S.S. Mahapatra

3.9k total citations · 1 hit paper
97 papers, 3.1k citations indexed

About

S.S. Mahapatra is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, S.S. Mahapatra has authored 97 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanical Engineering, 24 papers in Industrial and Manufacturing Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in S.S. Mahapatra's work include Advanced machining processes and optimization (17 papers), Advanced Machining and Optimization Techniques (15 papers) and Manufacturing Process and Optimization (11 papers). S.S. Mahapatra is often cited by papers focused on Advanced machining processes and optimization (17 papers), Advanced Machining and Optimization Techniques (15 papers) and Manufacturing Process and Optimization (11 papers). S.S. Mahapatra collaborates with scholars based in India, Nepal and Thailand. S.S. Mahapatra's co-authors include Amar Patnaik, Alok Satapathy, Anoop Kumar Sood, Radha Raman Dash, Saurav Datta, Soumyakant Padhee, Mohammed Sadique Khan, Biranchi Panda, R. Sudhakara Pandian and H. B. Sahu and has published in prestigious journals such as Expert Systems with Applications, Wear and Fuel Processing Technology.

In The Last Decade

S.S. Mahapatra

90 papers receiving 2.8k citations

Hit Papers

Optimization of wire electrical discharge machining (WEDM... 2006 2026 2012 2019 2006 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
S.S. Mahapatra India 30 1.2k 644 569 538 484 97 3.1k
Y. Nukman Malaysia 31 1.9k 1.5× 735 1.1× 777 1.4× 367 0.7× 155 0.3× 119 3.3k
Raman Kumar India 31 1.2k 1.0× 737 1.1× 576 1.0× 442 0.8× 556 1.1× 168 3.5k
Saurav Datta India 35 2.3k 1.9× 1.7k 2.6× 1.1k 1.9× 541 1.0× 203 0.4× 209 4.1k
Michele Dassisti Italy 24 962 0.8× 854 1.3× 411 0.7× 825 1.5× 405 0.8× 90 3.5k
Pramod Kumar Jain India 31 1.5k 1.2× 602 0.9× 531 0.9× 1.5k 2.8× 233 0.5× 208 3.6k
Saurav Dixit India 33 1.4k 1.1× 529 0.8× 383 0.7× 296 0.6× 623 1.3× 228 3.7k
Anish Sachdeva India 24 1.0k 0.8× 391 0.6× 587 1.0× 348 0.6× 385 0.8× 131 2.2k
Qasim Murtaza India 22 1.2k 0.9× 254 0.4× 413 0.7× 156 0.3× 144 0.3× 155 2.6k
Steven J. Skerlos United States 35 1.1k 0.9× 809 1.3× 725 1.3× 480 0.9× 622 1.3× 115 4.6k
Peter Krajnik Sweden 24 2.3k 1.8× 1.0k 1.6× 1.1k 1.9× 503 0.9× 201 0.4× 82 2.9k

Countries citing papers authored by S.S. Mahapatra

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Mahapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.S. Mahapatra

This figure shows the co-authorship network connecting the top 25 collaborators of S.S. Mahapatra. A scholar is included among the top collaborators of S.S. Mahapatra 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 S.S. Mahapatra. S.S. Mahapatra 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.
Mishra, Sandeep Kumar, et al.. (2025). Design and Implementation of Electronics based IoT-Enabled Smart Health Monitoring System. South Eastern European Journal of Public Health. 1607–1616.
2.
Sahu, Ranjeet Kumar, et al.. (2017). Optimization of fused deposition modeling process parameters using a fuzzy inference system coupled with Taguchi philosophy. Advances in Manufacturing. 5(3). 231–242. 68 indexed citations
3.
Pandian, R. Sudhakara, et al.. (2016). An Ant Colony Optimization Algorithm for Cellular Manufacturing System. Applied Mechanics and Materials. 854. 133–141. 4 indexed citations
4.
Datta, Saurav, et al.. (2016). Application of TODIM (Tomada de Decisión Inerativa Multicritero) for industrial robot selection. Benchmarking An International Journal. 23(7). 1818–1833. 15 indexed citations
5.
Mohanty, Chinmaya P., et al.. (2013). Thermal-structural Analysis of Electrical Discharge Machining Process. Procedia Engineering. 51. 508–513. 31 indexed citations
6.
Singh, Manas Ranjan, S.S. Mahapatra, & Kaushik Mishra. (2013). A novel swarm optimiser for flexible flow shop scheduling. 1(1). 51–51. 3 indexed citations
7.
Mahapatra, S.S., et al.. (2012). Prediction of Water Quality Using Principal Component Analysis. 4(2). 93–104. 81 indexed citations
8.
Datta, Saurav, et al.. (2012). Supply Chain Agility Assessment Module in Fuzzy Paradigm. 1 indexed citations
9.
Sreekumar, Sreenu & S.S. Mahapatra. (2011). Performance modeling of Indian business schools: a DEA‐neural network approach. Benchmarking An International Journal. 18(2). 221–239. 33 indexed citations
10.
Nanda, Santosh Kumar, Debi Prasad Tripathy, & S.S. Mahapatra. (2011). Application of Legendre Neural Network for Air Quality Prediction. 16 indexed citations
11.
Patnaik, Bhaswati, et al.. (2011). Development of an instrument for measuring service quality of medical tourism in India. International Journal of Indian Culture and Business Management. 4(6). 589–589. 7 indexed citations
12.
Mahapatra, Sabita, et al.. (2010). Attribute selection in marketing: A rough set approach. IIMB Management Review. 22(1-2). 16–24. 13 indexed citations
13.
Sood, Anoop Kumar, Rajkumar Ohdar, & S.S. Mahapatra. (2010). Grey Taguchi Method for Improving Dimensional Accuracy of FDM Process. 13 indexed citations
14.
Sahu, H. B., et al.. (2010). A discrete particle swarm optimization approach for classification of Indian coal seams with respect to their spontaneous combustion susceptibility. Fuel Processing Technology. 92(3). 479–485. 15 indexed citations
15.
Mahapatra, S.S., et al.. (2009). A fuzzy multi-criteria decision making approach for supplier selection in supply chain management. AFRICAN JOURNAL OF BUSINESS MANAGEMENT. 3(4). 168–177. 29 indexed citations
16.
17.
Patnaik, Amar, Ashok Kumar Satapathy, S.S. Mahapatra, & Radha Raman Dash. (2008). Erosive Wear Assesment of Glass Reinforced Polyester-Flyash Composites Using Taguchi Method. International Polymer Processing. 23(2). 192–199. 27 indexed citations
18.
Mahapatra, S.S., et al.. (2007). Lean manufacturing in continuous process industry : An empirical study. Journal of Scientific & Industrial Research. 66(1). 19–27. 41 indexed citations
19.
Mahapatra, S.S. & Amar Patnaik. (2006). Optimization of wire electrical discharge machining (WEDM) process parameters using genetic algorithm. Indian Journal of Engineering and Materials Sciences. 13(6). 494–502. 26 indexed citations
20.
Mahapatra, S.S.. (2003). JIT-based manufacturing in India: Forecast by Min-Max Fuzzy Delphi. Journal of Scientific & Industrial Research. 62(5). 420–427. 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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