H. W. Block

443 citations
10 papers · 215 · h-index 7

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models

Papers in

H. W. Block

9 papers receiving 195 citations

Peers

H. W. Block
Comparison fields: 5 of 42
  • Software 76
  • Statistics and Probability 140
  • Safety, Risk, Reliability and Quality 129
  • Statistics, Probability and Uncertainty 50
  • Management Science and Operations Research 36
Replace Hassan Zahedi with:
Hassan Zahedi United States
Zhengcheng Zhang China
Abdalla Abdel-Ghaly Egypt
Nuria Torrado Spain
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Nil Kamal Hazra India
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Anna Dembińska Poland
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H. W. Block relative to Hassan Zahedi United States Hassan Zahedi's profile →
Citations per field
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Hassan Zahedi · 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

10 of 10 papers shown
#Work
1 1988108
2 198446
3 199422
4 199012
5 19928
6
A General Minimal Repair Maintenance Model.
19838
7 19886
8 19923
9 19972
10 19880

About H. W. Block

H. W. Block is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Finance and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 215 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (7 papers), Probability and Risk Models (5 papers), Bayesian Methods and Mixture Models (4 papers), Financial Risk and Volatility Modeling (2 papers), Reliability and Maintenance Optimization (2 papers), Diverse Scientific and Engineering Research (1 paper), Neural Networks and Applications (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Software (76 citations), Statistics and Probability (140 citations), Safety, Risk, Reliability and Quality (129 citations), Statistics, Probability and Uncertainty (50 citations) and Management Science and Operations Research (36 citations). H. W. Block has collaborated with scholars based in United States, Israel and Brazil. Frequent 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. Their work appears in journals such as Advances in Applied Probability, Journal of Statistical Planning and Inference, 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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