Ajay K. Kakkar

Also affiliated with University College London

MedicineHealth Professions

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: “Machine learning does not improve upon traditional regression in predicting outcomes in atrial fibrillation: an analysis of the ORBIT-AF and GARFIELD-AF registries”.

Machine learning does not improve upon traditional regression in predicting outcomes in atrial fibrillation: an analysis of the ORBIT-AF and GARFIELD-AF registries

EP Europace(2020)10.1093/europace/euaa172

N/A

0DataRank · unranked

27 citations

Suchit Mehrotra, Jonathan P. Piccini, A. John Camm, David L. Carlson, Gregg C. Fonarow +5 more

2022 international clinical practice guidelines for the treatment and prophylaxis of venous thromboembolism in patients with cancer, including patients with COVID-19

The Lancet Oncology(2022)10.1016/s1470-2045(22)00160-7

N/A

0DataRank · unranked

455 citations

Corinne Frère, Jean M. Connors, Alok A. Khorana, Ajay K. Kakkar, Cihan Ay +95 more