Ivan Vulić

6.5k citations
157 papers · 2.8k · h-index 30

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques
    • Text Readability and Simplification
    • Text and Document Classification Technologies
    • Speech Recognition and Synthesis
    • Multimodal Machine Learning Applications

Papers in

    • Natural Language Processing Techniques 122
    • Topic Modeling 121
    • Speech and dialogue systems 39
    • Text Readability and Simplification 17
    • Speech Recognition and Synthesis 14
    • Advanced Text Analysis Techniques 10
    • Domain Adaptation and Few-Shot Learning 9
    • Multimodal Machine Learning Applications 26

Ivan Vulić

139 papers receiving 2.6k citations

Peers

Ivan Vulić
Comparison fields: 5 of 109
  • Artificial Intelligence 2.5k
  • Computer Vision and Pattern Recognition 513
  • General Social Sciences 47
  • Information Systems 241
  • Signal Processing 58
Replace Samuel R. Bowman with:
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ivan Vulić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Vulić Line = papers co-authored together Ivan Vulić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018270
2 2015156
3 2020129
4 2017105
5 201994
6 201980
7
Skip N-grams and Ranking Functions for Predicting Script Events
201274
8 201571
9 201462
10
Identifying Word Translations from Comparable Corpora Using Latent Topic Models
201158
11 201657
12 201655
13 202149
14 201943
15 201842
16 202240
17 201737
18 201937
19 202137
20 202036

About Ivan Vulić

Ivan Vulić is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Computer Networks and Communications, having authored 157 papers that have together received 2.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (122 papers), Topic Modeling (121 papers), Speech and dialogue systems (39 papers), Multimodal Machine Learning Applications (26 papers), Text Readability and Simplification (17 papers), Speech Recognition and Synthesis (14 papers), Advanced Text Analysis Techniques (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Computer Vision and Pattern Recognition (513 citations), General Social Sciences (47 citations), Information Systems (241 citations) and Signal Processing (58 citations). Ivan Vulić has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Marie‐Francine Moens, Anna Korhonen, Goran Glavašš, Sebastian Ruder, Anders Søgaard, Edoardo Maria Ponti, Roi Reichart, Wim De Smet, Żeljko Agić and Anne Lauscher. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Language Resources and Evaluation, Sensors and Information Retrieval.

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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