Ignacio Iacobacci

721 total citations
18 papers, 391 citations indexed

About

Ignacio Iacobacci is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software. According to data from OpenAlex, Ignacio Iacobacci has authored 18 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Software. Recurrent topics in Ignacio Iacobacci's work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Speech and dialogue systems (9 papers). Ignacio Iacobacci is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Speech and dialogue systems (9 papers). Ignacio Iacobacci collaborates with scholars based in United Kingdom, Sweden and Italy. Ignacio Iacobacci's co-authors include Roberto Navigli, Mohammad Taher Pilehvar, José Camacho-Collados, Massimiliano Mancini, Philip John Gorinski, Γεράσιμος Λάμπουρας, Han Zhou, Fenia Christopoulou, Pasquale Minervini and Ivan Vulić and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and IRIS Research product catalog (Sapienza University of Rome).

In The Last Decade

Ignacio Iacobacci

15 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignacio Iacobacci United Kingdom	6	376	30	25	13	7	18	391
Lili Kotlerman Israel	8	214 0.6×	15 0.5×	24 1.0×	23 1.8×	6 0.9×	15	226
Anders Johannsen Denmark	11	363 1.0×	20 0.7×	15 0.6×	28 2.2×	6 0.9×	26	391
Steffen Remus Germany	6	250 0.7×	12 0.4×	30 1.2×	26 2.0×	5 0.7×	19	268
Bevan Jones United Kingdom	7	294 0.8×	39 1.3×	36 1.4×	21 1.6×	9 1.3×	11	319
Natalie Schluter Denmark	9	236 0.6×	22 0.7×	19 0.8×	16 1.2×	3 0.4×	24	256
Miikka Silfverberg United States	9	281 0.7×	57 1.9×	8 0.3×	15 1.2×	12 1.7×	46	325
Altaf Rahman United States	9	270 0.7×	21 0.7×	31 1.2×	25 1.9×	2 0.3×	11	283
Iñigo López-Gazpio Spain	7	388 1.0×	58 1.9×	33 1.3×	28 2.2×	4 0.6×	14	429
Joakim Nivre United States	3	426 1.1×	32 1.1×	30 1.2×	27 2.1×	13 1.9×	4	450

Countries citing papers authored by Ignacio Iacobacci

Since Specialization

Citations

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

Fields of papers citing papers by Ignacio Iacobacci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Iacobacci

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

All Works

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18 of 18 papers shown

Λάμπουρας, Γεράσιμος, et al.. (2025). Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency. 79–94.

Λάμπουρας, Γεράσιμος, et al.. (2024). HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants. 8237–8249.

Tudosiu, Petru-Daniel, Yongxin Yang, Shifeng Zhang, et al.. (2024). MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. 22413–22422. 1 indexed citations

Hu, Songbo, et al.. (2023). Multi 3 WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems. Transactions of the Association for Computational Linguistics. 11. 1396–1415. 4 indexed citations

Zhou, Han, Ignacio Iacobacci, & Pasquale Minervini. (2023). XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. 999–1009. 3 indexed citations

Hu, Songbo, et al.. (2023). A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems. 6825–6851. 3 indexed citations

Gorinski, Philip John, et al.. (2023). Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. 370–384.

Christopoulou, Fenia, Γεράσιμος Λάμπουρας, & Ignacio Iacobacci. (2022). Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU. 2595–2611. 2 indexed citations

Λάμπουρας, Γεράσιμος, et al.. (2022). Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access. 7199–7211. 4 indexed citations

10.

Christopoulou, Fenia, et al.. (2022). EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching. 6698–6714. 3 indexed citations

11.

Hu, Ruoyu, et al.. (2022). CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding. Findings of the Association for Computational Linguistics: ACL 2022. 4048–4061. 3 indexed citations

12.

Gorinski, Philip John, et al.. (2021). Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13834–13842. 13 indexed citations

13.

Gorinski, Philip John, et al.. (2021). Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. arXiv (Cornell University). 35(15). 13834–13842. 1 indexed citations

14.

Iacobacci, Ignacio, et al.. (2020). Auxiliary Capsules for Natural Language Understanding. 6 indexed citations

15.

Iacobacci, Ignacio & Roberto Navigli. (2019). LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories. 1685–1695. 9 indexed citations

16.

Mancini, Massimiliano, José Camacho-Collados, Ignacio Iacobacci, & Roberto Navigli. (2017). Embedding Words and Senses Together via Joint Knowledge-Enhanced Training. IRIS Research product catalog (Sapienza University of Rome). 37 indexed citations

17.

Iacobacci, Ignacio, Mohammad Taher Pilehvar, & Roberto Navigli. (2016). Embeddings for Word Sense Disambiguation: An Evaluation Study. 897–907. 142 indexed citations

18.

Iacobacci, Ignacio, Mohammad Taher Pilehvar, & Roberto Navigli. (2015). SensEmbed: Learning Sense Embeddings for Word and Relational Similarity. 95–105. 160 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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