Ariel Gera

About

Ariel Gera is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Ariel Gera has authored 9 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Language and Linguistics. Recurrent topics in Ariel Gera’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (2 papers). Ariel Gera is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (2 papers). Ariel Gera collaborates with scholars based in United States and Israel. Ariel Gera's co-authors include Noam Slonim, Alon Halfon, Liat Ein‐Dor, Eyal Shnarch, Yonatan Bilu, Lena Dankin, Benjamin Sznajder, Ranit Aharonov, Leshem Choshen and Martin Gleize and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Ariel Gera i

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Fields of papers citing papers by Ariel Gera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ariel Gera

Since Specialization

Citations

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