D. Vasudevan

1.1k total citations · 1 hit paper
35 papers, 923 citations indexed

About

D. Vasudevan is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, D. Vasudevan has authored 35 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 16 papers in Biomedical Engineering and 12 papers in Computational Mechanics. Recurrent topics in D. Vasudevan's work include Biodiesel Production and Applications (12 papers), Advanced Combustion Engine Technologies (11 papers) and Heat transfer and supercritical fluids (7 papers). D. Vasudevan is often cited by papers focused on Biodiesel Production and Applications (12 papers), Advanced Combustion Engine Technologies (11 papers) and Heat transfer and supercritical fluids (7 papers). D. Vasudevan collaborates with scholars based in India, Taiwan and United States. D. Vasudevan's co-authors include K. Muralidharan, K. N. Sheeba, S. Murugapoopathi, D. Senthilkumar, S. Surendhiran, P.V.A. Padmanabhan, P. Navaneethakrishnan, K.P. Padmanaban, N. Selvakumar and T. Ramachandran and has published in prestigious journals such as Applied Energy, Energy and Structural and Multidisciplinary Optimization.

In The Last Decade

D. Vasudevan

34 papers receiving 866 citations

Hit Papers

Performance, emission and combustion characteristics of a... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Vasudevan India 12 699 582 388 204 153 35 923
S. Senthur Prabu India 15 643 0.9× 502 0.9× 521 1.3× 132 0.6× 159 1.0× 69 1.0k
Hanbey Hazar Türkiye 17 752 1.1× 663 1.1× 350 0.9× 170 0.8× 268 1.8× 44 1.0k
Duran Altıparmak Türkiye 11 912 1.3× 668 1.1× 440 1.1× 160 0.8× 217 1.4× 22 1.1k
Cengiz Öner Türkiye 12 598 0.9× 480 0.8× 281 0.7× 142 0.7× 126 0.8× 30 836
Hakan Özcan Türkiye 14 571 0.8× 539 0.9× 224 0.6× 152 0.7× 231 1.5× 45 846
Harveer Singh Pali India 17 626 0.9× 305 0.5× 428 1.1× 98 0.5× 140 0.9× 64 837
G.R. Kannan India 14 812 1.2× 696 1.2× 439 1.1× 177 0.9× 245 1.6× 32 1.1k
Ekrem Büyükkaya Türkiye 9 899 1.3× 792 1.4× 458 1.2× 265 1.3× 278 1.8× 22 1.3k
Erkan Öztürk Türkiye 12 744 1.1× 622 1.1× 434 1.1× 150 0.7× 128 0.8× 24 1.0k
Rayapati Subbarao India 11 408 0.6× 359 0.6× 225 0.6× 119 0.6× 110 0.7× 31 589

Countries citing papers authored by D. Vasudevan

Since Specialization
Citations

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

Fields of papers citing papers by D. Vasudevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Vasudevan

This figure shows the co-authorship network connecting the top 25 collaborators of D. Vasudevan. A scholar is included among the top collaborators of D. Vasudevan 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 D. Vasudevan. D. Vasudevan 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.
Murugapoopathi, S., et al.. (2024). Sustainable emission reduction in CI engines using cerium nanoparticles and acetylene-cedar wood oil biofuel. Clean Technologies and Environmental Policy. 26(9). 3033–3049. 6 indexed citations
2.
Vasudevan, D., et al.. (2022). Performance analysis of vibration characteristics on VCR engine using hybrid honeycomb structure. Transactions of the Canadian Society for Mechanical Engineering. 47(1). 154–161. 1 indexed citations
3.
Vasudevan, D., et al.. (2021). Investigation of Spark Erosion Behavior of Rene 41 Alloy Using Powder Mixed Dielectric Fluid. Materials Research. 24(5). 4 indexed citations
4.
Vasudevan, D., et al.. (2020). Investigation on Tribological and mechanical behaviour of AA6082—Graphene based composites with Ti particles. Materials Research Express. 7(7). 76514–76514. 24 indexed citations
5.
Murugapoopathi, S. & D. Vasudevan. (2020). Experimental and numerical findings on VCR engine performance analysis on high FFA RSO biodiesel as fuel using RSM approach. Heat and Mass Transfer. 57(3). 495–513. 21 indexed citations
6.
Vasudevan, D., et al.. (2020). Response analysis of ultrasonic machining process under different materials – Review. Materials Today Proceedings. 45. 2340–2342. 1 indexed citations
7.
Vasudevan, D., et al.. (2020). Tribological and thermo-physical properties of jatropha oil containing TiO2 nanoparticles. Transactions of the Canadian Society for Mechanical Engineering. 45(2). 262–272. 5 indexed citations
8.
Murugapoopathi, S., et al.. (2020). Investigation on VCR engine performance using (Hevea brasiliensis) biodiesel using response surface method. Materials Today Proceedings. 37. 1096–1102. 4 indexed citations
9.
Murugapoopathi, S. & D. Vasudevan. (2019). Performance, combustion and emission characteristics on VCR multi-fuel engine running on methyl esters of rubber seed oil. Journal of Thermal Analysis and Calorimetry. 138(2). 1329–1343. 21 indexed citations
10.
Vasudevan, D., et al.. (2019). Optimization of laminated composite plates subjected to nonuniform thermal loads. Polymers and Polymer Composites. 27(6). 314–322. 8 indexed citations
11.
Murugapoopathi, S. & D. Vasudevan. (2018). Energy and exergy analysis on variable compression ratio multi-fuel engine. Journal of Thermal Analysis and Calorimetry. 136(1). 255–266. 42 indexed citations
12.
Vasudevan, D., et al.. (2015). Performance, combustion and emission characteristics of variable compression ratio engine fuelled with biodiesel.. International Journal of ChemTech Research. 7(1). 234–245. 7 indexed citations
13.
Padmanaban, K.P., et al.. (2014). Neural Network Based Buckling Strength Prediction of Laminated Composite Plate with Central Cutout. Applied Mechanics and Materials. 592-594. 560–564. 2 indexed citations
14.
Narayanan, G. & D. Vasudevan. (2014). Algorithm for Modeling Wire Cut Electrical Discharge Machine Parameters using Artificial Neural Network. 1 indexed citations
15.
Vasudevan, D., et al.. (2013). Prediction of bend force and bend angle in air bending of electrogalvanized steel using response surface methodology. Journal of Mechanical Science and Technology. 27(7). 2093–2105. 8 indexed citations
16.
Vasudevan, D., et al.. (2011). Experimental Investigations of Bend Force in Air Bending of Electrogalvanized Steel Sheets. Journal of Materials Engineering and Performance. 21(7). 1188–1192. 3 indexed citations
17.
Muralidharan, K., D. Vasudevan, & K. N. Sheeba. (2011). Performance, emission and combustion characteristics of biodiesel fuelled variable compression ratio engine. Energy. 36(8). 5385–5393. 207 indexed citations
18.
Vasudevan, D., et al.. (2011). Effect of process parameters on springback behaviour during air bending of electrogalvanised steel sheet. Journal of Zhejiang University. Science A. 12(3). 183–189. 22 indexed citations
19.
Vasudevan, D. & V. Selladurai. (2006). Average outgoing quality limit and lot tolerance percent defective indexed acceptance sampling plans using artificial neural networks. International Journal of Productivity and Quality Management. 1(4). 411–411. 1 indexed citations
20.
Vasudevan, D., et al.. (2005). Determination of Closed Form Solution for Acceptance Sampling Using ANN. PubMed. 11(1). 43–61. 6 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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