M. Ramasamy

1.1k total citations
67 papers, 784 citations indexed

About

M. Ramasamy is a scholar working on Control and Systems Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, M. Ramasamy has authored 67 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 21 papers in Mechanical Engineering and 20 papers in Ocean Engineering. Recurrent topics in M. Ramasamy's work include Fault Detection and Control Systems (21 papers), Petroleum Processing and Analysis (15 papers) and Advanced Control Systems Optimization (14 papers). M. Ramasamy is often cited by papers focused on Fault Detection and Control Systems (21 papers), Petroleum Processing and Analysis (15 papers) and Advanced Control Systems Optimization (14 papers). M. Ramasamy collaborates with scholars based in Malaysia, India and Iran. M. Ramasamy's co-authors include Haslinda Zabiri, S. Narayanan, Lemma Dendena Tufa, Umesh B. Deshannavar, Hilmi Mukhtar, Duvvuri Subbarao, Ku Zilati Ku Shaari, Suzana Yusup, Rajashekhar Pendyala and Totok R. Biyanto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Industrial & Engineering Chemistry Research.

In The Last Decade

M. Ramasamy

63 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ramasamy Malaysia 15 308 285 168 145 124 67 784
S. J. Pugh United Kingdom 11 205 0.7× 212 0.7× 112 0.7× 154 1.1× 96 0.8× 27 602
Haslinda Zabiri Malaysia 20 543 1.8× 680 2.4× 249 1.5× 119 0.8× 34 0.3× 93 1.2k
Yuqing Chang China 18 626 2.0× 663 2.3× 61 0.4× 139 1.0× 110 0.9× 120 1.1k
Changchun Wu China 19 116 0.4× 121 0.4× 94 0.6× 147 1.0× 222 1.8× 68 834
Shujing Zhang China 19 112 0.4× 144 0.5× 201 1.2× 41 0.3× 107 0.9× 53 1.0k
Chee Keong Tan Malaysia 13 352 1.1× 346 1.2× 73 0.4× 19 0.1× 27 0.2× 32 809
Jakob Kjøbsted Huusom Denmark 20 180 0.6× 658 2.3× 263 1.6× 30 0.2× 27 0.2× 110 1.3k
Claude Bazin Canada 18 509 1.7× 152 0.5× 190 1.1× 48 0.3× 41 0.3× 67 724
C. Riverol Trinidad and Tobago 13 116 0.4× 142 0.5× 193 1.1× 26 0.2× 29 0.2× 46 558
Vishnu Radhakrishnan India 10 272 0.9× 161 0.6× 69 0.4× 32 0.2× 17 0.1× 15 562

Countries citing papers authored by M. Ramasamy

Since Specialization
Citations

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

Fields of papers citing papers by M. Ramasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ramasamy

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ramasamy. A scholar is included among the top collaborators of M. Ramasamy 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 M. Ramasamy. M. Ramasamy 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.
Zabiri, Haslinda, et al.. (2023). Control of the Multi-Timescale Process Using Multiple Timescale Recurrent Neural Network-Based Model Predictive Control. Industrial & Engineering Chemistry Research. 2 indexed citations
2.
Deshannavar, Umesh B., et al.. (2021). Study of Extraction Kinetics of Total Polyphenols from Curry Leaves. International Journal of Chemical Engineering. 2021. 1–8. 8 indexed citations
3.
Deshannavar, Umesh B., et al.. (2021). Briquetting of Dry Sugarcane Leaves by Using Press Mud, Cow Dung, and Buffalo Dung as Binders. International Journal of Chemical Engineering. 2021. 1–12. 4 indexed citations
4.
Ramasamy, M., et al.. (2020). Flow pattern identification and measurement techniques in gas-liquid-liquid three-phase flow: A review. Flow Measurement and Instrumentation. 76. 101834–101834. 21 indexed citations
5.
Negash, Berihun Mamo, Lemma Dendena Tufa, & M. Ramasamy. (2018). System identification based proxy modeling of a reservoir under iWAG. IOP Conference Series Materials Science and Engineering. 458. 12055–12055. 2 indexed citations
6.
Yamamoto, Hiroki, Tomoko Suzuki, Tomohiro Nakamura, et al.. (2017). Online Anomaly Detection of Distillation Tower System Using Adaptive Resonance Theory. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 50(6). 430–438. 5 indexed citations
7.
Negash, Berihun Mamo, Lemma Dendena Tufa, & M. Ramasamy. (2016). Performance prediction of a reservoir under gas injection using Box-Jenkins model. International Journal of Oil Gas and Coal Technology. 2 indexed citations
8.
Biyanto, Totok R., et al.. (2016). Thermal and hydraulic impacts consideration in refinery crude preheat train cleaning scheduling using recent stochastic optimization methods. Applied Thermal Engineering. 108. 1436–1450. 20 indexed citations
9.
Suleman, Humbul, Haslinda Zabiri, Abdulhalim Shah Maulud, et al.. (2016). An overview on CO 2 removal via absorption: Effect of elevated pressures in counter-current packed column. Journal of Natural Gas Science and Engineering. 33. 666–677. 13 indexed citations
10.
Negash, Berihun Mamo, et al.. (2016). Conceptual Framework for Using System Identification in Reservoir Production Forecasting. Procedia Engineering. 148. 878–886. 2 indexed citations
11.
Ramasamy, M., et al.. (2014). 3D CFD Modeling and Simulation of RFCC Riser Hydrodynamics and Kinetics. Journal of Applied Sciences. 14(23). 3172–3181. 1 indexed citations
12.
Ramasamy, M., et al.. (2013). A NEW MINIMAL ENERGY INJECTION CONTROLSTRATEGY FOR DYNAMIC VOLTAGE RESTORERUSING FUZZY LOGIC CONTROLLER. International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering. 2(6). 2669–2676. 1 indexed citations
13.
Ramasamy, M., et al.. (2012). Effect of Bulk Temperature and Heating Regime on Crude Oil Fouling. 3 indexed citations
14.
Zabiri, Haslinda, et al.. (2011). Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems. 327–331. 2 indexed citations
15.
Ramasamy, M., et al.. (2010). Neural Network based Soft Sensor for Inferential Control of a Binary Distillation Column. Journal of Applied Sciences. 10(21). 2558–2564. 6 indexed citations
16.
Ramasamy, M., et al.. (2010). Steady State Modeling and Simulation of the Riser in an Industrial RFCC Unit. Journal of Applied Sciences. 10(24). 3207–3214.
17.
Tufa, Lemma Dendena, et al.. (2010). Improved method for development of parsimonious orthonormal basis filter models. Journal of Process Control. 21(1). 36–45. 13 indexed citations
18.
Zabiri, Haslinda, et al.. (2007). Development of Heat Exchanger Fouling Model and Preventive Maintenance Diagnostic Tool. Chemical Product and Process Modeling. 2(2). 4 indexed citations
19.
Ramasamy, M.. (2006). Modeling of Grinding in a Laboratory Continuous Ball Mill for Dynamic Studies. Chemical Product and Process Modeling. 1(1). 2 indexed citations
20.
Ramasamy, M., et al.. (2004). Control of ball mill grinding circuit using model predictive control scheme. Journal of Process Control. 15(3). 273–283. 106 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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