H. W. Block

14 papers receiving 301 citations

Peers

H. W. Block
Comparison fields: 5 of 52
  • Statistics and Probability 195
  • Software 95
  • Safety, Risk, Reliability and Quality 190
  • Statistics, Probability and Uncertainty 94
  • Management Science and Operations Research 63
Replace Wagner de Souza Borges with:
Wagner de Souza Borges Brazil
Anthony A. Salvia United States
Hassan Zahedi United States
Ourania Chryssaphinou Greece
Zhengcheng Zhang China
Nuria Torrado Spain
Abdalla Abdel-Ghaly Egypt
William Murdock United States
Weiyong Ding China
R.K. Tuteja India
H. W. Block relative to Wagner de Souza Borges Brazil Wagner de Souza Borges's profile →
Citations per field
00.5×1.5×
Wagner de Souza Borges · 1×
Citations per year

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-authors

The 8 scholars most cited alongside H. W. Block, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. W. Block Line = papers co-authored together H. W. Block links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1988112
2 198476
3 198449
4 199425
5 199019
6 199011
7 199210
8 19888
9
A General Minimal Repair Maintenance Model.
19838
10 19923
11 19973
12 19961
13 19901
14 19881

About H. W. Block

H. W. Block is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Safety, Risk, Reliability and Quality and Finance, having authored 14 papers that have together received 327 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (8 papers), Bayesian Methods and Mixture Models (6 papers), Probability and Risk Models (6 papers), Reliability and Maintenance Optimization (3 papers), Financial Risk and Volatility Modeling (2 papers), Random Matrices and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Diverse Scientific and Engineering Research (1 paper). The work is most often cited by research in Statistics and Probability (195 citations), Software (95 citations), Safety, Risk, Reliability and Quality (190 citations), Statistics, Probability and Uncertainty (94 citations) and Management Science and Operations Research (63 citations). H. W. Block has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Thomas H. Savits, Warley de Souza Borges, Allan R. Sampson, Shiguang Qian, David S. Stoffer, Naftali A. Langberg, Allan R. Sampson and Zhiming Fang. Their work appears in journals such as Journal of Statistical Planning and Inference, Advances in Applied Probability, Operations Research, Probability in the Engineering and Informational Sciences and The Annals of Statistics.

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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