Christopher Olah

3.8k citations
3 papers · 1.5k · 2 hit papers · h-index 3

Impact in

Papers in

Christopher Olah

3 papers receiving 1.4k citations

Christopher Olah's Hit Papers

Conditional Image Synthesis With Auxiliary Classifier GANs 2016 · 1.2k citations
1.2k0+3+7Years since publication2505007501000

Peers

Christopher Olah
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 966
  • Computer Graphics and Computer-Aided Design 85
  • Artificial Intelligence 553
  • Media Technology 91
  • Signal Processing 114
Replace Aravindh Mahendran with:
Aravindh Mahendran United States
Zunlei Feng China
Nataniel Ruiz United States
Youngjung Uh South Korea
Hsin-Ying Lee United States
Löıc Matthey United States
Gilson A. Giraldi Brazil
Arka Pal United States
Mircea Cimpoi United Kingdom
Christopher Olah relative to Aravindh Mahendran United States Aravindh Mahendran's profile →
Citations per field
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Aravindh Mahendran · 1×
Citations per year

Countries citing papers authored by Christopher Olah

Since Specialization
Citations

This map shows the geographic impact of Christopher Olah'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 Christopher Olah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Olah more than expected).

Fields of papers citing papers by Christopher Olah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Olah. 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 Christopher Olah. The network helps show where Christopher Olah may publish in the future.

Co-authors

The 4 scholars most cited alongside Christopher Olah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Olah Line = papers co-authored together Christopher Olah links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Conditional Image Synthesis With Auxiliary Classifier GANs
Hit paper breakdown →
20161157
2
Inceptionism: Going Deeper into Neural Networks
Hit paper breakdown →
2015338
3 20178

About Christopher Olah

Christopher Olah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biophysics and Infectious Diseases, having authored 3 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (1 paper), Image Processing Techniques and Applications (1 paper), Cell Image Analysis Techniques (1 paper), Advanced Image Processing Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (966 citations), Computer Graphics and Computer-Aided Design (85 citations), Artificial Intelligence (553 citations), Media Technology (91 citations) and Signal Processing (114 citations). Christopher Olah has collaborated with scholars based in United States. Frequent co-authors include Augustus Odena, Jonathon Shlens, Alexander Mordvintsev and Mike Tyka. Their work appears in journals such as arXiv (Cornell University).

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.

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