Guido Zuccon

Artificial Intelligence · 2013–2026

A researcher in the Science corpus: 11 papers; trusts 73 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it; #13,356 of 35,345 by trust here, #12,761 by citations
• Information Retrieval & Search — 65 citations into it; #519 of 1,022 by trust here, #621 by citations
• Natural Language Processing — 42 citations into it; #3,000 of 5,688 by trust here, #4,539 by citations
• Information Systems — 37 citations into it; #3,346 of 8,771 by trust here, #4,012 by citations
• Computer Vision and Pattern Recognition — 24 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Large Language Models — 20 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Guido Zuccon trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tomas Mikolov
2. Chengxiang Zhai
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ellen M. Voorhees
6. John D. Lafferty
7. Geoffrey E. Hinton
8. Jeffrey Pennington
9. Ilya Sutskever
10. Adam L. Berger

Who trusts Guido Zuccon overall

1. Navid Rekabsaz
2. Hamed Zamani
3. W. Bruce Croft
4. Jiafeng Guo
5. Qingyao Ai
6. Saar Kuzi
7. Mihai Lupu
8. Kezban Dilek Onal
9. Allan Hanbury
10. Anna Shtok

Papers from Guido Zuccon's perspective

Ordered by how strongly the researchers Guido Zuccon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Overview of the ShARe/CLEF eHealth Evaluation Lab 2014 (2014) — 319 citations
• Medical Semantic Similarity with a Neural Language Model (2014) — 161 citations
• TILDE: Term Independent Likelihood moDEl for Passage Re-ranking (2021) — 92 citations
• Automated classification of limb fractures from free-text radiology reports using a clinician-informed gazetteer methodology. (2013) — 16 citations
• Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval (2026)
• Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking (2023)
• Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation (2022) — 89 citations
• A Test Collection for Evaluating Legal Case Law Search (2018) — 63 citations
• The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017 (2017) — 19 citations
• Generalizing Translation Models in the Probabilistic Relevance Framework (2016) — 26 citations
• Integrating and Evaluating Neural Word Embeddings in Information Retrieval (2015) — 137 citations