Shankar Sankararaman

3.2k total citations
88 papers, 2.4k citations indexed

About

Shankar Sankararaman is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Shankar Sankararaman has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics, Probability and Uncertainty, 29 papers in Control and Systems Engineering and 27 papers in Civil and Structural Engineering. Recurrent topics in Shankar Sankararaman's work include Probabilistic and Robust Engineering Design (35 papers), Fault Detection and Control Systems (26 papers) and Structural Health Monitoring Techniques (22 papers). Shankar Sankararaman is often cited by papers focused on Probabilistic and Robust Engineering Design (35 papers), Fault Detection and Control Systems (26 papers) and Structural Health Monitoring Techniques (22 papers). Shankar Sankararaman collaborates with scholars based in United States, United Kingdom and Norway. Shankar Sankararaman's co-authors include Sankaran Mahadevan, Kai Goebel, You Ling, Matthew Daigle, Abhinav Saxena, Xiaoge Zhang, Ivo Paixão de Medeiros, Cairo Lúcio Nascimento, Márcia L. Baptista and Elsa Henriques and has published in prestigious journals such as AIAA Journal, Mechanical Systems and Signal Processing and Reliability Engineering & System Safety.

In The Last Decade

Shankar Sankararaman

87 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shankar Sankararaman United States 27 975 739 690 516 418 88 2.4k
Hong‐Zhong Huang China 31 1.6k 1.6× 483 0.7× 430 0.6× 722 1.4× 598 1.4× 151 3.4k
Michel van Tooren Netherlands 27 630 0.6× 294 0.4× 505 0.7× 595 1.2× 594 1.4× 141 2.7k
Debiao Meng China 27 989 1.0× 219 0.3× 585 0.8× 536 1.0× 405 1.0× 70 2.0k
Ėric Châtelet France 26 576 0.6× 377 0.5× 348 0.5× 165 0.3× 295 0.7× 92 2.2k
Jinhua Mi China 22 915 0.9× 337 0.5× 201 0.3× 305 0.6× 250 0.6× 60 2.0k
Ning‐Cong Xiao China 21 1.3k 1.3× 149 0.2× 574 0.8× 338 0.7× 258 0.6× 62 1.8k
André T. Beck Brazil 31 1.2k 1.3× 193 0.3× 2.2k 3.1× 604 1.2× 366 0.9× 188 3.1k
Haobo Qiu China 31 1.5k 1.5× 229 0.3× 604 0.9× 270 0.5× 246 0.6× 90 2.6k
Sohag Kabir United Kingdom 19 1.1k 1.1× 338 0.5× 116 0.2× 125 0.2× 228 0.5× 69 2.0k
Lina Bertling Tjernberg Sweden 29 289 0.3× 1.6k 2.2× 300 0.4× 182 0.4× 328 0.8× 151 4.0k

Countries citing papers authored by Shankar Sankararaman

Since Specialization
Citations

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

Fields of papers citing papers by Shankar Sankararaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankar Sankararaman

This figure shows the co-authorship network connecting the top 25 collaborators of Shankar Sankararaman. A scholar is included among the top collaborators of Shankar Sankararaman 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 Shankar Sankararaman. Shankar Sankararaman 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
1.
Sankararaman, Shankar & Kai Goebel. (2020). Uncertainty in Prognostics and Systems Health Management. International Journal of Prognostics and Health Management. 6(4). 24 indexed citations
2.
Jones, Jeffrey A., et al.. (2019). A neural network framework for similarity-based prognostics. MethodsX. 6. 383–390. 7 indexed citations
3.
Sankararaman, Shankar & Kai Goebel. (2018). Computational architecture for autonomous decision-making in unmanned aerial vehicles. 70–70. 5 indexed citations
4.
Daigle, Matthew, et al.. (2017). GPU Accelerated Prognostics. Annual Conference of the PHM Society. 9(1). 2 indexed citations
5.
Keprate, Arvind, R. M. Chandima Ratnayake, & Shankar Sankararaman. (2017). Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline. International Journal of Pressure Vessels and Piping. 153. 45–58. 24 indexed citations
6.
Sankararaman, Shankar, et al.. (2017). Prospective Architectures for Onboard vs Cloud-based Decision Making for Unmanned Aerial Systems. Annual Conference of the PHM Society. 9(1). 3 indexed citations
7.
Sankararaman, Shankar, Indranil Roychoudhury, Xiaoge Zhang, & Kai Goebel. (2017). Preliminary Investigation of Impact of Technological Impairment on Trajectory-Based Operation. 4 indexed citations
8.
Sankararaman, Shankar, et al.. (2016). Analysis of two modeling approaches for fatigue estimation and remaining useful life predictions of wind turbine blades. PHM Society European Conference. 3(1). 11 indexed citations
9.
Daigle, Matthew, Shankar Sankararaman, & Indranil Roychoudhury. (2016). System-level Prognostics for the National Airspace. Annual Conference of the PHM Society. 8(1). 6 indexed citations
10.
Saxena, Abhinav, Shankar Sankararaman, & Kai Goebel. (2014). Performance Evaluation for Fleet-based and Unit-based Prognostic Methods. PHM Society European Conference. 2(1). 22 indexed citations
11.
Sankararaman, Shankar, Abhinav Saxena, & Kai Goebel. (2014). Are Current Prognostic Performance Evaluation Practices Sufficient and Meaningful?. Annual Conference of the PHM Society. 6(1). 7 indexed citations
12.
Lam, Jack, et al.. (2014). Enhanced Trajectory Based Similarity Prediction with Uncertainty Quantification. Annual Conference of the PHM Society. 6(1). 11 indexed citations
13.
Sankararaman, Shankar, et al.. (2014). Uncertainty in Steady-State Diagnostics of a Current-Pressure Transducer: How Confident are We in Diagnosing Faults?. Annual Conference of the PHM Society. 6(1). 2 indexed citations
14.
Peng, Tishun, Abhinav Saxena, Kai Goebel, et al.. (2013). Probabilistic delamination diagnosis of composite materials using a novel Bayesian Imaging Method. Annual Conference of the PHM Society. 5(1). 1 indexed citations
15.
Sankararaman, Shankar & Kai Goebel. (2013). A Novel Computational Methodology for Uncertainty Quantification in Prognostics Using The Most Probable Point Concept. Annual Conference of the PHM Society. 5(1). 6 indexed citations
16.
Sankararaman, Shankar & Sankaran Mahadevan. (2012). Comprehensive Framework for Integration of Calibration, Verification and Validation. 9 indexed citations
17.
Sankararaman, Shankar, et al.. (2011). Uncertainty Quantification in Fatigue Crack Growth Prognosis. International Journal of Prognostics and Health Management. 2(1). 43 indexed citations
18.
Urbina, Angel, Laura Swiler, Shankar Sankararaman, & Sankaran Mahadevan. (2011). Decision Making Under Epistemic Uncertainty for a Complex Mechanical System. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 1 indexed citations
19.
Sankararaman, Shankar, et al.. (2011). Test Resource Allocation for Uncertainty Quantification of Multi-level and Coupled Systems. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 3 indexed citations
20.
Sankararaman, Shankar & Sankaran Mahadevan. (2011). Bayesian methodology for diagnosis uncertainty quantification and health monitoring. Structural Control and Health Monitoring. 20(1). 88–106. 63 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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