Nick Cammarata

10 total papers · 614 total citations
10 papers, 301 citations indexed

About

Nick Cammarata is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Nick Cammarata has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Nick Cammarata's work include Neural Networks and Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Nick Cammarata is often cited by papers focused on Neural Networks and Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Nick Cammarata collaborates with scholars based in United States and Canada. Nick Cammarata's co-authors include Gabriel Goh, Chris Olah, Ludwig Schubert, Michael Petrov, Chelsea Voss, Shan Carter, Alec Radford, Jacob Hilton and Swee Han Lim and has published in prestigious journals such as .

In The Last Decade

Nick Cammarata

10 papers receiving 276 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nick Cammarata 202 90 39 19 19 10 301
Rodrigo Cilla 156 0.8× 135 1.5× 7 0.2× 12 0.6× 14 0.7× 14 337
А.В. Куракин 275 1.4× 149 1.7× 16 0.4× 7 0.4× 13 0.7× 8 352
Jacky Casas 177 0.9× 34 0.4× 10 0.3× 4 0.2× 14 0.7× 11 315
Marco Ancona 158 0.8× 45 0.5× 15 0.4× 9 0.5× 14 0.7× 6 231
Yizhao Gao 141 0.7× 112 1.2× 15 0.4× 15 0.8× 80 4.2× 19 344
Shreyasi Pathak 190 0.9× 27 0.3× 49 1.3× 6 0.3× 7 0.4× 12 301
Mehrnoosh Sameki 123 0.6× 80 0.9× 19 0.5× 10 0.5× 3 0.2× 14 255
Zhaoshi Meng 159 0.8× 64 0.7× 36 0.9× 7 0.4× 13 0.7× 6 321
Suchin Gururangan 210 1.0× 43 0.5× 20 0.5× 2 0.1× 11 0.6× 12 264
Weitao Ma 213 1.1× 24 0.3× 12 0.3× 3 0.2× 11 0.6× 6 356

Countries citing papers authored by Nick Cammarata

Since Specialization
Citations

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

Fields of papers citing papers by Nick Cammarata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Cammarata

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Cammarata. A scholar is included among the top collaborators of Nick Cammarata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nick Cammarata. Nick Cammarata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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