Sandeep Madireddy
- Biomedical Engineering
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Computational Mechanics top 10%
- Computer Networks and Communications
- Co-authors
- Kumar VemagantiPrasanna BalaprakashRomit MaulikDaniel LivescuArvind MohanBethany LuschRobert RossPhilip Carns
- Topics
- Advanced Data Storage Technologies (7 papers)Magnetic confinement fusion research (5 papers)Nuclear reactor physics and engineering (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyHardware and Architecture
- Journals
- Monthly Notices of the Royal Astronomical SocietyComputer Methods in Applied Mechanics and EngineeringPhysica D Nonlinear Phenomena
- Partner nations
- United StatesAustraliaNorway
In The Last Decade
Sandeep Madireddy
28 papers receiving 397 citations
Peers
Comparison fields: 5 of 79
- Biomedical Engineering 85
- Statistical and Nonlinear Physics 81
- Artificial Intelligence 66
- Computational Mechanics 65
- Computer Networks and Communications 57
Countries citing papers authored by Sandeep Madireddy
This map shows the geographic impact of Sandeep Madireddy'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 Sandeep Madireddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Madireddy more than expected).
Fields of papers citing papers by Sandeep Madireddy
This network shows the impact of papers produced by Sandeep Madireddy. 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 Sandeep Madireddy. The network helps show where Sandeep Madireddy may publish in the future.
Co-authorship network of co-authors of Sandeep Madireddy
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Madireddy. A scholar is included among the top collaborators of Sandeep Madireddy 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 Sandeep Madireddy. Sandeep Madireddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 31 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 0 | |
| 17 | Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images. | 1 |
| 18 | 9 | |
| 19 | 38 | |
| 20 | 73 |
About Sandeep Madireddy
Sandeep Madireddy is a scholar working on Computational Mathematics, Statistics, Probability and Uncertainty and Fluid Flow and Transfer Processes, having authored 36 papers that have together received 410 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Magnetic confinement fusion research (5 papers) and Nuclear reactor physics and engineering (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (81 citations), Statistics, Probability and Uncertainty (46 citations) and Hardware and Architecture (28 citations). Sandeep Madireddy has collaborated with scholars based in United States, Australia and Norway. Frequent co-authors include Kumar Vemaganti, Prasanna Balaprakash, Romit Maulik, Daniel Livescu, Arvind Mohan, Bethany Lusch, Robert Ross, Philip Carns, Stefan M. Wild and Gabriel Perdue. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Computer Methods in Applied Mechanics and Engineering and Physica D Nonlinear Phenomena.
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.