Hava T. Siegelmann

98 papers and 3.7k indexed citations i.

About

Hava T. Siegelmann is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Hava T. Siegelmann has authored 98 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 24 papers in Cognitive Neuroscience and 23 papers in Computational Theory and Mathematics. Recurrent topics in Hava T. Siegelmann’s work include Neural Networks and Applications (33 papers), Neural dynamics and brain function (23 papers) and Advanced Memory and Neural Computing (21 papers). Hava T. Siegelmann is often cited by papers focused on Neural Networks and Applications (33 papers), Neural dynamics and brain function (23 papers) and Advanced Memory and Neural Computing (21 papers). Hava T. Siegelmann collaborates with scholars based in United States, Israel and Canada. Hava T. Siegelmann's co-authors include Eduardo D. Sontag, Asa Ben‐Hur, Vladimir Vapnik, D. Horn, C. Lee Giles, B.G. Horne, Gido M. van de Ven, Andreas S. Tolias, Róbert Kozma and Daniel J. Saunders and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Co-authorship network of co-authors of Hava T. Siegelmann i

Fields of papers citing papers by Hava T. Siegelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hava T. Siegelmann. 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 Hava T. Siegelmann. The network helps show where Hava T. Siegelmann may publish in the future.

Countries citing papers authored by Hava T. Siegelmann

Since Specialization
Citations

This map shows the geographic impact of Hava T. Siegelmann'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 Hava T. Siegelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hava T. Siegelmann 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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