Eric B. Baum

34 papers and 1.9k indexed citations i.

About

Eric B. Baum is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Eric B. Baum has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 4 papers in Signal Processing. Recurrent topics in Eric B. Baum’s work include Neural Networks and Applications (7 papers), Machine Learning and Algorithms (7 papers) and Computability, Logic, AI Algorithms (5 papers). Eric B. Baum is often cited by papers focused on Neural Networks and Applications (7 papers), Machine Learning and Algorithms (7 papers) and Computability, Logic, AI Algorithms (5 papers). Eric B. Baum collaborates with scholars based in United States and Hong Kong. Eric B. Baum's co-authors include David Haussler, Frank Wilczek, John Moody, Gary William Flake, Kevin Lang, Warren D. Smith, Yuh‐Dauh Lyuu, Pierre Baldi, Charles Garrett and Dan Boneh and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Co-authorship network of co-authors of Eric B. Baum i

Fields of papers citing papers by Eric B. Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric B. Baum. 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 Eric B. Baum. The network helps show where Eric B. Baum may publish in the future.

Countries citing papers authored by Eric B. Baum

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025