexed citations
5.
Block, H. W., et al.. (1990). Partial Orders on Permutations and Dependence Orderings on Bivariate Empirical Distributions. The Annals of Statistics. 18(4). 12 indexed citations
6.
Block, H. W., Naftali A. Langberg, & David S. Stoffer. (1988). Bivariate exponential and geometric autoregressive and autoregressive moving average models. Advances in Applied Probability. 20(4). 798–821.
7.
Block, H. W., Warley de Souza Borges, & Thomas H. Savits. (1988). A general age replacement model with minimal repair. Naval Research Logistics (NRL). 35(5). 365–372. 108 indexed citations
8.
Block, H. W., Naftali A. Langberg, & David S. Stoffer. (1988). Bivariate exponential and geometric autoregressive and autoregressive moving average models. Advances in Applied Probability. 20(4). 798–821. 6 indexed citations
9.
Block, H. W. & Thomas H. Savits. (1984). Continuous Multistate Structure Functions. Operations Research. 32(3). 703–714. 46 indexed citations
10.
Block, H. W., et al.. (1983). A General Minimal Repair Maintenance Model.. 8 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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