Jacob Andreas

56 papers and 1.7k indexed citations i.

About

Jacob Andreas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jacob Andreas has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Jacob Andreas’s work include Topic Modeling (35 papers), Natural Language Processing Techniques (32 papers) and Multimodal Machine Learning Applications (13 papers). Jacob Andreas is often cited by papers focused on Topic Modeling (35 papers), Natural Language Processing Techniques (32 papers) and Multimodal Machine Learning Applications (13 papers). Jacob Andreas collaborates with scholars based in United States, United Kingdom and Israel. Jacob Andreas's co-authors include Dan Klein, Trevor Darrell, Marcus Rohrbach, Kate Saenko, Ronghang Hu, Mitchell Stern, Sergey Levine, Daniel Fried, Karl Moritz Hermann and Bevan Jones and has published in prestigious journals such as Nature Communications, Lecture notes in computer science and iScience.

In The Last Decade

Co-authorship network of co-authors of Jacob Andreas i

Fields of papers citing papers by Jacob Andreas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jacob Andreas

Since Specialization
Citations

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