H. Ramesh
Impact in
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- Computational Geometry and Mesh Generation
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
Papers in
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- Advanced Graph Theory Research 5
- Complexity and Algorithms in Graphs 4
- Graph Labeling and Dimension Problems 2
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- Algorithms and Data Compression 4
- Co-authors
- Sanjiv Kapoor (2 shared papers)Vishwa Vinay (2 shared papers)Sunil Arya (1 shared paper)Vijay Kumar (3 shared papers)S. Muthukrishnan (1 shared paper)Gopal Pandurangan (1 shared paper)
- Journals
- SIAM Journal on Computing (2 papers)Random Structures and Algorithms (1 paper)Algorithmica (1 paper)Journal of Computer and System Sciences (1 paper)Information and Computation (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
H. Ramesh
14 papers receiving 265 citations
Peers
Comparison fields: 5 of 57
- Computer Graphics and Computer-Aided Design 37
- Computational Theory and Mathematics 137
- Artificial Intelligence 122
- Industrial and Manufacturing Engineering 37
- Discrete Mathematics and Combinatorics 9
Countries citing papers authored by H. Ramesh
This map shows the geographic impact of H. Ramesh'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 H. Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Ramesh more than expected).
Fields of papers citing papers by H. Ramesh
This network shows the impact of papers produced by H. Ramesh. 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 H. Ramesh. The network helps show where H. Ramesh may publish in the future.
Co-authors
The 6 scholars most cited alongside H. Ramesh, 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 | 1995 | 62 | |
| 2 | 1999 | 51 | |
| 3 | 2003 | 45 | |
| 4 | 1998 | 27 | |
| 5 | 2002 | 24 | |
| 6 | Covering Rectilinear Polygons with Axis-Parallel Rectangles | 2003 | 20 |
| 7 | 2000 | 20 | |
| 8 | 1995 | 15 | |
| 9 | 2002 | 12 | |
| 10 | 1993 | 8 | |
| 11 | 2000 | 5 | |
| 12 | Markovian Coupling vs. Conductance for the Jerrum-Sinclair Chain | 1999 | 2 |
| 13 | 1998 | 2 | |
| 14 | 2024 | 1 |
About H. Ramesh
H. Ramesh is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Molecular Biology and Mathematical Physics, having authored 14 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (5 papers), Complexity and Algorithms in Graphs (4 papers), Algorithms and Data Compression (4 papers), Computational Geometry and Mesh Generation (4 papers), Stochastic processes and statistical mechanics (2 papers), Markov Chains and Monte Carlo Methods (2 papers), DNA and Biological Computing (2 papers) and Graph Labeling and Dimension Problems (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (37 citations), Computational Theory and Mathematics (137 citations), Artificial Intelligence (122 citations), Industrial and Manufacturing Engineering (37 citations) and Discrete Mathematics and Combinatorics (9 citations). H. Ramesh has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Sanjiv Kapoor, Vishwa Vinay, Sunil Arya, Vijay Kumar, S. Muthukrishnan and Gopal Pandurangan. Their work appears in journals such as SIAM Journal on Computing, Random Structures and Algorithms, Algorithmica, Journal of Computer and System Sciences and Information and Computation.
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.