C. Nataraj

2.6k total citations
152 papers, 1.9k citations indexed

About

C. Nataraj is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, C. Nataraj has authored 152 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Control and Systems Engineering, 70 papers in Mechanical Engineering and 17 papers in Civil and Structural Engineering. Recurrent topics in C. Nataraj's work include Gear and Bearing Dynamics Analysis (29 papers), Machine Fault Diagnosis Techniques (28 papers) and Tribology and Lubrication Engineering (26 papers). C. Nataraj is often cited by papers focused on Gear and Bearing Dynamics Analysis (29 papers), Machine Fault Diagnosis Techniques (28 papers) and Tribology and Lubrication Engineering (26 papers). C. Nataraj collaborates with scholars based in United States, Iran and India. C. Nataraj's co-authors include B. Samanta, C. A. Kitio Kwuimy, Hashem Ashrafiuon, Karthik Kappaganthu, H. D. Nelson, Peiman Naseradinmousavi, Grzegorz Litak, Farbod Fahimi, S. P. Harsha and Foad Nazari and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

C. Nataraj

144 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Nataraj United States 22 976 809 300 237 221 152 1.9k
Xin Zhang China 28 500 0.5× 1.0k 1.3× 521 1.7× 288 1.2× 598 2.7× 204 2.5k
Mark Lowenberg United Kingdom 23 830 0.9× 579 0.7× 308 1.0× 124 0.5× 127 0.6× 231 2.5k
Houguang Liu China 22 571 0.6× 390 0.5× 115 0.4× 161 0.7× 169 0.8× 118 1.7k
Dan Negruţ United States 28 1.0k 1.0× 513 0.6× 539 1.8× 176 0.7× 268 1.2× 172 2.2k
Werner Schiehlen Germany 33 2.3k 2.4× 1.3k 1.7× 969 3.2× 445 1.9× 394 1.8× 166 3.9k
Mansour Karkoub Qatar 23 841 0.9× 536 0.7× 379 1.3× 193 0.8× 153 0.7× 128 1.7k
Karolos Grigoriadis United States 32 3.5k 3.5× 424 0.5× 602 2.0× 192 0.8× 192 0.9× 258 4.7k
Meyer Nahon Canada 38 2.1k 2.2× 413 0.5× 271 0.9× 661 2.8× 145 0.7× 169 3.9k
Carlo L. Bottasso Italy 38 1.5k 1.6× 355 0.4× 561 1.9× 166 0.7× 422 1.9× 263 4.6k

Countries citing papers authored by C. Nataraj

Since Specialization
Citations

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

Fields of papers citing papers by C. Nataraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Nataraj

This figure shows the co-authorship network connecting the top 25 collaborators of C. Nataraj. A scholar is included among the top collaborators of C. Nataraj 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 C. Nataraj. C. Nataraj 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
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Liu, Zihan, et al.. (2024). Spatiotemporal flood depth and velocity dynamics using a convolutional neural network within a sequential Deep-Learning framework. Environmental Modelling & Software. 185. 106307–106307. 4 indexed citations
3.
Kappaganthu, Karthik, et al.. (2023). On extraction, ranking and selection of data-driven and physics-informed features for bearing fault diagnostics. Knowledge-Based Systems. 276. 110744–110744. 10 indexed citations
4.
Morgan, Ryan W., Ron Reeder, Stuart H. Friess, et al.. (2023). Abstract 384: The Association of End-Tidal Carbon Dioxide During Pediatric Cardiopulmonary Resuscitation With Survival Outcomes. Circulation. 148(Suppl_1). 2 indexed citations
5.
AL-Shudeifat, Mohammad A., et al.. (2022). Post-resonance backward whirl analysis in cracked overhung rotors. Scientific Reports. 12(1). 8517–8517. 5 indexed citations
6.
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Morgan, Ryan W., Vinay Nadkarni, Robert A. Berg, et al.. (2020). MLWAVE: A novel algorithm to classify primary versus secondary asphyxia-associated ventricular fibrillation. Resuscitation Plus. 5. 100052–100052.
8.
Jalali, Ali, Allan F. Simpao, Jorge A. Gálvez, Daniel J. Licht, & C. Nataraj. (2018). Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms. Journal of Medical Systems. 42(10). 177–177. 19 indexed citations
9.
Jalali, Ali, Allan F. Simpao, Vinay Nadkarni, Robert A. Berg, & C. Nataraj. (2016). A Novel Nonlinear Mathematical Model of Thoracic Wall Mechanics During Cardiopulmonary Resuscitation Based on a Porcine Model of Cardiac Arrest. Journal of Medical Systems. 41(2). 20–20. 5 indexed citations
10.
Kwuimy, C. A. Kitio, et al.. (2014). Fault Detection and Severity Analysis of Servo Valves Using Recurrence Quantification Analysis. Annual Conference of the PHM Society. 6(1). 11 indexed citations
11.
Jalali, Ali, Vinay Nadkarni, & C. Nataraj. (2014). Modeling mechanical properties of the chest during the cardiopulmonary resuscitation procedure. Computing in Cardiology Conference. 41. 13–16. 1 indexed citations
12.
Jalali, Ali, Robert A. Berg, Vinay Nadkarni, & C. Nataraj. (2012). Model based optimization of the cardiopulmonary resuscitation (CPR) procedure. PubMed. 2012. 715–718. 6 indexed citations
13.
Ghaffari, Ali, et al.. (2010). Heart arrhythmia detection using continuous wavelet transform and principal component analysis with neural network classifier. Computing in Cardiology. 669–672. 23 indexed citations
14.
Naseradinmousavi, Peiman & C. Nataraj. (2010). Nonlinear mathematical modeling of butterfly valves driven by solenoid actuators. Applied Mathematical Modelling. 35(5). 2324–2335. 53 indexed citations
15.
Samanta, Biswanath, Geoffrey L. Bird, Robert A. Zimmerman, et al.. (2009). Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence. Artificial Intelligence in Medicine. 46(3). 217–231. 19 indexed citations
16.
Samanta, B. & C. Nataraj. (2009). Morphological signal processing and computational intelligence for engineering system prognostics. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 223(8). 1095–1109. 6 indexed citations
17.
Samanta, Biswanath, Geoffrey L. Bird, Robert A. Zimmerman, et al.. (2009). Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms. Artificial Intelligence in Medicine. 46(3). 201–215. 33 indexed citations
18.
Samanta, Biswanath & C. Nataraj. (2008). Surface roughness prediction in machining using Computational Intelligence. International Journal of Manufacturing Research. 3(4). 379–392. 7 indexed citations
19.
Nersesov, Sergey G., et al.. (2007). Design of finite-time stabilizing controllers for nonlinear dynamical systems. 1740–1745. 2 indexed citations
20.
Nataraj, C., et al.. (2007). Mathematical simulation of combined trajectory paths of a seven link biped robot. Applied Mathematical Modelling. 32(7). 1445–1462. 17 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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