Mladen Victor Wickerhauser

Computer ScienceMathematics

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: “Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case–control study”.

Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case–control study

BMJ Open Diabetes Research & Care(2024)10.1136/bmjdrc-2023-003748

N/A

0DataRank · unranked

4 citations

Rashmi Muthukkumar, Ruth S. Weinstock, Mladen Victor Wickerhauser, Anna R. Kahkoska, Nikki L. B. Freeman

Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case-control study

UNC Libraries(2024)10.17615/xtc0-ed39

N/A

0DataRank · unranked

0 citations

Rashmi Muthukkumar, Ruth S. Weinstock, Anna R. Kahkoska, Mladen Victor Wickerhauser, Nikki L. B. Freeman