Satish Kumar

5.6k total citations · 2 hit papers
122 papers, 3.7k citations indexed

About

Satish Kumar is a scholar working on Mechanical Engineering, Materials Chemistry and Control and Systems Engineering. According to data from OpenAlex, Satish Kumar has authored 122 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Mechanical Engineering, 24 papers in Materials Chemistry and 21 papers in Control and Systems Engineering. Recurrent topics in Satish Kumar's work include Advanced machining processes and optimization (19 papers), Machine Fault Diagnosis Techniques (17 papers) and Advanced Machining and Optimization Techniques (13 papers). Satish Kumar is often cited by papers focused on Advanced machining processes and optimization (19 papers), Machine Fault Diagnosis Techniques (17 papers) and Advanced Machining and Optimization Techniques (13 papers). Satish Kumar collaborates with scholars based in India, Russia and United States. Satish Kumar's co-authors include Deborah Estrin, John Heidemann, Ramesh Govindan, Ketan Kotecha, Arunkumar Bongale, Shruti Patil, Pooja Kamat, Tsutomu Usami, Ajith Abraham and Nitin Khedkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Acta Materialia.

In The Last Decade

Satish Kumar

109 papers receiving 3.4k citations

Hit Papers

Next century challenges 1999 2026 2008 2017 1999 2023 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satish Kumar India 26 1.9k 933 908 499 320 122 3.7k
Jerker Delsing Sweden 25 1.0k 0.6× 163 0.2× 773 0.9× 361 0.7× 227 0.7× 204 2.8k
Satish Chand India 24 641 0.3× 339 0.4× 318 0.4× 366 0.7× 318 1.0× 193 2.1k
Gang Cheng China 24 346 0.2× 743 0.8× 402 0.4× 993 2.0× 195 0.6× 213 2.2k
Stefania Santini Italy 36 793 0.4× 539 0.6× 1.2k 1.3× 2.7k 5.5× 255 0.8× 192 4.7k
Yixin Yin China 28 386 0.2× 581 0.6× 299 0.3× 842 1.7× 580 1.8× 194 2.3k
Min Xia China 29 429 0.2× 1.6k 1.7× 643 0.7× 2.5k 5.0× 657 2.1× 112 4.4k
Jun Peng China 27 694 0.4× 257 0.3× 1.1k 1.3× 648 1.3× 284 0.9× 276 2.7k
Huaizhong Li Australia 38 261 0.1× 1.9k 2.1× 1.1k 1.2× 906 1.8× 613 1.9× 156 4.5k
Hassan Noura France 34 985 0.5× 320 0.3× 961 1.1× 2.0k 3.9× 965 3.0× 231 4.6k
Yan Yu China 29 1.6k 0.8× 214 0.2× 1.5k 1.6× 342 0.7× 243 0.8× 102 3.5k

Countries citing papers authored by Satish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Satish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satish Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Satish Kumar. A scholar is included among the top collaborators of Satish 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 Satish Kumar. Satish 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.
Dixit, Saurav, et al.. (2025). Effective skin cancer classification by modified and optimized inception-ResNet-V2 model. Scientific Reports. 15(1). 41150–41150.
3.
Kumar, Satish, et al.. (2024). Application of the Nadaraya-Watson estimator based attention mechanism to the field of predictive maintenance. MethodsX. 12. 102754–102754. 3 indexed citations
4.
Kamat, Pooja, et al.. (2024). Vibration-based anomaly pattern mining for remaining useful life (RUL) prediction in bearings. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46(5). 9 indexed citations
5.
Kumar, Satish, et al.. (2024). Enhancement of tool life using magneto-rheological fluid damping and tool wear prediction through deep learning model in milling. Engineering Applications of Artificial Intelligence. 137. 109265–109265. 4 indexed citations
6.
Bongale, Arunkumar, et al.. (2024). Milling Tool Wear Estimation Using Machine Learning with Feature Extraction Approach. 1–7. 2 indexed citations
7.
Kumar, Satish, et al.. (2024). Tool Wear Estimation Using Few-Shot Learning in Deep Neural Network Architectures. 1–6. 1 indexed citations
8.
Kumar, Satish, et al.. (2024). Deep learning with ensemble approach for early pile fire detection using aerial images. Frontiers in Environmental Science. 12. 2 indexed citations
9.
Kumar, Satish, et al.. (2024). Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation. Knowledge-Based Systems. 288. 111454–111454. 19 indexed citations
11.
Kumar, Satish, et al.. (2024). Multi-Objective Optimization of Friction Stir Processing Tool with Composite Material Parameters. Lubricants. 12(12). 428–428. 2 indexed citations
12.
Kumar, Satish, et al.. (2023). Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models. Sensors. 23(12). 5659–5659. 16 indexed citations
13.
Bongale, Arunkumar, et al.. (2023). An intelligent method for supply chain finance selection using supplier segmentation: A payment risk portfolio approach. Cleaner Logistics and Supply Chain. 8. 100115–100115. 6 indexed citations
14.
Bongale, Arunkumar, et al.. (2023). Tribological and Hardness Analyses of Friction-Stir-Processed Composites Using the Taguchi Approach. Materials. 16(1). 420–420. 5 indexed citations
15.
Bongale, Arunkumar, et al.. (2023). Microstructural and sensor data analysis of friction stir processing in fabricating Al6061 surface composites. Engineering Research Express. 5(1). 15065–15065. 1 indexed citations
16.
Bongale, Anupkumar M., et al.. (2021). Design and Implementation of EOICHD Based Clustered Routing Protocol Variants for Wireless Sensor Networks. Applied System Innovation. 4(2). 25–25. 4 indexed citations
17.
Doreswamy, Deepak, Anupkumar M. Bongale, Arunkumar Bongale, et al.. (2021). Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite. Materials. 14(21). 6420–6420. 32 indexed citations
18.
Bongale, Arunkumar, et al.. (2021). The effects of processing parameters on the formation of oxide layers in aluminium alloys using plasma electrolytic oxidation technique. Journal of the Mechanical Behavior of Materials. 30(1). 118–129. 5 indexed citations
19.
Kumar, Satish, et al.. (2019). Influence of deep cryogenic cooling on tool wear and surface roughness of coated tungsten carbide inserts using statistical techniques. Materials Research Express. 6(7). 76517–76517. 7 indexed citations
20.
Kumar, Satish, et al.. (2018). Influence of deep cryogenic treatment on dry sliding wear behaviour of AISI D3 die steel. Materials Research Express. 5(11). 116525–116525. 13 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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