Hila Gonen

65 total papers · 1.1k total citations
21 papers, 352 citations indexed

About

Hila Gonen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Hila Gonen has authored 21 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Hila Gonen's work include Natural Language Processing Techniques (15 papers), Topic Modeling (12 papers) and Speech and dialogue systems (3 papers). Hila Gonen is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (12 papers) and Speech and dialogue systems (3 papers). Hila Gonen collaborates with scholars based in United States, Israel and United Kingdom. Hila Gonen's co-authors include Yoav Goldberg, Luke Zettlemoyer, Simone Teufel, Ryan Cotterell, Noah A. Smith, Yulia Tsvetkov, Yuning Mao, Marjan Ghazvininejad, Shauli Ravfogel and Orevaoghene Ahia and has published in prestigious journals such as International Journal of Paediatric Dentistry, Biomedical Reports and Pure (University of Bath).

In The Last Decade

Hila Gonen

15 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hila Gonen	306	38	23	22	20	21	352
Shrimai Prabhumoye	269 0.9×	47 1.2×	16 0.7×	28 1.3×	16 0.8×	10	339
Kellie Webster	254 0.8×	31 0.8×	17 0.7×	22 1.0×	49 2.5×	11	325
Anna Rogers	296 1.0×	67 1.8×	15 0.7×	25 1.1×	14 0.7×	22	363
Simone Conia	267 0.9×	35 0.9×	8 0.3×	13 0.6×	20 1.0×	25	343
Maryam Najafian	233 0.8×	24 0.6×	9 0.4×	6 0.3×	12 0.6×	27	317
Alexey Romanov	340 1.1×	65 1.7×	13 0.6×	31 1.4×	9 0.5×	18	395
Lu Wang	298 1.0×	38 1.0×	22 1.0×	37 1.7×	4 0.2×	23	356
Xiaochuang Han	243 0.8×	36 0.9×	6 0.3×	26 1.2×	6 0.3×	18	316
Lorenzo Gatti	212 0.7×	23 0.6×	10 0.4×	32 1.5×	10 0.5×	26	308
Shauli Ravfogel	254 0.8×	79 2.1×	8 0.3×	18 0.8×	8 0.4×	16	304

Countries citing papers authored by Hila Gonen

Since Specialization

Citations

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

Fields of papers citing papers by Hila Gonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hila Gonen

This figure shows the co-authorship network connecting the top 25 collaborators of Hila Gonen. A scholar is included among the top collaborators of Hila Gonen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hila Gonen. Hila Gonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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