N. Singh

848 citations
56 papers · 604 · h-index 14

Impact in

Papers in

N. Singh

53 papers receiving 585 citations

Peers

N. Singh
Comparison fields: 5 of 116
  • Statistics and Probability 106
  • Statistics, Probability and Uncertainty 63
  • Radiological and Ultrasound Technology 32
  • Safety, Risk, Reliability and Quality 44
  • General Health Professions 97
Replace Sudhir Jadhav with:
Sudhir Jadhav India
William R. Gaffey United States
Alfio Marazzi Switzerland
Kellyn F Arnold United Kingdom
Laurie Berrie United Kingdom
Girdhar G. Agarwal India
Masoud Asgharian Canada
Tsung‐Shan Tsou Taiwan
Jeffrey R. Budd United States
Myron Katzoff United States
N. Singh relative to Sudhir Jadhav India Sudhir Jadhav's profile →
Citations per field
00.5×6.2×
Sudhir Jadhav · 1×
Citations per year

Countries citing papers authored by N. Singh

Since Specialization
Citations

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

Fields of papers citing papers by N. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 201162
3 201452
4 201536
5 202034
6 201631
7 198029
8 202422
9 201619
10 201718
11 201618
12 201517
13 199414
14
Endosulfan poisoning: a study of 22 cases.
199214
15 201712
16 201712
17 198911
18 198310
19 198710
20 19859

About N. Singh

N. Singh is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 56 papers that have together received 604 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (16 papers), Reliability and Maintenance Optimization (13 papers), Probabilistic and Robust Engineering Design (7 papers), Fault Detection and Control Systems (7 papers), Advanced Statistical Methods and Models (6 papers), Statistical Methods and Bayesian Inference (5 papers), Control Systems and Identification (4 papers) and Probability and Risk Models (3 papers). The work is most often cited by research in Statistics and Probability (106 citations), Statistics, Probability and Uncertainty (63 citations), Radiological and Ultrasound Technology (32 citations), Safety, Risk, Reliability and Quality (44 citations) and General Health Professions (97 citations). N. Singh has collaborated with scholars based in Australia, Canada and India. Frequent co-authors include Bianca Brijnath, Danielle Mazza, Alex Collie, Agnieszka Kosny, Rasa Ruseckaite, Michal Schneider, Robert Adams, Marilyn Baird, Kellie Knight and Duane Akroyd. Their work appears in journals such as Microelectronics Reliability, IEEE Transactions on Reliability, Technometrics, BMC Family Practice and Journal of Statistical Computation and Simulation.

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.

Explore authors with similar magnitude of impact