Bruno Zanuttini

813 total citations
27 papers, 303 citations indexed

About

Bruno Zanuttini is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Bruno Zanuttini has authored 27 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Computer Networks and Communications. Recurrent topics in Bruno Zanuttini's work include Logic, Reasoning, and Knowledge (11 papers), Cephalopods and Marine Biology (5 papers) and Bayesian Modeling and Causal Inference (4 papers). Bruno Zanuttini is often cited by papers focused on Logic, Reasoning, and Knowledge (11 papers), Cephalopods and Marine Biology (5 papers) and Bayesian Modeling and Causal Inference (4 papers). Bruno Zanuttini collaborates with scholars based in France, Australia and United Kingdom. Bruno Zanuttini's co-authors include Nadia Creignou, Joël Henry, Céline Zatylny‐Gaudin, Frédéric Koriche, Erwan Corre, Gildas Le Corguillé, Phokion G. Kolaitis, Valérie Cornet, Benoı̂t Bernay and Yohann Couté and has published in prestigious journals such as Artificial Intelligence, Journal of Proteome Research and SIAM Journal on Computing.

In The Last Decade

Bruno Zanuttini

25 papers receiving 292 citations

Peers

Bruno Zanuttini

CTM

CNC

CMN

Rong She Canada

Dan Ofer Israel

Zhongmeng Zhao China

Sebastian Briesemeister Germany

Abhishek Majumdar United States

Prateek Mishra United States

Meghana Kshirsagar United States

Jaroslav Král Czechia

P.A.S. Olivier South Africa

Ali Ghulam Pakistan

Rong She Canada

Bruno Zanuttini

60 ×0.6

25 ×0.3

CTM

9 ×0.1

CNC

18 ×0.3

CMN

238 ×4.3

Citations per year, relative to Bruno Zanuttini Bruno Zanuttini (= 1×) peers Rong She

Countries citing papers authored by Bruno Zanuttini

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Zanuttini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Zanuttini

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

All Works

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20 of 20 papers shown

Zanuttini, Bruno, et al.. (2023). PepTraq: a toolbox for in silico data mining and fast sequence filtering. Amino Acids. 55(5). 709–712. 1 indexed citations

Zatylny‐Gaudin, Céline, Erwan Corre, Bruno Zanuttini, et al.. (2022). Identification of a New Set of Polypeptidic Sex Pheromones from Cuttlefish (Sepia officinalis). Marine Biotechnology. 24(3). 574–587.

Henry, Joël, et al.. (2020). In-Depth In Silico Search for Cuttlefish (Sepia officinalis) Antimicrobial Peptides Following Bacterial Challenge of Haemocytes. Marine Drugs. 18(9). 439–439. 11 indexed citations

Zanuttini, Bruno, et al.. (2018). Design of antimicrobial peptides from a cuttlefish database. Amino Acids. 50(11). 1573–1582. 25 indexed citations

Zanuttini, Bruno, et al.. (2018). An Experimental Study of Advice in Sequential Decision-Making Under Uncertainty. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 4 indexed citations

Zanuttini, Bruno, et al.. (2017). Amélioration continue d’une chaîne de traitement de documents avec l’apprentissage par renforcement. Revue d intelligence artificielle. 31(6). 619–648. 1 indexed citations

Jönsson, Peter, et al.. (2016). Strong partial clones and the time complexity of SAT problems. Journal of Computer and System Sciences. 84. 52–78. 13 indexed citations

Cooper, Martin, et al.. (2016). Broken triangles: From value merging to a tractable class of general-arity constraint satisfaction problems. Artificial Intelligence. 234. 196–218. 6 indexed citations

Cornet, Valérie, Joël Henry, Erwan Corre, et al.. (2014). Dual role of the cuttlefish salivary proteome in defense and predation. Journal of Proteomics. 108. 209–222. 29 indexed citations

10.

Lang, Jérôme & Bruno Zanuttini. (2013). Knowledge-Based Programs as Plans: Succinctness and the Complexity of Plan Existence (Extended Abstract). 1 indexed citations

11.

Koriche, Frédéric & Bruno Zanuttini. (2010). Learning conditional preference networks. Artificial Intelligence. 174(11). 685–703. 30 indexed citations

12.

Chevaleyre, Yann, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, & Bruno Zanuttini. (2010). Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets.. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 273–296. 1 indexed citations

13.

Zatylny‐Gaudin, Céline, Benoı̂t Bernay, Bruno Zanuttini, et al.. (2009). Characterization of a novel LFRFamide neuropeptide in the cephalopod Sepia officinalis. Peptides. 31(2). 207–214. 22 indexed citations

14.

Zanuttini, Bruno, et al.. (2008). What makes propositional abduction tractable. Artificial Intelligence. 172(10). 1245–1284. 31 indexed citations

15.

Creignou, Nadia, Phokion G. Kolaitis, & Bruno Zanuttini. (2008). Structure identification of Boolean relations and plain bases for co-clones. Journal of Computer and System Sciences. 74(7). 1103–1115. 18 indexed citations

16.

Creignou, Nadia & Bruno Zanuttini. (2006). A Complete Classification of the Complexity of Propositional Abduction. SIAM Journal on Computing. 36(1). 207–229. 28 indexed citations

17.

Creignou, Nadia, Phokion G. Kolaitis, & Bruno Zanuttini. (2005). Preferred representations of Boolean relations. Electronic colloquium on computational complexity. 8 indexed citations

18.

Zanuttini, Bruno, et al.. (2005). Yolk protein in the cephalopod,Sepia officinalis: a strategy for structural characterisation. Invertebrate Reproduction & Development. 48(1-3). 129–135. 5 indexed citations

19.

Bessière, Christian, Bruno Zanuttini, & Cèsar Fernández. (2004). Measuring Search Trees. HAL (Le Centre pour la Communication Scientifique Directe). 31–40. 5 indexed citations

20.

Zanuttini, Bruno, et al.. (2003). An efficient algorithm for Horn description. Information Processing Letters. 88(4). 177–182. 4 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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