Thirupathi Gudi

1.4k citations
53 papers · 911 indexed · h-index 17
Topics
Advanced Numerical Methods in Computational Mathematics (51 papers)Numerical methods in engineering (34 papers)Advanced Mathematical Modeling in Engineering (21 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Thirupathi Gudi

47 papers receiving 846 citations

Peers

Thirupathi Gudi
Comparison fields: 5 of 40
  • Computational Mechanics 801
  • Mechanics of Materials 533
  • Computational Theory and Mathematics 435
  • Electrical and Electronic Engineering 194
  • Numerical Analysis 192
Replace Ricardo G. Durán with:
Ricardo G. Durán Argentina
Thomas Apel Germany
János Karátson Hungary
Shipeng Mao China
Etienne Emmrich Germany
Christian Kreuzer Germany
Xiaochuan Tian United States
Alexander Ženíšek Czechia
Pengzhan Huang China
Blanca Ayuso de Dios Italy
Thirupathi Gudi relative to Ricardo G. Durán Argentina Ricardo G. Durán's profile →
Citations per field
00.5×2.5×
Ricardo G. Durán · 1×
Citations per year

Countries citing papers authored by Thirupathi Gudi

Since Specialization
Citations

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

Fields of papers citing papers by Thirupathi Gudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thirupathi Gudi

This figure shows the co-authorship network connecting the top 25 collaborators of Thirupathi Gudi. A scholar is included among the top collaborators of Thirupathi Gudi 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 Thirupathi Gudi. Thirupathi Gudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 5
5 2
6 7
7 7
8 3
9 15
10 12
11 36
12 21
13 3
14 26
15
A weakly over-penalized symmetric interior penalty method for the biharmonic problem.
15
16 122
17 16
18 13
19 5
20 37

About Thirupathi Gudi

Thirupathi Gudi is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 53 papers that have together received 911 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (51 papers), Numerical methods in engineering (34 papers) and Advanced Mathematical Modeling in Engineering (21 papers). The work is most often cited by research in Computational Mechanics (801 citations), Numerical Analysis (192 citations) and Computational Theory and Mathematics (435 citations). Thirupathi Gudi has collaborated with scholars based in India, United States and France. Frequent co-authors include Li-yeng Sung, Susanne C. Brenner, Amiya K. Pani, Neela Nataraj, Michael Neilan, A. K. Nandakumaran, Max Jensen, Carsten Carstensen, Ramón Codina and Santiago Badia. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and SIAM Journal on Control and Optimization.

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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