Shashank Subramanian

931 total citations · 1 hit paper
11 papers, 194 citations indexed

About

Shashank Subramanian is a scholar working on Radiology, Nuclear Medicine and Imaging, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Shashank Subramanian has authored 11 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Atmospheric Science and 4 papers in Global and Planetary Change. Recurrent topics in Shashank Subramanian's work include Mathematical Biology Tumor Growth (4 papers), Meteorological Phenomena and Simulations (4 papers) and Climate variability and models (4 papers). Shashank Subramanian is often cited by papers focused on Mathematical Biology Tumor Growth (4 papers), Meteorological Phenomena and Simulations (4 papers) and Climate variability and models (4 papers). Shashank Subramanian collaborates with scholars based in United States, Switzerland and India. Shashank Subramanian's co-authors include George Biros, Jaideep Pathak, Anima Anandkumar, Thorsten Kurth, David Hall, Peter Harrington, Karthik Kashinath, Morteza Mardani, Amir Gholami and Klaudius Scheufele and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Annual Review of Biomedical Engineering and Neuro-Oncology.

In The Last Decade

Shashank Subramanian

8 papers receiving 186 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators

2023 98 citations Thorsten Kurth, Shashank Subramanian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shashank Subramanian United States	5	50	48	43	34	27	11	194
Zhen Zhu China	11	38 0.8×	111 2.3×	52 1.2×	120 3.5×	19 0.7×	40	404
Anne Estrade France	8	16 0.3×	14 0.3×	3 0.1×	12 0.4×	31 1.1×	25	311
Luigi Tommaso Luppino Norway	7	23 0.5×	151 3.1×		31 0.9×	104 3.9×	12	382
Naoko Kosaka Japan	8	84 1.7×	29 0.6×	3 0.1×	41 1.2×	18 0.7×	34	355
Christophe Collet France	11	23 0.5×	19 0.4×	3 0.1×	53 1.6×	40 1.5×	46	346
Janne Ojanen Finland	4	19 0.4×	7 0.1×	4 0.1×	16 0.5×	77 2.9×	5	263
Damian Podareanu Netherlands	6	30 0.6×	29 0.6×	1 0.0×	18 0.5×	94 3.5×	15	180
Ganggang Xu United States	10	24 0.5×	9 0.2×		39 1.1×	41 1.5×	38	306
Gabriele Lombardi Italy	10	34 0.7×	55 1.1×	1 0.0×	63 1.9×	79 2.9×	27	287
Ágnes Baran Hungary	9	60 1.2×	20 0.4×	1 0.0×	23 0.7×	104 3.9×	23	315

Countries citing papers authored by Shashank Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by Shashank Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Shashank Subramanian. A scholar is included among the top collaborators of Shashank Subramanian 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 Shashank Subramanian. Shashank Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Mahesh, Ankur, William D. Collins, Noah Brenowitz, et al.. (2025). Huge ensembles – Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators. Geoscientific model development. 18(17). 5575–5603. 2 indexed citations

2.

Mahesh, Ankur, William D. Collins, Noah Brenowitz, et al.. (2025). Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators. Geoscientific model development. 18(17). 5605–5633. 1 indexed citations

3.

Willard, Jared, et al.. (2025). Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(2). 2 indexed citations

4.

Subramanian, Shashank, Ermal Rrapaj, Peter Harrington, et al.. (2024). Comprehensive Performance Modeling and System Design Insights for Foundation Models. 1380–1397.

5.

Chen, Wuyang, et al.. (2024). Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. 6213–6245.

6.

Kurth, Thorsten, Shashank Subramanian, Peter Harrington, et al.. (2023). FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. 1–11. 98 indexed citations breakdown →

7.

Subramanian, Shashank, et al.. (2022). Ensemble Inversion for Brain Tumor Growth Models With Mass Effect. IEEE Transactions on Medical Imaging. 42(4). 982–995. 10 indexed citations

8.

Scheufele, Klaudius, Shashank Subramanian, & George Biros. (2020). Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. IEEE Transactions on Medical Imaging. 40(1). 193–204. 20 indexed citations

9.

Pati, Sarthak, Siddhesh Thakur, Hamed Akbari, et al.. (2020). TMOD-09. GLIOBLASTOMA BIOPHYSICAL GROWTH ESTIMATION USING DEEP LEARNING-BASED REGRESSION. Neuro-Oncology. 22(Supplement_2). ii229–ii229. 1 indexed citations

10.

Mang, Andreas, Spyridon Bakas, Shashank Subramanian, Christos Davatzikos, & George Biros. (2020). Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology. Annual Review of Biomedical Engineering. 22(1). 309–341. 32 indexed citations

11.

Subramanian, Shashank, Amir Gholami, & George Biros. (2019). Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect. Journal of Mathematical Biology. 79(3). 941–967. 28 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.

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