Abhinav Saxena

7.2k total citations · 3 hit papers
116 papers, 5.1k citations indexed

About

Abhinav Saxena is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Abhinav Saxena has authored 116 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Control and Systems Engineering, 22 papers in Mechanical Engineering and 21 papers in Mechanics of Materials. Recurrent topics in Abhinav Saxena's work include Fault Detection and Control Systems (51 papers), Machine Fault Diagnosis Techniques (19 papers) and Structural Health Monitoring Techniques (16 papers). Abhinav Saxena is often cited by papers focused on Fault Detection and Control Systems (51 papers), Machine Fault Diagnosis Techniques (19 papers) and Structural Health Monitoring Techniques (16 papers). Abhinav Saxena collaborates with scholars based in United States, India and Chile. Abhinav Saxena's co-authors include Kai Goebel, José Celaya, Bhaskar Saha, Neil Eklund, Sankalita Saha, Edward Balaban, Jon P. Christophersen, Saad Ashraf, George Vachtsevanos and Yongming Liu and has published in prestigious journals such as Expert Systems with Applications, Journal of Physics D Applied Physics and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Abhinav Saxena

103 papers receiving 4.9k citations

Hit Papers

Damage propagation modeling for aircraft engine run-to-fa... 2008 2026 2014 2020 2008 2008 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhinav Saxena United States 35 2.9k 1.3k 992 982 919 116 5.1k
Marcos E. Orchard Chile 35 2.4k 0.8× 874 0.7× 717 0.7× 1.3k 1.3× 1.3k 1.4× 179 4.2k
Bo‐Suk Yang South Korea 39 3.8k 1.3× 743 0.6× 2.0k 2.0× 800 0.8× 471 0.5× 109 5.9k
Weiwen Peng China 30 1.4k 0.5× 1.5k 1.2× 1.1k 1.2× 579 0.6× 640 0.7× 108 4.3k
Xiaosheng Si China 36 3.2k 1.1× 4.3k 3.4× 1.2k 1.2× 667 0.7× 1.3k 1.4× 137 6.8k
Kamal Medjaher France 32 2.7k 0.9× 916 0.7× 1.5k 1.5× 504 0.5× 234 0.3× 123 4.1k
David He United States 38 3.1k 1.0× 719 0.6× 2.3k 2.3× 501 0.5× 320 0.3× 162 5.5k
Piero Baraldi Italy 38 1.8k 0.6× 924 0.7× 639 0.6× 571 0.6× 204 0.2× 193 4.1k
Wenbin Wang China 26 2.0k 0.7× 3.0k 2.4× 780 0.8× 368 0.4× 692 0.8× 64 4.6k
Zhiwei Gao China 40 6.9k 2.3× 361 0.3× 1.6k 1.6× 1.5k 1.5× 464 0.5× 250 9.0k
Tao Yan China 16 3.2k 1.1× 1.2k 0.9× 1.9k 1.9× 333 0.3× 202 0.2× 52 4.4k

Countries citing papers authored by Abhinav Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Saxena

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Saxena. A scholar is included among the top collaborators of Abhinav Saxena 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 Abhinav Saxena. Abhinav Saxena 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.
Saxena, Abhinav, et al.. (2024). Fault Detection and Isolation in Simulated Batch Operation of Fine Motion Control Rod Drives. Nuclear Technology. 210(12). 2387–2403.
2.
Qu, Yongzhi, et al.. (2023). An Introduction to 2023 PHM Data Challenge: The Elephant in the Room and an Analysis of Competition Results. Annual Conference of the PHM Society. 15(1).
3.
Saxena, Abhinav, et al.. (2022). Leveraging Within-Bank Comparison for Anomaly Detection, Diagnostics, and Prognostics in Advanced Nuclear Power Plants. Annual Conference of the PHM Society. 14(1). 4 indexed citations
4.
Ramuhalli, Pradeep, et al.. (2022). Methodology for Online Sensor Recalibration. Annual Conference of the PHM Society. 14(1).
5.
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
6.
Chiachío, Juan, Manuel Chiachío, Abhinav Saxena, Guillermo Rus, & Kai Goebel. (2014). A Model-Based Prognostics Framework to Predict Fatigue Damage Evolution and Reliability in Composites. PHM Society European Conference. 2(1). 11 indexed citations
7.
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
8.
Ramasso, Emmanuel & Abhinav Saxena. (2014). Review and Analysis of Algorithmic Approaches Developed for Prognostics on CMAPSS Dataset. Annual Conference of the PHM Society. 6(1). 43 indexed citations
9.
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
10.
Saxena, Abhinav, et al.. (2013). An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites. Annual Conference of the PHM Society. 5(1). 12 indexed citations
11.
Saxena, Abhinav, José Celaya, Indranil Roychoudhury, et al.. (2012). Designing Data-Driven Battery Prognostic Approaches for Variable Loading Profiles: Some Lessons Learned. PHM Society European Conference. 1(1). 26 indexed citations
12.
Peng, Tishun, Jingjing He, Yongming Liu, et al.. (2012). Integrated fatigue damage diagnosis and prognosis under uncertainties. Annual Conference of the PHM Society. 4(1). 13 indexed citations
13.
Naveed, Abdul Khaliq, Jiaming Li, Bhaskar Saha, Abhinav Saxena, & George Vachtsevanos. (2012). A Reasoning Architecture for Expert Troubleshooting of Complex Processes. Annual Conference of the PHM Society. 4(1). 2 indexed citations
14.
Celaya, José, Abhinav Saxena, & Kai Goebel. (2012). Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation. Annual Conference of the PHM Society. 4(1). 35 indexed citations
15.
Guan, Xuefei, et al.. (2011). Comparison of Two Probabilistic Fatigue Damage Assessment Approaches Using Prognostic Performance Metrics. International Journal of Prognostics and Health Management. 2(1). 20 indexed citations
16.
Liu, Jie, Abhinav Saxena, Kai Goebel, Bhaskar Saha, & Wilson Wang. (2010). An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries. Annual Conference of the PHM Society. 2(1). 202 indexed citations
17.
Saxena, Abhinav, et al.. (2008). Damage propagation modeling for aircraft engine run-to-failure simulation. 1–9. 1127 indexed citations breakdown →
18.
Saxena, Abhinav, et al.. (2008). Damage Propagation Modeling for Aircraft Engine Prognostics. NASA STI Repository (National Aeronautics and Space Administration). 16 indexed citations
19.
Saxena, Abhinav & George Vachtsevanos. (2007). Optimum Feature Selection and Extraction for Fault Diagnosis and Prognosis.. National Conference on Artificial Intelligence. 103–107. 1 indexed citations
20.
Saxena, Abhinav & George Vachtsevanos. (2005). Processing Textual Information from Industrial Systems Using Semantic Networks.. Indian International Conference on Artificial Intelligence. 1762–1772. 1 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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