Parris K. Egbert

Computer ScienceEngineering

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 2 papers. Top paper: “Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for Use in Bio-microfluidics”.

Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for Use in Bio-microfluidics

International Journal of Thermophysics(2023)10.1007/s10765-023-03277-0

N/A

0DataRank · unranked

6 citations

Derek Sanchez, Brendan Mitchell, Troy Munro, Parris K. Egbert, Jacob Kullberg

Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for use in Bio-Microfluidics

Research Square(2023)10.21203/rs.3.rs-3311466/v1

N/A

0DataRank · unranked

0 citations

Derek Sanchez, Brendan Mitchell, Troy Munro, Parris K. Egbert, Jacob Kullberg