Chanchal Singh

74 papers receiving 895 citations

Peers

Chanchal Singh
Comparison fields: 5 of 97
  • Numerical Analysis 513
  • Computational Theory and Mathematics 705
  • Control and Systems Engineering 441
  • Geometry and Topology 111
  • Applied Mathematics 87
Replace Guangya Chen with:
Guangya Chen China
Pierre Huard France
Miguel Sama Spain
M. Beatrice Lignola Italy
Skand Sinha India
Antonino Maugeri Italy
Yuying Zhou China
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Antonino Maugeri Italy
Pengyu Chen China
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Citations per field
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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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199179
2 198879
3 198774
4 199768
5 199545
6 199341
7 200140
8 199031
9 198629
10 198227
11 199126
12 198420
13 197719
14 198119
15 201518
16 197818
17 198317
18 198616
19 201315
20 199013

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 81 papers that have together received 960 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (36 papers), Advanced Optimization Algorithms Research (23 papers), Optimization and Mathematical Programming (20 papers), Prenatal Screening and Diagnostics (6 papers), Fixed Point Theorems Analysis (5 papers), Dental Anxiety and Anesthesia Techniques (3 papers), Hernia repair and management (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Numerical Analysis (513 citations), Computational Theory and Mathematics (705 citations), Control and Systems Engineering (441 citations), Geometry and Topology (111 citations) and Applied Mathematics (87 citations). Chanchal Singh has collaborated with scholars based in United States, India and Italy. Frequent co-authors include C. R. Bector, R. Pini, Morgan A Hanson, Norma G. Rueda, S. K. Suneja, S. Chandra, William H. Farr, Anita Kaul, Reva Tripathi and R. A. Willson. Their work appears in journals such as Journal of Optimization Theory and Applications, Journal of Mathematical Analysis and Applications, International Journal of Gynecology & Obstetrics, Optimization and Journal of Dental Research.

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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