Ivan Vulić

6.5k total citations
157 papers, 2.8k citations indexed

About

Ivan Vulić is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ivan Vulić has authored 157 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Ivan Vulić's work include Natural Language Processing Techniques (122 papers), Topic Modeling (121 papers) and Speech and dialogue systems (39 papers). Ivan Vulić is often cited by papers focused on Natural Language Processing Techniques (122 papers), Topic Modeling (121 papers) and Speech and dialogue systems (39 papers). Ivan Vulić collaborates with scholars based in United Kingdom, Germany and Belgium. Ivan Vulić's co-authors include Marie‐Francine Moens, Anna Korhonen, Goran Glavašš, Sebastian Ruder, Anders Søgaard, Edoardo Maria Ponti, Roi Reichart, Żeljko Agić, Wim De Smet and Anne Lauscher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and BMC Bioinformatics.

In The Last Decade

Ivan Vulić

139 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Ivan Vulić 2.5k 513 241 136 58 157 2.8k
Ellie Pavlick 2.5k 1.0× 540 1.1× 223 0.9× 88 0.6× 62 1.1× 72 2.9k
Kenneth Heafield 2.5k 1.0× 550 1.1× 311 1.3× 162 1.2× 131 2.3× 56 2.8k
Kevin Gimpel 2.4k 1.0× 395 0.8× 302 1.3× 158 1.2× 121 2.1× 81 2.8k
Noah Constant 2.1k 0.8× 451 0.9× 275 1.1× 67 0.5× 80 1.4× 22 2.5k
Samuel R. Bowman 3.2k 1.3× 893 1.7× 267 1.1× 112 0.8× 64 1.1× 40 3.4k
Baobao Chang 2.5k 1.0× 542 1.1× 346 1.4× 130 1.0× 60 1.0× 110 2.8k
Sadao Kurohashi 2.5k 1.0× 389 0.8× 385 1.6× 135 1.0× 49 0.8× 280 2.7k
Daniel Cer 3.6k 1.4× 641 1.2× 398 1.7× 225 1.7× 98 1.7× 42 4.0k
Chris Brockett 4.6k 1.8× 902 1.8× 379 1.6× 68 0.5× 77 1.3× 51 4.8k
Bill Dolan 3.8k 1.5× 745 1.5× 292 1.2× 58 0.4× 68 1.2× 44 4.0k

Countries citing papers authored by Ivan Vulić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Vulić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Vulić

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

All Works

20 of 20 papers shown
1.
Li, Chengzu, et al.. (2025). Large Language Models are Miscalibrated In-Context Learners. 11575–11596. 1 indexed citations
2.
Vulić, Ivan, et al.. (2025). Language Fusion for Parameter-Efficient Cross-lingual Transfer. 25848–25868.
3.
Li, Chengzu, et al.. (2024). TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. 1786–1807. 1 indexed citations
4.
Vulić, Ivan, et al.. (2024). Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. 11908–11941. 3 indexed citations
5.
Glavašš, Goran, et al.. (2024). VarDial Evaluation Campaign 2024: Commonsense Reasoning in Dialects and Multi-Label Similar Language Identification. SPIRE - Sciences Po Institutional REpository. 1–15. 1 indexed citations
6.
Glavašš, Goran, et al.. (2024). SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU. 8195–8211. 2 indexed citations
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8.
Sun, Guangzhi, Chao Zhang, Ivan Vulić, Paweł Budzianowski, & Philip C. Woodland. (2024). Knowledge-aware audio-grounded generative slot filling for limited annotated data. Computer Speech & Language. 89. 101707–101707.
9.
Vulić, Ivan, et al.. (2023). Quantifying the Dialect Gap and its Correlates Across Languages. 7226–7245. 2 indexed citations
10.
Vulić, Ivan, Goran Glavašš, Fangyu Liu, et al.. (2023). Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. 2089–2105. 2 indexed citations
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Ruder, Sebastian, Jonas Pfeiffer, & Ivan Vulić. (2022). Modular and Parameter-Efficient Fine-Tuning for NLP Models. 23–29. 4 indexed citations
14.
Vulić, Ivan, et al.. (2022). Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders. 7544–7559. 5 indexed citations
15.
Vulić, Ivan, Pei-Hao Su, Daniela Gerz, et al.. (2021). ConvFiT: Conversational Fine-Tuning of Pretrained Language Models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1151–1168. 19 indexed citations
16.
Lauscher, Anne, et al.. (2020). From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers. MADOC (University of Mannheim). 4483–4499. 129 indexed citations
17.
Agić, Żeljko & Ivan Vulić. (2019). JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages. Apollo (University of Cambridge). 3204–3210. 94 indexed citations
18.
Vulić, Ivan, et al.. (2018). A deep learning approach to bilingual lexicon induction in the biomedical domain. BMC Bioinformatics. 19(1). 259–259. 7 indexed citations
19.
Vulić, Ivan, et al.. (2017). Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations. Lirias (KU Leuven). 1085–1095. 22 indexed citations
20.
Vulić, Ivan & Anna Korhonen. (2016). On the Role of Seed Lexicons in Learning Bilingual Word Embeddings. Apollo (University of Cambridge). 247–257. 57 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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