Chanchal Singh

70 papers receiving 777 citations

Peers

Chanchal Singh
Comparison fields: 5 of 98
  • Numerical Analysis 439
  • Computational Theory and Mathematics 598
  • Control and Systems Engineering 361
  • Geometry and Topology 97
  • Applied Mathematics 79
Replace Pierre Huard with:
Pierre Huard France
Skand Sinha India
Yuying Zhou China
A.C. Capelo Italy
Pengyu Chen China
Gengsheng Wang China
Pankaj Jain India
Rami Katz Israel
Wu-Sheng Wang China
Chanchal Singh relative to Pierre Huard France Pierre Huard's profile →
Citations per field
00.5×10×14×
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Citations per year

Countries citing papers authored by Chanchal Singh

Since Specialization
Citations

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

Fields of papers citing papers by Chanchal Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199174
2 198869
3 199763
4 198763
5 199542
6 200139
7 199338
8 198624
9 199124
10 198222
11 197719
12 201518
13 198118
14 197818
15 198417
16 201315
17 198315
18
Extreme hyperbilirubinemia associated with the use of anabolic steroids, health/nutritional supplements, and ethanol: response to ursodeoxycholic acid treatment.
199613
19 198613
20
Evaluation of Periodontal Ligament Cell Viability in Three Different Storage Media: An in Vitro Study.
201512

About Chanchal Singh

Chanchal Singh is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, Pediatrics, Perinatology and Child Health and Surgery, having authored 79 papers that have together received 837 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (33 papers), Advanced Optimization Algorithms Research (21 papers), Optimization and Mathematical Programming (17 papers), Prenatal Screening and Diagnostics (9 papers), Pregnancy and preeclampsia studies (5 papers), Fixed Point Theorems Analysis (5 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Pediatric Pain Management Techniques (3 papers). The work is most often cited by research in Numerical Analysis (439 citations), Computational Theory and Mathematics (598 citations), Control and Systems Engineering (361 citations), Geometry and Topology (97 citations) and Applied Mathematics (79 citations). Chanchal Singh has collaborated with scholars based in United States, India and Italy. Frequent co-authors include R. Pini, C. R. Bector, Morgan A Hanson, Norma G. Rueda, S. K. Suneja, Anita Kaul, Reva Tripathi, R. A. Willson, D. S. Bhatia and S. Chandra. Their work appears in journals such as Journal of Optimization Theory and Applications, Journal of Mathematical Analysis and Applications, Optimization, International Journal of Gynecology & Obstetrics and Naval Research Logistics (NRL).

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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