Sandeep Madireddy

935 total citations
36 papers, 410 citations indexed

About

Sandeep Madireddy is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sandeep Madireddy has authored 36 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sandeep Madireddy's work include Advanced Data Storage Technologies (7 papers), Magnetic confinement fusion research (5 papers) and Nuclear reactor physics and engineering (5 papers). Sandeep Madireddy is often cited by papers focused on Advanced Data Storage Technologies (7 papers), Magnetic confinement fusion research (5 papers) and Nuclear reactor physics and engineering (5 papers). Sandeep Madireddy collaborates with scholars based in United States, Australia and Norway. Sandeep Madireddy's co-authors include Kumar Vemaganti, Prasanna Balaprakash, Arvind Mohan, Romit Maulik, Bethany Lusch, Daniel Livescu, Philip Carns, Robert Ross, Stefan M. Wild and Gabriel Perdue and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Computer Methods in Applied Mechanics and Engineering and Physica D Nonlinear Phenomena.

In The Last Decade

Sandeep Madireddy

28 papers receiving 397 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandeep Madireddy United States 10 85 81 66 65 57 36 410
Weiwei Fan China 14 61 0.7× 75 0.9× 59 0.9× 50 0.8× 62 1.1× 53 527
Tianshu Wang China 18 118 1.4× 38 0.5× 27 0.4× 116 1.8× 32 0.6× 72 860
Gundolf Haase Austria 17 122 1.4× 46 0.6× 21 0.3× 222 3.4× 46 0.8× 56 769
K. M. Heal United States 8 25 0.3× 25 0.3× 46 0.7× 30 0.5× 34 0.6× 14 466
Yannan Chen China 14 96 1.1× 39 0.5× 58 0.9× 125 1.9× 33 0.6× 40 638
L. McBride United States 8 70 0.8× 42 0.5× 59 0.9× 169 2.6× 23 0.4× 13 618
Shlomo Engelberg Israel 14 153 1.8× 39 0.5× 48 0.7× 138 2.1× 42 0.7× 63 611
Peiman Maghami United States 15 45 0.5× 55 0.7× 26 0.4× 78 1.2× 12 0.2× 67 794
Ryoji Takaki Japan 13 51 0.6× 65 0.8× 21 0.3× 329 5.1× 47 0.8× 58 549
Enrico Canuto Italy 17 58 0.7× 11 0.1× 28 0.4× 45 0.7× 56 1.0× 175 1.1k

Countries citing papers authored by Sandeep Madireddy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Emani, Murali, Sandeep Madireddy, Tung Nguyen, et al.. (2025). AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions. 72–85.
3.
4.
5.
6.
Madireddy, Sandeep, Scott Kruger, X. Sun, et al.. (2024). EFIT-Prime: Probabilistic and physics-constrained reduced-order neural network model for equilibrium reconstruction in DIII-D. Physics of Plasmas. 31(9). 3 indexed citations
7.
Ting, Yuan-Sen, Tirthankar Ghosal, Ren‐You Pan, et al.. (2024). AstroMLab 1: Who wins astronomy jeopardy!?. Astronomy and Computing. 51. 100893–100893.
8.
McClenaghan, J., X. Sun, Sandeep Madireddy, et al.. (2024). Augmenting machine learning of Grad–Shafranov equilibrium reconstruction with Green's functions. Physics of Plasmas. 31(8). 3 indexed citations
9.
Pedro, K., et al.. (2023). DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. Machine Learning Science and Technology. 4(2). 25013–25013. 8 indexed citations
10.
Snyder, Gregory F., Javier Sánchez, Gabriel Perdue, et al.. (2022). DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. Machine Learning Science and Technology. 3(3). 35007–35007. 14 indexed citations
11.
Madireddy, Sandeep, Prasanna Balaprakash, Philip Carns, et al.. (2022). A Taxonomy of Error Sources in HPC I/O Machine Learning Models. 1–14. 2 indexed citations
12.
Perdue, Gabriel, et al.. (2021). DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains. Monthly Notices of the Royal Astronomical Society. 506(1). 677–691. 31 indexed citations
13.
Madireddy, Sandeep, et al.. (2020). Toward Generalizable Models of I/O Throughput. 41–49. 4 indexed citations
14.
Madireddy, Sandeep, et al.. (2020). Calibration of hyperelastic constitutive models: the role of boundary conditions, search algorithms, and experimental variability. Biomechanics and Modeling in Mechanobiology. 19(5). 1935–1952. 7 indexed citations
15.
Madireddy, Sandeep, Ji Hwan Park, Sunwoo Lee, et al.. (2020). In situ compression artifact removal in scientific data using deep transfer learning and experience replay. Machine Learning Science and Technology. 2(2). 25010–25010.
16.
Maulik, Romit, Arvind Mohan, Bethany Lusch, et al.. (2020). Time-series learning of latent-space dynamics for reduced-order model closure. Physica D Nonlinear Phenomena. 405. 132368–132368. 78 indexed citations
17.
Madireddy, Sandeep, et al.. (2020). HPC I/O Throughput Bottleneck Analysis with Explainable Local Models. 1–13. 21 indexed citations
18.
Madireddy, Sandeep, Nan Li, Nesar Ramachandra, Prasanna Balaprakash, & Salman Habib. (2019). Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images.. arXiv (Cornell University). 1 indexed citations
19.
Madireddy, Sandeep, et al.. (2015). Bayesian calibration of hyperelastic constitutive models of soft tissue. Journal of the mechanical behavior of biomedical materials. 59. 108–127. 38 indexed citations
20.
Madireddy, Sandeep, et al.. (2015). A Bayesian approach to selecting hyperelastic constitutive models of soft tissue. Computer Methods in Applied Mechanics and Engineering. 291. 102–122. 73 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Weiwei Fan Breakdown of academic impact, for papers by Tianshu Wang Breakdown of academic impact, for papers by Gundolf Haase Breakdown of academic impact, for papers by K. M. Heal Breakdown of academic impact, for papers by Yannan Chen Breakdown of academic impact, for papers by L. McBride Breakdown of academic impact, for papers by Shlomo Engelberg Breakdown of academic impact, for papers by Peiman Maghami Breakdown of academic impact, for papers by Ryoji Takaki Breakdown of academic impact, for papers by Enrico Canuto
Rankless by CCL
2026