Iulia Turc

873 total citations
5 papers, 158 citations indexed

About

Iulia Turc is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Education. According to data from OpenAlex, Iulia Turc has authored 5 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Education. Recurrent topics in Iulia Turc's work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Iulia Turc is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Iulia Turc collaborates with scholars based in United States and United Kingdom. Iulia Turc's co-authors include Kristina Toutanova, Kenton Lee, Ming‐Wei Chang, Jonathan H. Clark, Dan Garrette, John Wieting, Lora Aroyo, David Reitter, Hannah Rashkin and V. A. Nikolaev and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Iulia Turc

5 papers receiving 150 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Iulia Turc United States	4	139	35	21	13	12	5	158
Swarnadeep Saha United States	7	201 1.4×	35 1.0×	42 2.0×	8 0.6×	20 1.7×	14	228
Matthias Gallé France	6	117 0.8×	31 0.9×	15 0.7×	7 0.5×	7 0.6×	25	147
Ohad Rubin Israel	2	211 1.5×	60 1.7×	34 1.6×	16 1.2×	10 0.8×	3	240
Jon Saad-Falcon United States	4	127 0.9×	52 1.5×	35 1.7×	6 0.5×	6 0.5×	9	170
Elizabeth Boschee United States	8	179 1.3×	18 0.5×	37 1.8×	10 0.8×	22 1.8×	19	194
Saloni Potdar United States	7	178 1.3×	38 1.1×	24 1.1×	7 0.5×	6 0.5×	14	209
Jialong Tang China	8	224 1.6×	36 1.0×	28 1.3×	6 0.5×	24 2.0×	11	265
Benfeng Xu China	6	230 1.7×	34 1.0×	29 1.4×	9 0.7×	28 2.3×	14	261
Chenglei Si United States	8	131 0.9×	25 0.7×	22 1.0×	5 0.4×	6 0.5×	13	159
Q. Liu China	3	188 1.4×	20 0.6×	42 2.0×	11 0.8×	39 3.3×	11	237

Countries citing papers authored by Iulia Turc

Since Specialization

Citations

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

Fields of papers citing papers by Iulia Turc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iulia Turc

This figure shows the co-authorship network connecting the top 25 collaborators of Iulia Turc. A scholar is included among the top collaborators of Iulia Turc 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 Iulia Turc. Iulia Turc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Rashkin, Hannah, V. A. Nikolaev, Matthew S. Lamm, et al.. (2023). Measuring Attribution in Natural Language Generation Models. Computational Linguistics. 1–66. 7 indexed citations

2.

Rashkin, Hannah, V. A. Nikolaev, Matthew S. Lamm, et al.. (2023). Measuring Attribution in Natural Language Generation Models. Computational Linguistics. 49(4). 777–840. 20 indexed citations

3.

Clark, Jonathan H., Dan Garrette, Iulia Turc, & John Wieting. (2022). Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation. Transactions of the Association for Computational Linguistics. 10. 73–91. 57 indexed citations

4.

Ilharco, Gabriel, et al.. (2020). High Performance Natural Language Processing. 24–27. 2 indexed citations

5.

Turc, Iulia, Ming‐Wei Chang, Kenton Lee, & Kristina Toutanova. (2019). Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. arXiv (Cornell University). 72 indexed citations

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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