S. Nagendra

907 total citations
26 papers, 690 citations indexed

About

S. Nagendra is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, S. Nagendra has authored 26 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Civil and Structural Engineering, 11 papers in Mechanics of Materials and 4 papers in Artificial Intelligence. Recurrent topics in S. Nagendra's work include Composite Structure Analysis and Optimization (11 papers), Topology Optimization in Engineering (11 papers) and Mechanical Behavior of Composites (5 papers). S. Nagendra is often cited by papers focused on Composite Structure Analysis and Optimization (11 papers), Topology Optimization in Engineering (11 papers) and Mechanical Behavior of Composites (5 papers). S. Nagendra collaborates with scholars based in United States, India and British Virgin Islands. S. Nagendra's co-authors include Z. Gürdal, Raphael T. Haftka, Layne T. Watson, R. T. Haftka, Srinivas Kodiyalam, V. Parthasarathy, Nozomu KOGISO, James H. Starnes, Ravindra V. Tappeta and John E. Renaud and has published in prestigious journals such as AIAA Journal, Composite Structures and Computers & Structures.

In The Last Decade

S. Nagendra

24 papers receiving 641 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Nagendra United States 10 496 496 135 120 101 26 690
Mehmet A. Akgün Türkiye 10 429 0.9× 301 0.6× 140 1.0× 105 0.9× 84 0.8× 27 652
Harold Thomas United States 11 538 1.1× 305 0.6× 253 1.9× 100 0.8× 42 0.4× 31 679
Terence Macquart United Kingdom 11 198 0.4× 195 0.4× 74 0.5× 78 0.7× 146 1.4× 32 432
William R. Spillers United States 15 415 0.8× 245 0.5× 73 0.5× 140 1.2× 36 0.4× 73 678
S.N. Patnaik United States 18 570 1.1× 467 0.9× 100 0.7× 167 1.4× 34 0.3× 44 769
L. Le-Anh Vietnam 14 387 0.8× 275 0.6× 201 1.5× 32 0.3× 28 0.3× 19 648
Seog-Young Han South Korea 12 227 0.5× 101 0.2× 155 1.1× 81 0.7× 57 0.6× 43 441
Y.K. Shyy United States 7 405 0.8× 237 0.5× 194 1.4× 74 0.6× 13 0.1× 15 480
Surya N. Patnaik United States 10 206 0.4× 133 0.3× 86 0.6× 54 0.5× 43 0.4× 47 321

Countries citing papers authored by S. Nagendra

Since Specialization
Citations

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

Fields of papers citing papers by S. Nagendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nagendra

This figure shows the co-authorship network connecting the top 25 collaborators of S. Nagendra. A scholar is included among the top collaborators of S. Nagendra 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 S. Nagendra. S. Nagendra 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
2.
Nagendra, S. & Daniel Kifer. (2024). PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization. 1350–1361. 2 indexed citations
3.
Nagendra, S., Daniel Kifer, Benjamin B. Mirus, et al.. (2022). Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 4349–4370. 15 indexed citations
4.
Nagendra, S., et al.. (2020). Cloud-based interactive database management suite integrated with deep learning-based annotation tool for landslide mapping. AGU Fall Meeting Abstracts. 2020. 2 indexed citations
5.
Funk, Christopher, et al.. (2018). Learning Dynamics from Kinematics: Estimating Foot Pressure from Video. arXiv (Cornell University). 1 indexed citations
6.
Nagendra, S., Christopher Funk, Robert T. Collins, & Yanxi Liu. (2018). Foot Pressure from Video: A Deep Learning Approach to Predict Dynamics from Kinematics. arXiv (Cornell University). 1 indexed citations
7.
Kolonay, Raymond M., et al.. (1999). Sensitivity analysis for turbine blade components. 40th Structures, Structural Dynamics, and Materials Conference and Exhibit. 2 indexed citations
8.
Tappeta, Ravindra V., S. Nagendra, & John E. Renaud. (1999). A multidisciplinary design optimization approach for high temperature aircraft engine components. Structural and Multidisciplinary Optimization. 18(2-3). 134–145. 28 indexed citations
9.
Tappeta, Ravindra V., S. Nagendra, & John E. Renaud. (1998). A multidisciplinary design optimization approach for high temperature aircraft engine components. 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit. 6 indexed citations
10.
Kolonay, Raymond M., et al.. (1998). Sensitivity analysis for turbine blade components. 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. 2 indexed citations
11.
Nagendra, S., et al.. (1997). Response surface based laminate stacking sequence optimization under stability constraints. 38th Structures, Structural Dynamics, and Materials Conference. 6 indexed citations
12.
Nagendra, S., et al.. (1996). Improved genetic algorithm for the design of stiffened composite panels. Computers & Structures. 58(3). 543–555. 210 indexed citations
13.
Nagendra, S., et al.. (1996). Derivative based approximation for predicting the effect of changes in laminate stacking sequence. Structural and Multidisciplinary Optimization. 11(3-4). 235–243. 9 indexed citations
14.
Nagendra, S., et al.. (1995). Optimization of tow fiber paths for composite design. 36th Structures, Structural Dynamics and Materials Conference. 101 indexed citations
15.
KOGISO, Nozomu, Layne T. Watson, Z. Gürdal, R. T. Haftka, & S. Nagendra. (1994). DESIGN OF COMPOSITE LAMINATES BY A GENETIC ALGORITHM WITH MEMORY. Mechanics of Advanced Materials and Structures. 1(1). 95–117. 75 indexed citations
16.
Nagendra, S., Z. Gürdal, Raphael T. Haftka, & James H. Starnes. (1994). Buckling and failure characteristics of compression-loaded stiffened composite panels with a hole. Composite Structures. 28(1). 1–17. 28 indexed citations
17.
Nagendra, S., Raphael T. Haftka, & Z. Gürdal. (1993). DESIGN OF A BLADE STIFFENED COMPOSITE PANEL BY GENETIC ALGORITHM. 34th Structures, Structural Dynamics and Materials Conference. 55 indexed citations
18.
Nagendra, S., Raphael T. Haftka, & Z. Gürdal. (1992). Stacking sequence optimization of simply supported laminates with stability and strain constraints. 33rd Structures, Structural Dynamics and Materials Conference. 6 indexed citations
19.
Nagendra, S., Raphael T. Haftka, & Z. Gürdal. (1991). Buckling Optimization of Laminate Stacking Sequence with Strain Constraints. 205–212. 8 indexed citations
20.
Nagendra, S., Raphael T. Haftka, Z. Gürdal, & James H. Starnes. (1991). Design of a blade-stiffened composite panel with a hole. Composite Structures. 18(3). 195–219. 26 indexed citations

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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