Nesar Ramachandra

1.1k total citations
25 papers, 325 citations indexed

About

Nesar Ramachandra is a scholar working on Astronomy and Astrophysics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nesar Ramachandra has authored 25 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Astronomy and Astrophysics, 8 papers in Statistical and Nonlinear Physics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nesar Ramachandra's work include Galaxies: Formation, Evolution, Phenomena (7 papers), Model Reduction and Neural Networks (7 papers) and Cosmology and Gravitation Theories (4 papers). Nesar Ramachandra is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (7 papers), Model Reduction and Neural Networks (7 papers) and Cosmology and Gravitation Theories (4 papers). Nesar Ramachandra collaborates with scholars based in United States, Australia and Japan. Nesar Ramachandra's co-authors include Romit Maulik, Koji Fukagata, Kai Fukami, Kunihiko Taira, S. F. Shandarin, Georgios Valogiannis, Katrin Heitmann, Mustapha Ishak, Alfonso Aragón‐Salamanca and Christopher J. Conselice and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Nesar Ramachandra

22 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nesar Ramachandra United States 10 148 97 63 62 45 25 325
Elise Jennings United States 12 521 3.5× 70 0.7× 146 2.3× 49 0.8× 26 0.6× 23 659
N Jeffrey United Kingdom 9 156 1.1× 21 0.2× 38 0.6× 14 0.2× 19 0.4× 15 260
Ralf Kaehler United States 7 215 1.5× 48 0.5× 48 0.8× 59 1.0× 49 1.1× 11 326
L. Di Fiore Italy 13 226 1.5× 82 0.8× 14 0.2× 33 0.5× 22 0.5× 58 420
L. Galluccio France 10 289 2.0× 27 0.3× 106 1.7× 14 0.2× 38 0.8× 21 396
Itamar Reis Israel 8 219 1.5× 13 0.1× 32 0.5× 12 0.2× 9 0.2× 16 399
Ji-hoon Kim United States 14 614 4.1× 27 0.3× 244 3.9× 10 0.2× 22 0.5× 25 892
S. Cavuoti Italy 18 569 3.8× 15 0.2× 271 4.3× 66 1.1× 57 1.3× 45 722
Sang‐Yun Oh United States 8 308 2.1× 24 0.2× 23 0.4× 23 0.4× 36 0.8× 21 528
Dalya Baron Israel 14 448 3.0× 6 0.1× 139 2.2× 24 0.4× 27 0.6× 23 607

Countries citing papers authored by Nesar Ramachandra

Since Specialization
Citations

This map shows the geographic impact of Nesar Ramachandra'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 Nesar Ramachandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nesar Ramachandra more than expected).

Fields of papers citing papers by Nesar Ramachandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nesar Ramachandra. 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 Nesar Ramachandra. The network helps show where Nesar Ramachandra may publish in the future.

Co-authorship network of co-authors of Nesar Ramachandra

This figure shows the co-authorship network connecting the top 25 collaborators of Nesar Ramachandra. A scholar is included among the top collaborators of Nesar Ramachandra 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 Nesar Ramachandra. Nesar Ramachandra 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.
Ramachandra, Nesar, et al.. (2025). InferA: A Smart Assistant for Cosmological Ensemble Data. 20–28.
2.
Haan, T. de, Yuan-Sen Ting, Tirthankar Ghosal, et al.. (2025). Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model. Scientific Reports. 15(1). 13751–13751. 1 indexed citations
3.
4.
Bhaduri, Anindya, et al.. (2024). Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. Journal of Computing and Information Science in Engineering. 24(5). 2 indexed citations
5.
Ting, Yuan-Sen, Tirthankar Ghosal, Ren‐You Pan, et al.. (2024). AstroMLab 1: Who wins astronomy jeopardy!?. Astronomy and Computing. 51. 100893–100893.
6.
Hawkins, Keith, Yuan-Sen Ting, Nesar Ramachandra, et al.. (2023). Carbon-enhanced metal-poor star candidates from BP/RP spectra in Gaia DR3. Monthly Notices of the Royal Astronomical Society. 523(3). 4049–4066. 16 indexed citations
7.
8.
Lin, Yuewei, et al.. (2023). Neural Network Based Point Spread Function Deconvolution For Astronomical Applications. SHILAP Revista de lepidopterología. 6. 4 indexed citations
9.
Hearin, Andrew, et al.. (2022). Differentiable Predictions for Large Scale Structure with SHAMNet. SHILAP Revista de lepidopterología. 5(1). 10 indexed citations
10.
Ramachandra, Nesar, et al.. (2022). Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z. Monthly Notices of the Royal Astronomical Society. 515(2). 1927–1941. 5 indexed citations
11.
Storey-Fisher, Kate, Nesar Ramachandra, François Lanusse, et al.. (2021). Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks. Monthly Notices of the Royal Astronomical Society. 508(2). 2946–2963. 23 indexed citations
12.
Ramachandra, Nesar, Georgios Valogiannis, Mustapha Ishak, & Katrin Heitmann. (2021). Matter power spectrum emulator for f(R) modified gravity cosmologies. Physical review. D. 103(12). 40 indexed citations
13.
Conselice, Christopher J., et al.. (2021). Beyond the hubble sequence – exploring galaxy morphology with unsupervised machine learning. Monthly Notices of the Royal Astronomical Society. 503(3). 4446–4465. 41 indexed citations
14.
Ramachandra, Nesar, et al.. (2021). Peculiar velocity estimation from kinetic SZ effect using deep neural networks. Monthly Notices of the Royal Astronomical Society. 506(1). 1427–1437. 4 indexed citations
15.
Maulik, Romit, Kai Fukami, Nesar Ramachandra, Koji Fukagata, & Kunihiko Taira. (2020). Probabilistic neural networks for fluid flow surrogate modeling and data recovery. Physical Review Fluids. 5(10). 93 indexed citations
16.
Maulik, Romit, Kai Fukami, Nesar Ramachandra, Koji Fukagata, & Kunihiko Taira. (2020). Probabilistic neural networks for fluid flow model-order reduction and data recovery. arXiv (Cornell University). 2 indexed citations
17.
Ting, Yuan-Sen, et al.. (2020). From the inner to outer Milky Way: a photometric sample of 2.6 million red clump stars. Monthly Notices of the Royal Astronomical Society. 495(3). 3087–3103. 11 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.
Ramachandra, Nesar & S. F. Shandarin. (2017). Topology and geometry of the dark matter web: A multi-stream view. Monthly Notices of the Royal Astronomical Society. stx183–stx183. 11 indexed citations
20.
Ramachandra, Nesar & S. F. Shandarin. (2015). Multi-stream portrait of the cosmic web. Monthly Notices of the Royal Astronomical Society. 452(2). 1643–1653. 24 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 Elise Jennings Breakdown of academic impact, for papers by N Jeffrey Breakdown of academic impact, for papers by Ralf Kaehler Breakdown of academic impact, for papers by L. Di Fiore Breakdown of academic impact, for papers by L. Galluccio Breakdown of academic impact, for papers by Itamar Reis Breakdown of academic impact, for papers by Ji-hoon Kim Breakdown of academic impact, for papers by S. Cavuoti Breakdown of academic impact, for papers by Sang‐Yun Oh Breakdown of academic impact, for papers by Dalya Baron
Rankless by CCL
2026