Srinivas Kodiyalam

1.6k citations
57 papers · 1.3k indexed · h-index 18
Topics
Probabilistic and Robust Engineering Design (14 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)Topology Optimization in Engineering (11 papers)

In The Last Decade

Srinivas Kodiyalam

53 papers receiving 1.1k citations

Peers

Srinivas Kodiyalam
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 432
  • Civil and Structural Engineering 423
  • Statistics, Probability and Uncertainty 406
  • Mechanical Engineering 271
  • Mechanics of Materials 265
Replace Ashok D. Belegundu with:
Ashok D. Belegundu United States
Yoshihiro Kanno Japan
Hae Chang Gea United States
Byung Man Kwak South Korea
G. N. Vanderplaats United States
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Makoto Ohsaki Japan
Rajan Filomeno Coelho Belgium
Timoleon Kipouros United Kingdom
H. Eschenauer Germany
Srinivas Kodiyalam relative to Ashok D. Belegundu United States Ashok D. Belegundu's profile →
Citations per field
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Ashok D. Belegundu · 1×
Citations per year

Countries citing papers authored by Srinivas Kodiyalam

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Kodiyalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Kodiyalam

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas Kodiyalam. A scholar is included among the top collaborators of Srinivas Kodiyalam 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 Srinivas Kodiyalam. Srinivas Kodiyalam 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 67
3 63
4 114
5 59
6 15
7 14
8 2
9 14
10 1
11 3
12 3
13
Geometry and optimization techniques for structural design
13
14 7
15 2
16 12
17 32
18 14
19 4
20 34

About Srinivas Kodiyalam

Srinivas Kodiyalam is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Industrial and Manufacturing Engineering, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (14 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Topology Optimization in Engineering (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (406 citations), Computer Graphics and Computer-Aided Design (100 citations) and Computational Theory and Mathematics (432 citations). Srinivas Kodiyalam has collaborated with scholars based in United States, Israel and Czechia. Frequent co-authors include Jaroslaw Sobieszczanski‐Sobieski, V. Parthasarathy, Ren‐Jye Yang, P. B. Thanedar, Natalia Alexandrov, R. J. Yang, S. Nagendra, Cheng-Ho Tho, Garret N. Vanderplaats and Linxia Gu. Their work appears in journals such as Circulation Research, AIAA Journal and Computers & Structures.

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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