Julian Martin Eisenschlos

17 papers and 259 indexed citations i.

About

Julian Martin Eisenschlos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Julian Martin Eisenschlos has authored 17 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Management Science and Operations Research. Recurrent topics in Julian Martin Eisenschlos’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Data Quality and Management (6 papers). Julian Martin Eisenschlos is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Data Quality and Management (6 papers). Julian Martin Eisenschlos collaborates with scholars based in United States, Switzerland and United Kingdom. Julian Martin Eisenschlos's co-authors include Thomas Müller, Bhuwan Dhingra, Jacob Eisenstein, Daniel Gillick, William W. Cohen, Sebastian Ruder, William Cohen, Jeremy Howard, Sylvain Gugger and Jonathan Herzig and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Julian Martin Eisenschlos i

Fields of papers citing papers by Julian Martin Eisenschlos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian Martin Eisenschlos. 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 Julian Martin Eisenschlos. The network helps show where Julian Martin Eisenschlos may publish in the future.

Countries citing papers authored by Julian Martin Eisenschlos

Since Specialization
Citations

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