Thomas Vandal

992 total citations
17 papers, 466 citations indexed

About

Thomas Vandal is a scholar working on Global and Planetary Change, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Vandal has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Vandal's work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (6 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Thomas Vandal is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Climate variability and models (6 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Thomas Vandal collaborates with scholars based in United States, Japan and Mexico. Thomas Vandal's co-authors include Auroop R. Ganguly, Evan Kodra, Sangram Ganguly, Ramakrishna Nemani, Andrew Michaelis, Daniel McDuff, Kate Duffy, Weile Wang, Rana el Kaliouby and Shuang Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Remote Sensing.

In The Last Decade

Thomas Vandal

16 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Vandal United States	9	269	244	89	75	34	17	466
Ahmad Ghasemi Iran	12	309 1.1×	169 0.7×	73 0.8×	36 0.5×	15 0.4×	31	561
Dengrong Zhang China	12	123 0.5×	116 0.5×	104 1.2×	45 0.6×	47 1.4×	41	430
Elisabetta Ricciardelli Italy	13	286 1.1×	258 1.1×	23 0.3×	102 1.4×	52 1.5×	33	484
Gay Jane Perez Philippines	9	157 0.6×	198 0.8×	29 0.3×	52 0.7×	96 2.8×	15	611
Le’an Qu China	8	247 0.9×	96 0.4×	26 0.3×	79 1.1×	104 3.1×	16	388
Paul Bodesheim Germany	9	228 0.8×	102 0.4×	66 0.7×	30 0.4×	86 2.5×	24	474
Hongshuo Wang China	12	431 1.6×	124 0.5×	84 0.9×	84 1.1×	214 6.3×	30	692
Jiayong Liang United States	8	269 1.0×	151 0.6×	73 0.8×	83 1.1×	46 1.4×	16	484
Stefano D’Aronco Switzerland	9	107 0.4×	41 0.2×	142 1.6×	54 0.7×	46 1.4×	23	327

Countries citing papers authored by Thomas Vandal

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Vandal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Vandal

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

All Works

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17 of 17 papers shown

Hicks, M., et al.. (2024). Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting. npj Climate and Atmospheric Science. 7(1). 282–282. 10 indexed citations

Duffy, Kate, Thomas Vandal, & Ramakrishna Nemani. (2022). Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature. IEEE Access. 10. 89221–89231. 3 indexed citations

Duffy, Kate, Thomas Vandal, Weile Wang, Ramakrishna Nemani, & Auroop R. Ganguly. (2022). A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Transactions on Neural Networks and Learning Systems. 34(7). 3345–3356. 10 indexed citations

Vandal, Thomas, et al.. (2022). Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1807–1815. 1 indexed citations

Vandal, Thomas, Daniel McDuff, Weile Wang, et al.. (2021). Spectral Synthesis for Geostationary Satellite-to-Satellite Translation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 14 indexed citations

Vandal, Thomas & Ramakrishna Nemani. (2021). Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow. IEEE Transactions on Neural Networks and Learning Systems. 34(7). 3245–3254. 4 indexed citations

Vandal, Thomas, et al.. (2020). Data Science for Weather Impacts on Crop Yield. Frontiers in Sustainable Food Systems. 4. 44 indexed citations

Nemani, Ramakrishna, Weile Wang, Hirofumi Hashimoto, et al.. (2020). GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems. 128–131. 6 indexed citations

Duffy, Kate, et al.. (2019). DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers in Big Data. 2. 42–42. 2 indexed citations

10.

Li, Shuang, Weile Wang, Hirofumi Hashimoto, et al.. (2019). First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI. Remote Sensing. 11(24). 2990–2990. 26 indexed citations

11.

Michaelis, Andrew, et al.. (2018). Compressing Earth science datasets with quantum-assisted machine learning algorithms. AGUFM. 2018.

12.

Vandal, Thomas. (2018). Super-Resolution and Deep Learning for Climate Downscaling. 1 indexed citations

13.

Vandal, Thomas, Evan Kodra, & Auroop R. Ganguly. (2018). Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation. Theoretical and Applied Climatology. 137(1-2). 557–570. 114 indexed citations

14.

Vandal, Thomas, Evan Kodra, Sangram Ganguly, et al.. (2018). Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. 5389–5393. 57 indexed citations

15.

Vandal, Thomas, Evan Kodra, Sangram Ganguly, et al.. (2017). DeepSD. 1663–1672. 160 indexed citations

16.

Vandal, Thomas, et al.. (2017). Prediction and Uncertainty Quantification of Daily Airport Flight Delays.. 45–51. 1 indexed citations

17.

Vandal, Thomas, Daniel McDuff, & Rana el Kaliouby. (2015). Event detection: Ultra large-scale clustering of facial expressions. 1–8. 13 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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