Ioannis Koutis
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- Advanced Graph Theory Research 11
- Matrix Theory and Algorithms 10
- Complexity and Algorithms in Graphs 9
- Computational Mathematics top 10%
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- Complex Network Analysis Techniques 6
- Hardware and Architecture top 10%
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- Sparse and Compressive Sensing Techniques 6
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- Graph theory and applications 6
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- VLSI and FPGA Design Techniques 5
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- Interconnection Networks and Systems 5
- Co-authors
- Gary L. MillerRichard PengDavid TolliverCharalampos E. TsourakakisEirinaios MichelakisChristos FaloutsosPetros DrineasA. Levin
- Cited by
- Computational Theory and MathematicsComputational MathematicsStatistical and Nonlinear Physics
- Journals
- Communications of the ACM (2 papers)ACM Transactions on Algorithms (2 papers)American Journal of Nephrology (1 paper)
- Partner nations
- United StatesPuerto RicoGreece
In The Last Decade
Ioannis Koutis
38 papers receiving 540 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 275
- Computational Mathematics 9
- Statistical and Nonlinear Physics 110
- Hardware and Architecture 48
- Computer Graphics and Computer-Aided Design 22
Countries citing papers authored by Ioannis Koutis
This map shows the geographic impact of Ioannis Koutis'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 Ioannis Koutis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Koutis more than expected).
Fields of papers citing papers by Ioannis Koutis
This network shows the impact of papers produced by Ioannis Koutis. 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 Ioannis Koutis. The network helps show where Ioannis Koutis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ioannis Koutis, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 0 | |
| 5 | Spectral Modification of Graphs for Improved Spectral Clustering | 2019 | 0 |
| 6 | Simple and Scalable Constrained Clustering: a Generalized Spectral Method | 2016 | 16 |
| 7 | 2016 | 10 | |
| 8 | 2015 | 10 | |
| 9 | 2012 | 3 | |
| 10 | 2012 | 1 | |
| 11 | 2012 | 13 | |
| 12 | Solving SDD linear systems in time Õ(mlog nlog(1/ε)) | 2011 | 1 |
| 13 | 2011 | 28 | |
| 14 | 2011 | 60 | |
| 15 | 2010 | 12 | |
| 16 | 2010 | 11 | |
| 17 | 2010 | 86 | |
| 18 | 2008 | 13 | |
| 19 | 2008 | 1 | |
| 20 | 2007 | 23 |
About Ioannis Koutis
Ioannis Koutis is a scholar working on Computational Theory and Mathematics, Structural Biology and Geometry and Topology, having authored 41 papers that have together received 569 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (11 papers), Matrix Theory and Algorithms (10 papers), Complexity and Algorithms in Graphs (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Complex Network Analysis Techniques (6 papers), Graph theory and applications (6 papers), VLSI and FPGA Design Techniques (5 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Computational Theory and Mathematics (275 citations), Computational Mathematics (9 citations) and Statistical and Nonlinear Physics (110 citations). Ioannis Koutis has collaborated with scholars based in United States, Puerto Rico and Greece. Frequent co-authors include Gary L. Miller, Richard Peng, David Tolliver, Charalampos E. Tsourakakis, Eirinaios Michelakis, Christos Faloutsos, Petros Drineas, A. Levin, Evimaria Terzi and Kanat Tangwongsan. Their work appears in journals such as Communications of the ACM, ACM Transactions on Algorithms, American Journal of Nephrology, Renal Failure and Microscopy and Microanalysis.
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.