K. G. Subramanian
- Metals and Alloys top 10%
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- semigroups and automata theory 24
- Cellular Automata and Applications 19
- Polymers and Plastics top 5%
- Mechanical Engineering top 5%
- Modular Robots and Swarm Intelligence 42
- Mechanics of Materials top 5%
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- DNA and Biological Computing 73
- Advanced biosensing and bioanalysis techniques 24
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- Algorithms and Data Compression 27
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- Electrodeposition and Electroless Coatings 8
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- Corrosion Behavior and Inhibition 8
- Co-authors
- Ashish Kumar NathRani SiromoneyE. SchulzT. RamanathanAlexander BismarckIbrahim VenkatA.V.R. ReddyK. S. Sastri
- Journals
- Materials Science and Engineering A (1 paper)Journal of Materials Science (1 paper)Industrial & Engineering Chemistry Research (1 paper)
- Partner nations
- IndiaUnited KingdomMalaysia
In The Last Decade
K. G. Subramanian
145 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Metals and Alloys 51
- Computational Theory and Mathematics 268
- Polymers and Plastics 235
- Mechanical Engineering 608
- Mechanics of Materials 343
Countries citing papers authored by K. G. Subramanian
This map shows the geographic impact of K. G. Subramanian'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 K. G. Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. G. Subramanian more than expected).
Fields of papers citing papers by K. G. Subramanian
This network shows the impact of papers produced by K. G. Subramanian. 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 K. G. Subramanian. The network helps show where K. G. Subramanian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. G. Subramanian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2023 | 12 | |
| 3 | 2020 | 1 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 3 | |
| 6 | 2017 | 2 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 2 | |
| 10 | 2017 | 5 | |
| 11 | Two-dimensional pattern languages. | 2013 | 0 |
| 12 | 2012 | 31 | |
| 13 | 2012 | 3 | |
| 14 | 2010 | 6 | |
| 15 | 2009 | 14 | |
| 16 | On the Inference of Linear Single Tree Grammars from Positive Structural Information. | 2007 | 0 |
| 17 | P SYSTEMS FOR ARRAY GENERATION AND APPLICATION TO KOLAM PATTERNS | 2006 | 13 |
| 18 | Learning of Regular Bi-omega Languages | 2002 | 1 |
| 19 | Regular control on NLC grammars. | 1985 | 1 |
| 20 | 1984 | 4 |
About K. G. Subramanian
K. G. Subramanian is a scholar working on Computational Theory and Mathematics, Mechanical Engineering and Discrete Mathematics and Combinatorics, having authored 159 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA and Biological Computing (73 papers), Modular Robots and Swarm Intelligence (42 papers), Algorithms and Data Compression (27 papers), semigroups and automata theory (24 papers), Advanced biosensing and bioanalysis techniques (24 papers), Cellular Automata and Applications (19 papers), Electrodeposition and Electroless Coatings (8 papers) and Corrosion Behavior and Inhibition (8 papers). The work is most often cited by research in Metals and Alloys (51 citations), Computational Theory and Mathematics (268 citations) and Polymers and Plastics (235 citations). K. G. Subramanian has collaborated with scholars based in India, United Kingdom and Malaysia. Frequent co-authors include Ashish Kumar Nath, Rani Siromoney, E. Schulz, T. Ramanathan, Alexander Bismarck, Ibrahim Venkat, A.V.R. Reddy, K. S. Sastri, Malathy Pushpavanam and V. Krishnasamy. Their work appears in journals such as Materials Science and Engineering A, Journal of Materials Science and Industrial & Engineering Chemistry Research.
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.