Mike Innes

655 total citations
4 papers, 216 citations indexed

About

Mike Innes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Mike Innes has authored 4 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Information Systems and Management. Recurrent topics in Mike Innes's work include Advanced Neural Network Applications (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Logic, programming, and type systems (1 paper). Mike Innes is often cited by papers focused on Advanced Neural Network Applications (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Logic, programming, and type systems (1 paper). Mike Innes collaborates with scholars based in India and Australia. Mike Innes's co-authors include and has published in prestigious journals such as The Journal of Open Source Software.

In The Last Decade

Mike Innes

4 papers receiving 204 citations

Peers

Mike Innes

AI

SNP

CSE

EEE

CVPR

Lynton Ardizzone Germany

Hongming Pu United States

Matteo Ceriotti United Kingdom

Andrzej Łuczak Poland

Gang Hu China

Giancarlo Raiconi Italy

Joseph Mueller United States

Guojie Song China

Jonas Latz United Kingdom

Hadrien Montanelli United States

Lynton Ardizzone Germany

Mike Innes

70 ×1.0

AI

27 ×0.9

SNP

18 ×0.7

CSE

12 ×0.5

EEE

42 ×2.5

CVPR

Citations per year, relative to Mike Innes Mike Innes (= 1×) peers Lynton Ardizzone

Countries citing papers authored by Mike Innes

Since Specialization

Citations

This map shows the geographic impact of Mike Innes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mike Innes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Innes more than expected).

Fields of papers citing papers by Mike Innes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Innes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mike Innes. The network helps show where Mike Innes may publish in the future.

No nodes

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Innes, Mike. (2020). Sense & Sensitivities: The Path to General-Purpose Algorithmic Differentiation. 2. 58–69. 1 indexed citations

2.

Innes, Mike, et al.. (2020). Interoperating Deep Learning models with ONNX.jl. 1(1). 59–59. 9 indexed citations

3.

Innes, Mike, et al.. (2020). WordTokenizers.jl: Basic tools for tokenizing natural language in Julia. The Journal of Open Source Software. 5(46). 1956–1956. 4 indexed citations

4.

Innes, Mike. (2018). Flux: Elegant machine learning with Julia. The Journal of Open Source Software. 3(25). 602–602. 202 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact