Micah Goldblum

About

Micah Goldblum is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Micah Goldblum has authored 22 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Micah Goldblum’s work include Adversarial Robustness in Machine Learning (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Neural Network Applications (5 papers). Micah Goldblum is often cited by papers focused on Adversarial Robustness in Machine Learning (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Neural Network Applications (5 papers). Micah Goldblum collaborates with scholars based in United States, China and Germany. Micah Goldblum's co-authors include Tom Goldstein, Liam Fowl, Jonas Geiping, Soheil Feizi, Avi Schwarzschild, Valeriia Cherepanova, Bo Li, Aleksander Mądry, Dimitris Tsipras and Dawn Song and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Micah Goldblum i

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Fields of papers citing papers by Micah Goldblum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Micah Goldblum

Since Specialization

Citations

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