Ramarathnam Krishna Kumar

681 total citations
28 papers, 492 citations indexed

About

Ramarathnam Krishna Kumar is a scholar working on Mechanical Engineering, Surgery and Automotive Engineering. According to data from OpenAlex, Ramarathnam Krishna Kumar has authored 28 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Surgery and 7 papers in Automotive Engineering. Recurrent topics in Ramarathnam Krishna Kumar's work include Vehicle Dynamics and Control Systems (7 papers), Cardiac Valve Diseases and Treatments (5 papers) and Mechanical Engineering and Vibrations Research (5 papers). Ramarathnam Krishna Kumar is often cited by papers focused on Vehicle Dynamics and Control Systems (7 papers), Cardiac Valve Diseases and Treatments (5 papers) and Mechanical Engineering and Vibrations Research (5 papers). Ramarathnam Krishna Kumar collaborates with scholars based in India, Australia and Netherlands. Ramarathnam Krishna Kumar's co-authors include K. Balakrishnan, A. Chandrasekaran, Ralph Nanan, Jinman Kim, Somashekhar S. Hiremath, M. Singaperumal, Ashnil Kumar, Ann Quinton, V. Balamurugan and Rajan Ravichandran and has published in prestigious journals such as Scientific Reports, IEEE Access and Journal of Biomechanics.

In The Last Decade

Ramarathnam Krishna Kumar

25 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramarathnam Krishna Kumar India 12 178 142 115 86 80 28 492
Michel Rochette France 16 107 0.6× 182 1.3× 168 1.5× 44 0.5× 182 2.3× 65 690
Giuseppe D’Avenio Italy 17 392 2.2× 302 2.1× 231 2.0× 47 0.5× 371 4.6× 71 938
Charlène Mauger New Zealand 10 156 0.9× 41 0.3× 52 0.5× 37 0.4× 49 0.6× 17 300
Raúl Antón Spain 18 63 0.4× 75 0.5× 147 1.3× 160 1.9× 83 1.0× 66 802
James G. Kitchen United States 8 332 1.9× 49 0.3× 197 1.7× 63 0.7× 29 0.4× 15 539
Matts Karlsson Sweden 14 366 2.1× 233 1.6× 160 1.4× 66 0.8× 104 1.3× 43 662
Martin R. Pfaller United States 12 176 1.0× 91 0.6× 62 0.5× 21 0.2× 113 1.4× 23 372
M. B. Histand United States 10 143 0.8× 232 1.6× 37 0.3× 89 1.0× 100 1.3× 18 522
Susann Beier Australia 16 222 1.2× 295 2.1× 112 1.0× 48 0.6× 124 1.6× 41 535
Vincenzo Barbaro Italy 13 378 2.1× 127 0.9× 81 0.7× 18 0.2× 171 2.1× 22 560

Countries citing papers authored by Ramarathnam Krishna Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ramarathnam Krishna Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramarathnam Krishna Kumar. 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 Ramarathnam Krishna Kumar. The network helps show where Ramarathnam Krishna Kumar may publish in the future.

Co-authorship network of co-authors of Ramarathnam Krishna Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ramarathnam Krishna Kumar. A scholar is included among the top collaborators of Ramarathnam Krishna Kumar 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 Ramarathnam Krishna Kumar. Ramarathnam Krishna Kumar 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.
2.
Kumar, Ramarathnam Krishna, et al.. (2024). Li-Fi Based Infant Health Monitoring System. 622–626.
3.
Ravichandran, Rajan, et al.. (2022). An open label randomized clinical trial of Indomethacin for mild and moderate hospitalised Covid-19 patients. Scientific Reports. 12(1). 6413–6413. 25 indexed citations
4.
Kim, Jinman, et al.. (2021). Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks. IEEE Access. 9. 85864–85873. 15 indexed citations
5.
Balakrishnan, K., et al.. (2020). Design of a Percutaneous Left Ventricular Assist Device. 298–305.
6.
Kumar, Ashnil, et al.. (2019). Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks. Ultrasound in Medicine & Biology. 45(5). 1259–1273. 50 indexed citations
7.
Balamurugan, V., et al.. (2018). Effect of integrated ride and cornering dynamics of a military vehicle on the weapon responses. Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics. 232(4). 536–554. 6 indexed citations
8.
Kumar, Ramarathnam Krishna, et al.. (2016). Force and Moment Characteristics of a Rhombi Tessellated Non-Pneumatic Tire. Tire Science and Technology. 44(2). 130–148. 9 indexed citations
9.
Kumar, Ramarathnam Krishna, et al.. (2015). Aortic valve dynamics using a fluid structure interaction model – The physiology of opening and closing. Journal of Biomechanics. 48(10). 1737–1744. 17 indexed citations
10.
Kumar, Ramarathnam Krishna, et al.. (2014). In-vitro Validation of Image Guided Surgery System with 3D Pre-Operative Visualization for Atrial Transseptal Puncture. 14. 342–345. 2 indexed citations
11.
Kumar, Ramarathnam Krishna, et al.. (2014). A comparison of various algorithms to extract Magic Formula tyre model coefficients for vehicle dynamics simulations. Vehicle System Dynamics. 53(2). 154–178. 34 indexed citations
12.
Kumar, Ramarathnam Krishna, et al.. (2013). Effect of Calcification on Plaque Stresses and Vulnerability: A Finite Element Study. Mechanics of Advanced Materials and Structures. 20(4). 309–315. 2 indexed citations
13.
Murugavel, K. Kalidasa, et al.. (2010). Uterine adenomyosis and ovarian adenocarcinoma in a bitch. Indian Journal of Veterinary Pathology. 34(1). 40–42. 1 indexed citations
14.
Kumar, Ramarathnam Krishna, et al.. (2009). A study on the effect of different tyre imperfections on steering wheel vibration. Vehicle System Dynamics. 47(6). 753–770. 2 indexed citations
15.
Chandrasekaran, A., et al.. (2008). Finite element analysis of a subtrochanteric fractured femur with dynamic hip screw, dynamic condylar screw, and proximal femur nail implants — a comparative study. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 222(1). 117–127. 54 indexed citations
16.
Hiremath, Somashekhar S., M. Singaperumal, & Ramarathnam Krishna Kumar. (2007). Mathematical modelling and simulation of a jet pipe electrohydraulic flow control servo valve. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 221(3). 365–382. 24 indexed citations
17.
18.
Evans, A. William, Sung-Hyuk Cha, Charles C. Tappert, et al.. (2005). Computer assisted visual interactive recognition (CAVIAR) technology. 6 pp.–6. 10 indexed citations
19.
Kumar, Ramarathnam Krishna, et al.. (2004). Further insights into normal aortic valve function: role of a compliant aortic root on leaflet opening and valve orifice area. The Annals of Thoracic Surgery. 77(3). 844–851. 43 indexed citations
20.
Kumar, Ramarathnam Krishna, et al.. (2002). Dynamic analysis of the aortic valve using a finite element model. The Annals of Thoracic Surgery. 73(4). 1122–1129. 116 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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