Jacob Hochhalter

EngineeringMaterials Science

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 3 papers. Top paper: “Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition”.

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

arXiv (Cornell University)(2023)10.48550/arxiv.2304.01117

N/A

0DataRank · unranked

9 citations

M. Virgolin, M. Kommenda, M. S. Majumder, Miles Cranmer, G. Espada +19 more

SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation

IEEE Transactions on Evolutionary Computation(2024)10.1109/tevc.2024.3423681

N/A

0DataRank · unranked

14 citations

Marco Virgolin, Michael Kommenda, M. S. Majumder, Miles Cranmer, G. Espada +19 more

Full-field strain measurements on medical devices using digital image correlation: Considerations and practical examples

Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials(2025)10.1016/j.jmbbm.2025.107020

N/A

0DataRank · unranked

3 citations

Hadi Mirmohammad, Jason D. Weaver, Daniel Porter, MaiQuyen Nguyen, Zhijiang He +4 more