R. S. Milton

519 total citations
21 papers, 363 citations indexed

About

R. S. Milton is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, R. S. Milton has authored 21 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 9 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in R. S. Milton's work include Smart Grid Energy Management (9 papers), Microgrid Control and Optimization (8 papers) and Sentiment Analysis and Opinion Mining (3 papers). R. S. Milton is often cited by papers focused on Smart Grid Energy Management (9 papers), Microgrid Control and Optimization (8 papers) and Sentiment Analysis and Opinion Mining (3 papers). R. S. Milton collaborates with scholars based in United States, India and United Kingdom. R. S. Milton's co-authors include Yi Lu Murphey, Richard Walsh, V. Vaishnavi, Charles Rougé, Solomon Brown, Vinod Ravindran, T. T. Mirnalinee and Hugh W. Coleman and has published in prestigious journals such as Hydrology and earth system sciences, The Scientific World JOURNAL and Indian Journal of Science and Technology.

In The Last Decade

R. S. Milton

19 papers receiving 341 citations

Peers

R. S. Milton
Yiming He China
Mingyang Pei China
Eleni G. Mantouka Greece
Zafeiris Kokkinogenis Portugal
Fazal Syed United States
Anjan Rayamajhi United States
A. S. M. Bakibillah Japan
Yiming He China
R. S. Milton
Citations per year, relative to R. S. Milton R. S. Milton (= 1×) peers Yiming He

Countries citing papers authored by R. S. Milton

Since Specialization
Citations

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

Fields of papers citing papers by R. S. Milton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. S. Milton

This figure shows the co-authorship network connecting the top 25 collaborators of R. S. Milton. A scholar is included among the top collaborators of R. S. Milton 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 R. S. Milton. R. S. Milton 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
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Milton, R. S., et al.. (2023). Factoring textual reviews into user preferences in multi-criteria based content boosted hybrid filtering (MCCBHF) recommendation system. AI Communications. 36(3). 175–190. 1 indexed citations
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Milton, R. S., et al.. (2023). Technical note: Statistical generation of climate-perturbed flow duration curves. Hydrology and earth system sciences. 27(13). 2499–2507. 2 indexed citations
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Milton, R. S., et al.. (2020). Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems. Intelligent Data Analysis. 24(6). 1477–1496.
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Milton, R. S., et al.. (2019). Reinforcement Learning Approach to Improve Transmission Control Protocol. 3. 1–5. 1 indexed citations
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Milton, R. S., et al.. (2016). Multi agent systems based distributed control and automation of micro-grid using MACSimJX. 1–6. 7 indexed citations
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Milton, R. S., et al.. (2016). Autonomous Energy Management of a Micro-Grid using Multi Agent System. Indian Journal of Science and Technology. 9(13). 7 indexed citations
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Milton, R. S., et al.. (2016). Multiagent Systems Based Modeling and Implementation of Dynamic Energy Management of Smart Microgrid Using MACSimJX. The Scientific World JOURNAL. 2016. 1–14. 20 indexed citations
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Milton, R. S., et al.. (2015). Distributed Optimization of Solar Micro-grid Using Multi Agent Reinforcement Learning. Procedia Computer Science. 46. 231–239. 40 indexed citations
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Milton, R. S., et al.. (2015). Advanced automation in energy management of micro-grid using multi agent system. 1–4. 1 indexed citations
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Milton, R. S., et al.. (2015). Reinforcement Learning in Adaptive Control of Power System Generation. Procedia Computer Science. 46. 202–209. 11 indexed citations
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Milton, R. S., et al.. (2014). Multi agent reinforcement learning based distributed optimization of solar microgrid. 1–7. 15 indexed citations
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Milton, R. S., et al.. (2014). Reinforcement learning for optimal energy management of a solar microgrid. 183–188. 29 indexed citations
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Vaishnavi, V., et al.. (2013). Paraphrase identification in short texts using grammar patterns. 472–477. 6 indexed citations
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Murphey, Yi Lu, et al.. (2011). Intelligent vehicle power control based on effective roadway types and traffic congestion levels. 11. 190–195. 1 indexed citations
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Murphey, Yi Lu, et al.. (2009). Driver's style classification using jerk analysis. 23–28. 205 indexed citations
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Coleman, Hugh W., et al.. (1995). A connected-pipe facility for the evaluation of ducted rocket propellants. 31st Joint Propulsion Conference and Exhibit. 1 indexed citations
20.
Walsh, Richard, et al.. (1979). Measuring benefits and the economic value of water in recreation on high country reservoirs. Digital Collections of Colorado (Colorado State University). 7 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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