Pierre Colombo

1.2k total citations
28 papers, 499 citations indexed

About

Pierre Colombo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Pierre Colombo has authored 28 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Surgery. Recurrent topics in Pierre Colombo's work include Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (5 papers). Pierre Colombo is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (5 papers). Pierre Colombo collaborates with scholars based in France, Portugal and United States. Pierre Colombo's co-authors include Stéphanie Nougaret, Ashutosh Modi, Caroline Reinhold, Mubbasir Kapadia, Evis Sala, Shinya Fujii, James Kennedy, André F. T. Martins, Helen Addley and Chloé Clavel and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Surgery and European Journal of Cancer.

In The Last Decade

Pierre Colombo

25 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Colombo France 10 182 133 133 127 104 28 499
Juebin Jin China 12 49 0.3× 60 0.5× 72 0.5× 5 0.0× 57 0.5× 25 387
Yongai Li China 9 45 0.2× 25 0.2× 43 0.3× 5 0.0× 140 1.3× 25 314
Niki Margari Greece 14 191 1.0× 65 0.5× 72 0.5× 2 0.0× 22 0.2× 40 500
Benjamin Miraglio Netherlands 4 104 0.6× 34 0.3× 30 0.2× 13 0.1× 6 0.1× 7 380
Qiyu Zhao China 10 136 0.7× 91 0.7× 68 0.5× 13 0.1× 6 0.1× 18 329
Mani Nassir Germany 9 70 0.4× 53 0.4× 55 0.4× 4 0.0× 101 1.0× 15 329
Tapas Dora India 11 13 0.1× 58 0.4× 97 0.7× 6 0.0× 38 0.4× 29 301
Camilla Scapicchio Italy 5 68 0.4× 65 0.5× 41 0.3× 24 0.2× 4 0.0× 9 336
Yao Ai China 13 46 0.3× 44 0.3× 47 0.4× 3 0.0× 59 0.6× 28 378
Shaohan Yin China 10 19 0.1× 46 0.3× 37 0.3× 41 0.3× 8 0.1× 28 237

Countries citing papers authored by Pierre Colombo

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Colombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Colombo

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Colombo. A scholar is included among the top collaborators of Pierre Colombo 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 Pierre Colombo. Pierre Colombo 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.
Fernandes, Patrick, José P. Pombal, M. Amin Farajian, et al.. (2025). EuroLLM: Multilingual Language Models for Europe. Procedia Computer Science. 255. 53–62. 2 indexed citations
2.
Colombo, Pierre, et al.. (2024). Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation. arXiv (Cornell University). 18573–18583.
3.
Irurozki, Ekhiñe, et al.. (2024). Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. SPIRE - Sciences Po Institutional REpository. 11759–11785.
4.
Coheur, Luísa, et al.. (2024). xcomet : Transparent Machine Translation Evaluation through Fine-grained Error Detection. Transactions of the Association for Computational Linguistics. 12. 979–995. 10 indexed citations
5.
Cheung, Jackie Chi Kit, et al.. (2024). Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17880–17888. 2 indexed citations
6.
Hudelot, Céline, et al.. (2023). Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. SPIRE - Sciences Po Institutional REpository. 9033–9048. 2 indexed citations
7.
Piantanida, Pablo, et al.. (2023). RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
8.
Colombo, Pierre, et al.. (2023). The Glass Ceiling of Automatic Evaluation in Natural Language Generation. SPIRE - Sciences Po Institutional REpository. 178–183. 5 indexed citations
9.
Colombo, Pierre, et al.. (2023). Toward Stronger Textual Attack Detectors. SPIRE - Sciences Po Institutional REpository. 484–505. 1 indexed citations
10.
Guerreiro, Nuno, João M. P. Alves, José P. Pombal, et al.. (2023). Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. SPIRE - Sciences Po Institutional REpository. 11127–11148. 3 indexed citations
11.
Colombo, Pierre, et al.. (2023). Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. SPIRE - Sciences Po Institutional REpository. 13766–13784. 6 indexed citations
12.
Colombo, Pierre, et al.. (2021). Automatic Text Evaluation through the Lens of Wasserstein Barycenters. arXiv (Cornell University). 2 indexed citations
13.
Colombo, Pierre, et al.. (2021). Improving Multimodal fusion via Mutual Dependency Maximisation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 231–245. 18 indexed citations
14.
Colombo, Pierre, et al.. (2019). Affect-Driven Dialog Generation. 3734–3743. 60 indexed citations
15.
Tallet, Agnès, Monique Cohen, Jean‐Marc Classe, et al.. (2017). Is post-mastectomy radiation therapy contributive in pN0-1mi breast cancer patients? Results of a French multi-centric cohort. European Journal of Cancer. 87. 47–57. 9 indexed citations
16.
Nougaret, Stéphanie, Yulia Lakhman, Hebert Alberto Vargas, et al.. (2017). From Staging to Prognostication. Magnetic Resonance Imaging Clinics of North America. 25(3). 611–633. 38 indexed citations
17.
Houvenaeghel, Gilles, Éric Lambaudie, Monique Cohen, et al.. (2017). Therapeutic escalation – De-escalation: Data from 15.508 early breast cancer treated with upfront surgery and sentinel lymph node biopsy (SLNB). The Breast. 34. 24–33. 7 indexed citations
18.
Bertrand, Martin, et al.. (2014). De l’œsophage au rectum : les facteurs pronostiques ganglionnaires et chirurgicaux. Bulletin du Cancer. 101(4). 368–372. 2 indexed citations
19.
Nougaret, Stéphanie, Helen Addley, Pierre Colombo, et al.. (2012). Ovarian Carcinomatosis: How the Radiologist Can Help Plan the Surgical Approach. Radiographics. 32(6). 1775–1800. 87 indexed citations
20.
Adam, René, Prashant Bhangui, Graeme J. Poston, et al.. (2010). Is Perioperative Chemotherapy Useful for Solitary, Metachronous, Colorectal Liver Metastases?. Annals of Surgery. 252(5). 774–787. 131 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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