Mahesh B. Parappagoudar

1.2k total citations
51 papers, 941 citations indexed

About

Mahesh B. Parappagoudar is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Mechanics of Materials. According to data from OpenAlex, Mahesh B. Parappagoudar has authored 51 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Mechanical Engineering, 14 papers in Industrial and Manufacturing Engineering and 13 papers in Mechanics of Materials. Recurrent topics in Mahesh B. Parappagoudar's work include Advanced machining processes and optimization (23 papers), Materials Engineering and Processing (17 papers) and Advanced Machining and Optimization Techniques (13 papers). Mahesh B. Parappagoudar is often cited by papers focused on Advanced machining processes and optimization (23 papers), Materials Engineering and Processing (17 papers) and Advanced Machining and Optimization Techniques (13 papers). Mahesh B. Parappagoudar collaborates with scholars based in India and South Africa. Mahesh B. Parappagoudar's co-authors include Prasad Krishna, Dilip Kumar Pratihar, G. C. Manjunath Patel, G. L. Datta, Pandu R. Vundavilli, Manjunath Patel Gowdru Chandrashekarappa, Manjunath Patel, Arun Kumar Shettigar, B. Surekha and Ganesh R. Chate and has published in prestigious journals such as Applied Soft Computing, Knowledge-Based Systems and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Mahesh B. Parappagoudar

51 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahesh B. Parappagoudar India 20 739 206 189 189 173 51 941
Bor‐Tsuen Lin Taiwan 15 421 0.6× 121 0.6× 149 0.8× 68 0.4× 204 1.2× 33 654
Mohd Idris Shah Ismail Malaysia 17 449 0.6× 97 0.5× 91 0.5× 69 0.4× 139 0.8× 82 770
Vimal Kumar Pathak India 18 506 0.7× 200 1.0× 88 0.5× 55 0.3× 123 0.7× 92 877
Liaqat Ali Pakistan 16 531 0.7× 194 0.9× 101 0.5× 62 0.3× 130 0.8× 58 841
Asish Bandyopadhyay India 20 912 1.2× 381 1.8× 135 0.7× 58 0.3× 178 1.0× 69 1.2k
S. Jack Hu United States 24 931 1.3× 153 0.7× 468 2.5× 67 0.4× 454 2.6× 65 1.5k
Sachin Kumar India 19 979 1.3× 75 0.4× 126 0.7× 330 1.7× 128 0.7× 38 1.1k
S. Raghuraman India 13 408 0.6× 87 0.4× 110 0.6× 59 0.3× 72 0.4× 69 603
Ana Vafadar Australia 16 971 1.3× 323 1.6× 94 0.5× 117 0.6× 174 1.0× 34 1.3k
Yongqing Wang China 17 677 0.9× 234 1.1× 92 0.5× 102 0.5× 190 1.1× 76 926

Countries citing papers authored by Mahesh B. Parappagoudar

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh B. Parappagoudar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahesh B. Parappagoudar. 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 Mahesh B. Parappagoudar. The network helps show where Mahesh B. Parappagoudar may publish in the future.

Co-authorship network of co-authors of Mahesh B. Parappagoudar

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh B. Parappagoudar. A scholar is included among the top collaborators of Mahesh B. Parappagoudar 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 Mahesh B. Parappagoudar. Mahesh B. Parappagoudar 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.
Math, M. C., et al.. (2021). Engine performance and exhaust emissions of Garcinia gummi-gutta based biodiesel–diesel and ethanol blends. SN Applied Sciences. 3(5). 7 indexed citations
2.
Chandrashekarappa, Manjunath Patel Gowdru, Ganesh R. Chate, Mahesh B. Parappagoudar, & Kapil Gupta. (2020). Machining of Hard Materials. SpringerBriefs in applied sciences and technology. 4 indexed citations
3.
Patel, G. C. Manjunath, Ganesh R. Chate, Mahesh B. Parappagoudar, & Kapil Gupta. (2020). Machining of Hard Materials : A Comprehensive Approach to Experimentation, Modeling and Optimization. 1 indexed citations
4.
Chate, Ganesh R., et al.. (2019). Multi Response Optimization of Green Sand Moulding Parameters Using Taguchi-DEAR Method. Applied Mechanics and Materials. 895. 1–7. 14 indexed citations
5.
Chate, Ganesh R., et al.. (2019). Comprehensive modelling, analysis and optimization of furan resin-based moulding sand system with sawdust as an additive. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41(4). 13 indexed citations
6.
Patel, G. C. Manjunath, et al.. (2019). Analysis and optimization of surface quality while machining high strength aluminium alloy. Measurement. 152. 107337–107337. 37 indexed citations
7.
Chate, Ganesh R., et al.. (2018). Study of the Effect of Nano-silica Particles on Resin-Bonded Moulding Sand Properties and Quality of Casting. Silicon. 10(5). 1921–1936. 27 indexed citations
8.
Chate, Ganesh R., Manjunath Patel, Anand S. Deshpande, & Mahesh B. Parappagoudar. (2017). Modeling and optimization of furan molding sand system using design of experiments and particle swarm optimization. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 232(5). 579–598. 22 indexed citations
9.
Patel, Manjunath, Prasad Krishna, & Mahesh B. Parappagoudar. (2016). Squeeze casting process modeling by a conventional statistical regression analysis approach. Applied Mathematical Modelling. 40(15-16). 6869–6888. 39 indexed citations
10.
Sharma, Sanjay, Siba Sankar Mahapatra, & Mahesh B. Parappagoudar. (2016). Benchmarking of product recovery alternatives in reverse logistics. Benchmarking An International Journal. 23(2). 406–424. 19 indexed citations
11.
Parappagoudar, Mahesh B., et al.. (2015). Modeling and Analysis of Mechanical Properties in Structural Steel-DOE Approach. Archives of Foundry Engineering. 15(4). 5–12. 9 indexed citations
12.
Patel, G. C. Manjunath, et al.. (2015). Modeling of Pressure Die Casting Process: An Artificial Intelligence Approach. International Journal of Metalcasting. 10(1). 70–87. 24 indexed citations
13.
Parappagoudar, Mahesh B., et al.. (2014). Modeling and multi-response optimization of pressure die casting process using response surface methodology. The International Journal of Advanced Manufacturing Technology. 77(1-4). 211–224. 32 indexed citations
14.
Sharma, Sanjay, et al.. (2013). A novel multi-criteria decision making approach for selection of reverse manufacturing alternative. International Journal of Services and Operations Management. 15(2). 176–176. 8 indexed citations
15.
Parappagoudar, Mahesh B. & Pandu R. Vundavilli. (2012). APPLICATION OF MODELING TOOLS IN MANUFACTURING TO IMPROVE QUALITY AND PRODUCTIVITY WITH CASE STUDY. 3 indexed citations
16.
Parappagoudar, Mahesh B., et al.. (2012). Forward and Reverse Mappings in die Casting Process by Neural Network-based Approaches. Journal for Manufacturing Science and Production. 12(1). 65–80. 6 indexed citations
17.
Surekha, B., Pandu R. Vundavilli, & Mahesh B. Parappagoudar. (2011). Forward and reverse mappings of the cement-bonded sand mould system using fuzzy logic. The International Journal of Advanced Manufacturing Technology. 61(9-12). 843–854. 5 indexed citations
18.
Surekha, B., et al.. (2011). Design of genetic fuzzy system for forward and reverse mapping of green sand mould system. International Journal of Cast Metals Research. 24(1). 53–64. 6 indexed citations
19.
Vundavilli, Pandu R., et al.. (2011). Fuzzy logic-based expert system for prediction of depth of cut in abrasive water jet machining process. Knowledge-Based Systems. 27. 456–464. 59 indexed citations
20.
Parappagoudar, Mahesh B., Dilip Kumar Pratihar, & G. L. Datta. (2008). Neural Network-Based Approaches for Forward and Reverse Mappings of Sodium Silicate-Bonded, Carbon Dioxide Gas Hardened Moulding Sand System. Materials and Manufacturing Processes. 24(1). 59–67. 22 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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