S. B. Singh

91 papers receiving 835 citations

Peers

S. B. Singh
Comparison fields: 5 of 84
  • Safety, Risk, Reliability and Quality 460
  • Software 186
  • Statistics, Probability and Uncertainty 252
  • Statistics and Probability 224
  • Fluid Flow and Transfer Processes 56
Replace Gianpaolo Pulcini with:
Gianpaolo Pulcini Italy
Hanlin Liu China
Georgia-Ann Klutke United States
Andre Kleyner United States
Luis Alberto Rodríguez‐Picón Mexico
Surajit Pal India
J. Endrenyi Canada
S. Carlos Spain
Rui Kang China
Liping He China
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Citations per field
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Gianpaolo Pulcini · 1×
Citations per year

Countries citing papers authored by S. B. Singh

Since Specialization
Citations

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

Fields of papers citing papers by S. B. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. B. Singh. 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 S. B. Singh. The network helps show where S. B. Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside S. B. Singh, 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 S. B. Singh Line = papers co-authored together S. B. Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 201471
3 200855
4 201849
5 201037
6 201236
7 201030
8 201128
9 201528
10 201725
11 201520
12 201519
13 201817
14 201615
15 201915
16 201912
17 201712
18 201711
19 202111
20 201810

About S. B. Singh

S. B. Singh is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Biomedical Engineering, Statistics and Probability and Software, having authored 102 papers that have together received 872 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (54 papers), Thermochemical Biomass Conversion Processes (24 papers), Statistical Distribution Estimation and Applications (21 papers), Software Reliability and Analysis Research (20 papers), Risk and Safety Analysis (18 papers), Probabilistic and Robust Engineering Design (17 papers), Thermal and Kinetic Analysis (16 papers) and Advanced Battery Technologies Research (10 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (460 citations), Software (186 citations), Statistics, Probability and Uncertainty (252 citations), Statistics and Probability (224 citations) and Fluid Flow and Transfer Processes (56 citations). S. B. Singh has collaborated with scholars based in India, Hungary and Iraq. Frequent co-authors include Mangey Ram, Alok Dhaundiyal, V. V. Singh, Akshay Kumar, Atul Dhar, Avinash Kumar Ágarwal, Sangeeta Pant, Muammel M. Hanon, Rekha Rawat and Anuj Kumar. Their work appears in journals such as International Journal of Quality & Reliability Management, International Journal of Reliability Quality and Safety Engineering, Quality Technology & Quantitative Management, Science and Quality and Reliability Engineering International.

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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