Joe Neeman

30 papers and 416 indexed citations i.

About

Joe Neeman is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Joe Neeman has authored 30 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 11 papers in Computational Theory and Mathematics and 8 papers in Artificial Intelligence. Recurrent topics in Joe Neeman’s work include Markov Chains and Monte Carlo Methods (9 papers), Complex Network Analysis Techniques (6 papers) and Machine Learning and Algorithms (6 papers). Joe Neeman is often cited by papers focused on Markov Chains and Monte Carlo Methods (9 papers), Complex Network Analysis Techniques (6 papers) and Machine Learning and Algorithms (6 papers). Joe Neeman collaborates with scholars based in United States, Israel and Germany. Joe Neeman's co-authors include Elchanan Mossel, Allan Sly, Omer Tamuz, Cristopher Moore, Praneeth Netrapalli, Emanuel Milman, Sujay Sanghavi, Anindya De, Inderjit S. Dhillon and Jin Zhang and has published in prestigious journals such as IEEE Transactions on Information Theory, Annals of Mathematics and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Joe Neeman i

Fields of papers citing papers by Joe Neeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joe Neeman

Since Specialization
Citations

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