Juan Diego Toscano

Physics and AstronomyComputer ScienceMedicineNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “From PINNs to PIKANs: recent advances in physics-informed machine learning”.

From PINNs to PIKANs: recent advances in physics-informed machine learning

Machine learning for computational science and engineering(2025)10.1007/s44379-025-00015-1

N/A

0.788DataRank · unranked

190 citations

Vivek Oommen, Alan John Varghese, Zongren Zou, Nazanin Ahmadi Daryakenari, Chenxi Wu +2 more

KKANs: Kurková-Kolmogorov-Arnold networks and their learning dynamics

Neural Networks(2025)10.1016/j.neunet.2025.107831

N/A

0.515DataRank · unranked

30 citations

Li-Lian Wang, George Em Karniadakis, Juan Diego Toscano

Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification

Interface Focus(2024)10.1098/rsfs.2024.0030

N/A

0DataRank · unranked

9 citations

Chenxi Wu, Antonio Ladrón-de-Guevara, Ting Du, Maiken Nedergaard, Douglas H. Kelley +3 more

Learning in PINNs: Phase transition, diffusion equilibrium, and generalization

Neural Networks(2025)10.1016/j.neunet.2025.107983

N/A

0DataRank · unranked

9 citations

Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis, Sokratis Anagnostopoulos

FMEnets: Flow, material, and energy networks for non-ideal plug flow reactor design

Chemical Engineering Science(2025)10.1016/j.ces.2025.122348

N/A

0DataRank · unranked

3 citations

Juan Diego Toscano, Khemraj Shukla, Yingjie Chen, Ali Shahmohammadi, Edward Raymond +5 more