Gurunathan Saravana Kumar

1.2k total citations
79 papers, 823 citations indexed

About

Gurunathan Saravana Kumar is a scholar working on Mechanical Engineering, Surgery and Computational Mechanics. According to data from OpenAlex, Gurunathan Saravana Kumar has authored 79 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 21 papers in Surgery and 19 papers in Computational Mechanics. Recurrent topics in Gurunathan Saravana Kumar's work include Spine and Intervertebral Disc Pathology (17 papers), Spinal Fractures and Fixation Techniques (15 papers) and Medical Imaging and Analysis (14 papers). Gurunathan Saravana Kumar is often cited by papers focused on Spine and Intervertebral Disc Pathology (17 papers), Spinal Fractures and Fixation Techniques (15 papers) and Medical Imaging and Analysis (14 papers). Gurunathan Saravana Kumar collaborates with scholars based in India, United States and Netherlands. Gurunathan Saravana Kumar's co-authors include Venkatesh Krishnan, N. Subramanian, N. R. Neelakantan, R. Ganesh Narayanan, Narayan Yoganandan, S. G. Dhande, Prem Kalra, A. K. B. Chand, Palaniappan Ramu and K. Venkatesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Polymer and Expert Systems with Applications.

In The Last Decade

Gurunathan Saravana Kumar

68 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gurunathan Saravana Kumar India 18 313 243 200 174 123 79 823
Jorge Guillermo Díaz-Rodríguez Colombia 11 248 0.8× 316 1.3× 158 0.8× 208 1.2× 159 1.3× 44 814
Tomaž Brajlih Slovenia 14 127 0.4× 80 0.3× 152 0.8× 418 2.4× 432 3.5× 37 774
Igor Drstvenšek Slovenia 22 193 0.6× 80 0.3× 239 1.2× 771 4.4× 734 6.0× 62 1.3k
R. Krishnakumar India 13 58 0.2× 42 0.2× 46 0.2× 132 0.8× 51 0.4× 56 504
Qinghai Wang China 16 143 0.5× 104 0.4× 81 0.4× 248 1.4× 17 0.1× 46 797
Amit Roy Chowdhury India 19 185 0.6× 20 0.1× 560 2.8× 110 0.6× 118 1.0× 72 1.0k
Wuxiang Zhang China 15 51 0.2× 32 0.1× 662 3.3× 192 1.1× 76 0.6× 81 1.0k
Eduardo Alberto Fancello Brazil 18 94 0.3× 15 0.1× 232 1.2× 144 0.8× 47 0.4× 84 1.1k
Anindya Deb India 15 35 0.1× 33 0.1× 53 0.3× 318 1.8× 111 0.9× 101 874
Józef Jonak Poland 24 253 0.8× 25 0.1× 250 1.3× 426 2.4× 21 0.2× 106 1.3k

Countries citing papers authored by Gurunathan Saravana Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Gurunathan Saravana Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurunathan Saravana Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Gurunathan Saravana Kumar. A scholar is included among the top collaborators of Gurunathan Saravana 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 Gurunathan Saravana Kumar. Gurunathan Saravana 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
2.
Prasad, M. G., et al.. (2024). A novel class of zipper fractal Bézier curves and its graphics applications. Chaos Solitons & Fractals. 190. 115793–115793. 1 indexed citations
3.
4.
Kumar, Gurunathan Saravana, et al.. (2024). VSegNet – A Variant SegNet for Improving Segmentation Accuracy in Medical Images with Class Imbalance and Limited Data. 2(1). 36–48. 3 indexed citations
5.
Kumar, Gurunathan Saravana, et al.. (2023). Design of Novel Auxetic Hybrid Metamaterials: Experimental and Numerical Study. 17. 12–17. 1 indexed citations
6.
Kumar, Gurunathan Saravana, et al.. (2022). Data-Driven Modelling of Complex Current–Voltage Waveform Controlled Gas Metal Arc-Wire DED Processes. Metals and Materials International. 29(4). 1113–1131. 3 indexed citations
7.
Kumar, Gurunathan Saravana, et al.. (2022). Deep Learning Based Lumbar Metastases Detection and Classification from Computer Tomography Images. abs/1505.04597. 398–403. 1 indexed citations
8.
Yoganandan, Narayan, et al.. (2021). Vertebral Level-dependent Kinematics of Female and Male Necks Under G+x Loading. Military Medicine. 186(Supplement_1). 619–624. 1 indexed citations
9.
Kumar, Gurunathan Saravana, et al.. (2021). Classification of certain vertebral degenerations using MRI image features. Biomedical Physics & Engineering Express. 7(4). 45013–45013. 4 indexed citations
10.
Kumar, Gurunathan Saravana, et al.. (2020). Influence of cervical spine sagittal alignment on range of motion after corpectomy: a finite element study. Acta Neurochirurgica. 163(1). 251–257. 9 indexed citations
11.
Kumar, Gurunathan Saravana, et al.. (2020). FAMILY OF SHAPE PRESERVING FRACTAL-LIKE BÉZIER CURVES. Fractals. 28(6). 2050105–2050105. 5 indexed citations
12.
Kumar, Gurunathan Saravana, et al.. (2018). Surrogate Based Sensitivity Analysis of Part Strength due to Process Parameters in Fused Deposition Modelling. Procedia Computer Science. 133. 772–778. 6 indexed citations
13.
Yoganandan, Narayan, et al.. (2018). Influence of morphological variations on cervical spine segmental responses from inertial loading. Traffic Injury Prevention. 19(sup1). S29–S36. 22 indexed citations
14.
Kumar, Gurunathan Saravana, et al.. (2016). Automatic segmentation of vertebral contours from CT images using fuzzy corners. Computers in Biology and Medicine. 72. 75–89. 28 indexed citations
15.
Ramu, Palaniappan, et al.. (2016). Pull out strength calculator for pedicle screws using a surrogate ensemble approach. Computer Methods and Programs in Biomedicine. 137. 11–22. 22 indexed citations
16.
Venkatesh, K., et al.. (2014). Pull out strength of pedicle screw in normal and osteoporotic cancellous bone models. i. 458–463. 7 indexed citations
17.
Kumar, Gurunathan Saravana, et al.. (2014). Automatic initialization for segmentation of medical images based on active contour. 11. 446–451. 1 indexed citations
18.
Narayanan, R. Ganesh, et al.. (2009). An expert system based on artificial neural network for predicting the tensile behavior of tailor welded blanks. Expert Systems with Applications. 36(7). 10683–10695. 26 indexed citations
19.
Hegde, Sathyapal, Gurunathan Saravana Kumar, & K. Narayan Prabhu. (2006). Effect of section thickness and modification on thermal analysis parameters of A357 alloy. International Journal of Cast Metals Research. 19(4). 254–258. 2 indexed citations
20.
Kumar, Gurunathan Saravana, Prem Kalra, & S. G. Dhande. (2003). Hybridization of GA, ANN and classical optimization for B-spline curve fitting. 897–906. 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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