Ashim Garg
Impact in
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- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
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- Data Visualization and Analytics
- Digital Image Processing Techniques
- Graph Theory and Algorithms
Papers in
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- Computational Geometry and Mesh Generation 11
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- Graph Theory and Algorithms 6
- Data Visualization and Analytics 5
- Digital Image Processing Techniques 2
- Co-authors
- Roberto Tamassia (8 shared papers)Giuseppe Liotta (4 shared papers)Giuseppe Di Battista (4 shared papers)Adrian Rusu (4 shared papers)Francesco Vargiu (3 shared papers)Michael T. Goodrich (2 shared papers)
- Journals
- Computational Geometry (2 papers)Journal of Graph Algorithms and Applications (1 paper)SIAM Journal on Computing (1 paper)Software Practice and Experience (1 paper)Discrete Applied Mathematics (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Ashim Garg
15 papers receiving 270 citations
Peers
Comparison fields: 5 of 41
- Computer Graphics and Computer-Aided Design 217
- Computer Vision and Pattern Recognition 182
- Computational Theory and Mathematics 82
- Software 17
- Signal Processing 42
Countries citing papers authored by Ashim Garg
This map shows the geographic impact of Ashim Garg'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 Ashim Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashim Garg more than expected).
Fields of papers citing papers by Ashim Garg
This network shows the impact of papers produced by Ashim Garg. 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 Ashim Garg. The network helps show where Ashim Garg may publish in the future.
Co-authors
The 6 scholars most cited alongside Ashim Garg, 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 | 2001 | 86 | |
| 2 | 1997 | 75 | |
| 3 | 1996 | 24 | |
| 4 | 1993 | 19 | |
| 5 | 1995 | 19 | |
| 6 | 2004 | 18 | |
| 7 | 2000 | 12 | |
| 8 | 1995 | 11 | |
| 9 | 2007 | 9 | |
| 10 | 2003 | 9 | |
| 11 | 2000 | 9 | |
| 12 | 1998 | 7 | |
| 13 | An Interactive Visual Framework for Detecting Clusters of a Multidimensional Dataset | 2001 | 4 |
| 14 | 1999 | 4 | |
| 15 | Area-efficient drawings of outerplanar graphs | 2003 | 1 |
About Ashim Garg
Ashim Garg is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Signal Processing and Artificial Intelligence, having authored 15 papers that have together received 307 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (11 papers), Graph Theory and Algorithms (6 papers), Data Visualization and Analytics (5 papers), Data Management and Algorithms (3 papers), Advanced Graph Theory Research (3 papers), Remote Sensing and LiDAR Applications (2 papers), Digital Image Processing Techniques (2 papers) and Cellular Automata and Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (217 citations), Computer Vision and Pattern Recognition (182 citations), Computational Theory and Mathematics (82 citations), Software (17 citations) and Signal Processing (42 citations). Ashim Garg has collaborated with scholars based in United States and Italy. Frequent co-authors include Roberto Tamassia, Giuseppe Liotta, Giuseppe Di Battista, Adrian Rusu, Francesco Vargiu and Michael T. Goodrich. Their work appears in journals such as Computational Geometry, Journal of Graph Algorithms and Applications, SIAM Journal on Computing, Software Practice and Experience and Discrete Applied Mathematics.
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.