Kulvinder Singh
- Mechanics of Materials top 2%
- Materials Chemistry
- Artificial Intelligence
- Mathematical Physics top 10%
- Information Systems top 10%
- Co-authors
- Iqbal KaurParveen LataEduard‐Marius CraciunPravin ChandraYogesh SinghK. R. AnejaPriyanka MeelRohit Tanwar
- Topics
- Thermoelastic and Magnetoelastic Phenomena (42 papers)Composite Structure Analysis and Optimization (27 papers)Numerical methods in engineering (20 papers)
- Partner nations
- IndiaRomaniaUnited States
In The Last Decade
Kulvinder Singh
80 papers receiving 633 citations
Peers
Comparison fields: 5 of 76
- Mechanics of Materials 455
- Materials Chemistry 203
- Artificial Intelligence 77
- Mathematical Physics 68
- Information Systems 59
Countries citing papers authored by Kulvinder Singh
This map shows the geographic impact of Kulvinder 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 Kulvinder Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kulvinder Singh more than expected).
Fields of papers citing papers by Kulvinder Singh
This network shows the impact of papers produced by Kulvinder 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 Kulvinder Singh. The network helps show where Kulvinder Singh may publish in the future.
Co-authorship network of co-authors of Kulvinder Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Kulvinder Singh. A scholar is included among the top collaborators of Kulvinder Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kulvinder Singh. Kulvinder Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice. | 2 |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | Visual Webpage Content Segmentation and Retrieval Based on n-Grams | 1 |
| 20 | Effect of Various Levels of Nitrogen and Phosphorus on Growth and Yield of Chilli (Capsicum Annuum L.) | 7 |
About Kulvinder Singh
Kulvinder Singh is a scholar working on Mechanics of Materials, Health Information Management and Software, having authored 92 papers that have together received 662 indexed citations. Recurring topics across this work include Thermoelastic and Magnetoelastic Phenomena (42 papers), Composite Structure Analysis and Optimization (27 papers) and Numerical methods in engineering (20 papers). The work is most often cited by research in Mechanics of Materials (455 citations), Mathematical Physics (68 citations) and Software (19 citations). Kulvinder Singh has collaborated with scholars based in India, Romania and United States. Frequent co-authors include Iqbal Kaur, Parveen Lata, Eduard‐Marius Craciun, Pravin Chandra, Yogesh Singh, K. R. Aneja, Priyanka Meel, Rohit Tanwar, Amit Verma and Mazdak Zamani. Their work appears in journals such as Bioinformatics, Applied Mathematical Modelling and Electronic Commerce Research and Applications.
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.