C. M. Krishna

563 total citations
22 papers, 404 citations indexed

About

C. M. Krishna is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Ceramics and Composites. According to data from OpenAlex, C. M. Krishna has authored 22 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 10 papers in Electrical and Electronic Engineering and 5 papers in Ceramics and Composites. Recurrent topics in C. M. Krishna's work include Advanced Machining and Optimization Techniques (9 papers), Advanced machining processes and optimization (9 papers) and Aluminum Alloys Composites Properties (9 papers). C. M. Krishna is often cited by papers focused on Advanced Machining and Optimization Techniques (9 papers), Advanced machining processes and optimization (9 papers) and Aluminum Alloys Composites Properties (9 papers). C. M. Krishna collaborates with scholars based in India. C. M. Krishna's co-authors include M. Muralidhar, M. Chandrasekaran, Uday Shanker Dixit, Geeta Agnihotri, K. R. Aharwal, S. Suresh, Awadhesh Kumar, Ashish Kumar, Rajesh Singh and Ravi Kumar Mandava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Chemistry and Physics and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

C. M. Krishna

18 papers receiving 371 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. M. Krishna India 9 321 191 109 99 31 22 404
Balla Srinivasa Prasad India 14 524 1.6× 196 1.0× 80 0.7× 161 1.6× 13 0.4× 49 577
Ratnam Chanamala India 11 198 0.6× 89 0.5× 66 0.6× 76 0.8× 20 0.6× 37 354
S. Devaraj India 12 252 0.8× 131 0.7× 18 0.2× 120 1.2× 18 0.6× 45 389
Ali Ünüvar Türkiye 10 288 0.9× 110 0.6× 78 0.7× 104 1.1× 11 0.4× 20 342
Wenping Mou China 12 256 0.8× 87 0.5× 210 1.9× 76 0.8× 10 0.3× 22 391
J. Ramkumar India 9 246 0.8× 218 1.1× 17 0.2× 169 1.7× 26 0.8× 16 384
Bo Pang China 15 224 0.7× 354 1.9× 72 0.7× 119 1.2× 10 0.3× 68 583
Khaider Bouacha Algeria 5 485 1.5× 372 1.9× 92 0.8× 240 2.4× 8 0.3× 9 540
Mariluz Penalva Spain 11 287 0.9× 64 0.3× 79 0.7× 69 0.7× 18 0.6× 32 367
Mohamed F. Aly Egypt 13 149 0.5× 67 0.4× 105 1.0× 52 0.5× 68 2.2× 33 395

Countries citing papers authored by C. M. Krishna

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. M. Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Krishna. A scholar is included among the top collaborators of C. M. Krishna 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. M. Krishna. C. M. Krishna 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.
Krishna, C. M., et al.. (2025). Forecasting the future: LSTM-based load prediction for smart solar microgrids. AIP conference proceedings. 3280. 30004–30004. 2 indexed citations
3.
Krishna, C. M., et al.. (2025). Dry sliding and mechanical characteristics of aerospace grade aluminium composite reinforced with TiO2/BN particle. Materials Chemistry and Physics. 337. 130577–130577.
4.
Krishna, C. M., et al.. (2025). Development of smooth, asynchronous optimal trajectories for robotic manipulators performing assembly tasks. Industrial Robot the international journal of robotics research and application. 53(1). 114–129.
5.
Krishna, C. M., et al.. (2024). Mechanical and Microstructure Behavior of AA7050 Metal Matrix Composite Reinforced with TiO2/BN. International Journal of Metalcasting. 18(4). 3248–3262. 8 indexed citations
6.
Krishna, C. M., et al.. (2024). Investigating drilling characteristics of stir-squeeze cast Al6082 composites reinforced with MWCNTs. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 238(19). 9514–9526. 3 indexed citations
7.
Nand, Sachchida, et al.. (2023). Expert opinion based optimziation of CNC machining parameters for Al-CNT composites using fuzzy TOPSIS method. Engineering Research Express. 5(4). 45016–45016.
8.
Krishna, C. M., et al.. (2023). A novel approach of RSM-based TOPSIS-JAYA algorithm for optimization of ECM process parameters. Journal of the Chinese Institute of Engineers. 46(6). 628–637. 4 indexed citations
9.
Krishna, C. M., et al.. (2023). Effect of MWCNTs and heat treatment on coefficient of friction and wear characteristics of MWCNTs reinforced Al6082 composites under dry sliding condition. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 237(18). 4295–4306. 4 indexed citations
10.
Krishna, C. M., et al.. (2023). Multi-objective optimization of mechanical and microstructural characteristics in a stir casting process of MWCNTs/Al6082 composites using neutrosophic TOPSIS and GRA. Journal of the Chinese Institute of Engineers. 46(4). 345–354. 4 indexed citations
11.
Krishna, C. M., et al.. (2022). Analysis of elliptical dam bearing lubricated with micropolar fluid. Industrial Lubrication and Tribology. 74(2). 243–250. 4 indexed citations
12.
Krishna, C. M., et al.. (2022). Microstructural evolution and mechanical properties of multiwalled carbon nanotubes/Al6082 nanocomposites through optimized T6 heat treatment process. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 237(4). 1145–1157. 9 indexed citations
13.
Krishna, C. M., et al.. (2022). Synthesis and characterization of MWCNTs/Al6082 nanocomposites through ultrasonic assisted stir casting technique. Particulate Science And Technology. 41(2). 183–195. 15 indexed citations
14.
Krishna, C. M., et al.. (2022). Development of Al-SiC composite material from rice husk and its parametric assessment. Materials Research Express. 9(1). 16518–16518. 12 indexed citations
15.
Krishna, C. M., et al.. (2018). Modeling and Analysis of CNC Milling Process Parameters on Al3030 based Composite. IOP Conference Series Materials Science and Engineering. 346. 12073–12073. 4 indexed citations
16.
Krishna, C. M., et al.. (2015). Effect ofL/DRatio on the Performance of Two-Lobe Pressure Dam Bearing: Micropolar Lubricated. SHILAP Revista de lepidopterología. 2015. 1–7. 8 indexed citations
17.
Rehman, Ateekh Ur, et al.. (2014). Characterization of Chip Morphology for Aluminum Metal Matrix Composites in End Milling Machining. 2(7). 240–247. 1 indexed citations
18.
Agnihotri, Geeta, et al.. (2014). Selection of Optimum Process Parameters in High Speed CNC End-Milling of Composite Materials Using Meta Heuristic Techniques – a Comparative Study. Strojniški vestnik – Journal of Mechanical Engineering. 61(3). 176–186. 14 indexed citations
19.
20.
Chandrasekaran, M., M. Muralidhar, C. M. Krishna, & Uday Shanker Dixit. (2009). Application of soft computing techniques in machining performance prediction and optimization: a literature review. The International Journal of Advanced Manufacturing Technology. 46(5-8). 445–464. 273 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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