Magnus J. Johansson

Chemistry

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: “A Hybrid Machine-Learning Approach to Predict the Iridium-Catalyzed Borylation of C–H Bonds”.

A Hybrid Machine-Learning Approach to Predict the Iridium-Catalyzed Borylation of C–H Bonds

ChemRxiv(2022)10.26434/chemrxiv-2022-7qw68

N/A

0DataRank · unranked

7 citations

Masha Elkin, Golsa Gheibi, Magnus J. Johansson, Christian Sköld, Per‐Ola Norrby +2 more

Hybrid Machine Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation

Journal of the American Chemical Society(2023)10.1021/jacs.3c04986

N/A

0DataRank · unranked

63 citations

Masha Elkin, Golsa Gheibi, Magnus J. Johansson, Christian Sköld, Per‐Ola Norrby +2 more

A Hybrid Machine-Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation

ChemRxiv(2023)10.26434/chemrxiv-2022-7qw68-v2

N/A

0DataRank · unranked

6 citations

Masha Elkin, Golsa Gheibi, Magnus J. Johansson, Christian Sköld, Per‐Ola Norrby +2 more