Joel Dapello

2 papers and 210 indexed citations i.

About

Joel Dapello is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Joel Dapello has authored 2 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Cognitive Neuroscience and 1 paper in Media Technology. Recurrent topics in Joel Dapello’s work include Adversarial Robustness in Machine Learning (1 paper), Cell Image Analysis Techniques (1 paper) and Image Processing Techniques and Applications (1 paper). Joel Dapello is often cited by papers focused on Adversarial Robustness in Machine Learning (1 paper), Cell Image Analysis Techniques (1 paper) and Image Processing Techniques and Applications (1 paper). Joel Dapello collaborates with scholars based in United States, United Kingdom and Germany. Joel Dapello's co-authors include Artemy Kolchinsky, David Cox, Yamini Bansal, Madhu Advani, Brendan Tracey, Andrew Saxe, Martin Schrimpf, James J. DiCarlo and Tiago Marques and has published in prestigious journals such as Journal of Statistical Mechanics Theory and Experiment and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Joel Dapello i

Fields of papers citing papers by Joel Dapello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joel Dapello

Since Specialization
Citations

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

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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2025