Maurice Pagnucco

1.9k total citations
91 papers, 978 citations indexed

About

Maurice Pagnucco is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Maurice Pagnucco has authored 91 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 15 papers in Industrial and Manufacturing Engineering. Recurrent topics in Maurice Pagnucco's work include Logic, Reasoning, and Knowledge (31 papers), Multi-Agent Systems and Negotiation (15 papers) and AI-based Problem Solving and Planning (12 papers). Maurice Pagnucco is often cited by papers focused on Logic, Reasoning, and Knowledge (31 papers), Multi-Agent Systems and Negotiation (15 papers) and AI-based Problem Solving and Planning (12 papers). Maurice Pagnucco collaborates with scholars based in Australia, Canada and China. Maurice Pagnucco's co-authors include Sami Kara, Supachai Vongbunyong, Yang Song, Abhaya Nayak, Pavlos Peppas, Hans Rott, Steven Shapiro, Hector J. Levesque, Lihuan Li and Yves Lespérance and has published in prestigious journals such as Expert Systems with Applications, Artificial Intelligence and IEEE Transactions on Industrial Informatics.

In The Last Decade

Maurice Pagnucco

84 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maurice Pagnucco Australia 17 463 288 155 148 134 91 978
Pedro López-García Spain 9 276 0.6× 167 0.6× 44 0.3× 64 0.4× 77 0.6× 22 575
Achmad Pratama Rifai Indonesia 12 72 0.2× 451 1.6× 64 0.4× 57 0.4× 56 0.4× 48 724
Myriam Delgado Brazil 19 503 1.1× 154 0.5× 25 0.2× 53 0.4× 128 1.0× 87 899
Munir Merdan Austria 16 120 0.3× 484 1.7× 42 0.3× 23 0.2× 129 1.0× 61 734
Leonora Bianchi Switzerland 8 268 0.6× 320 1.1× 96 0.6× 47 0.3× 53 0.4× 12 748
Jiacun Wang United States 14 93 0.2× 260 0.9× 71 0.5× 79 0.5× 69 0.5× 53 570
Hyun Kim South Korea 15 183 0.4× 303 1.1× 56 0.4× 118 0.8× 58 0.4× 54 719
Tom M. Cavalier United States 15 75 0.2× 581 2.0× 115 0.7× 86 0.6× 108 0.8× 46 869
Taesu Cheong South Korea 14 64 0.1× 214 0.7× 143 0.9× 45 0.3× 98 0.7× 38 612
José Barbosa Portugal 15 91 0.2× 864 3.0× 28 0.2× 47 0.3× 154 1.1× 71 1.2k

Countries citing papers authored by Maurice Pagnucco

Since Specialization
Citations

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

Fields of papers citing papers by Maurice Pagnucco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Pagnucco

This figure shows the co-authorship network connecting the top 25 collaborators of Maurice Pagnucco. A scholar is included among the top collaborators of Maurice Pagnucco 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 Maurice Pagnucco. Maurice Pagnucco 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.
Ding, Jingtao, et al.. (2024). Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction. IEEE Robotics and Automation Letters. 9(10). 9143–9150. 2 indexed citations
2.
Pagnucco, Maurice, et al.. (2024). Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation. UNSWorks (University of New South Wales, Sydney, Australia). 1–4.
3.
Liu, Sidong, et al.. (2024). Meta-Transfer Learning for Few-Shot Meningioma Segmentation. UNSWorks (University of New South Wales, Sydney, Australia). 1–4. 1 indexed citations
4.
5.
Pagnucco, Maurice, et al.. (2023). An edge guided coarse-to-fine generative network for image outpainting. Neurocomputing. 541. 126254–126254. 1 indexed citations
6.
Pagnucco, Maurice, et al.. (2023). SAC-Net: Learning with weak and noisy labels in histopathology image segmentation. Medical Image Analysis. 86. 102790–102790. 22 indexed citations
7.
Pagnucco, Maurice, et al.. (2023). Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation. 2. 49–56. 2 indexed citations
8.
Clark, Keith, et al.. (2016). A framework for integrating symbolic and sub-symbolic representations. Queensland's institutional digital repository (The University of Queensland). 2486–2492. 1 indexed citations
9.
Levesque, Hector J., et al.. (2014). Forgetting in action. Principles of Knowledge Representation and Reasoning. 498–507. 12 indexed citations
10.
Pagnucco, Maurice, et al.. (2011). How to plan when being deliberately misled. National Conference on Artificial Intelligence. 45–50. 1 indexed citations
11.
Pagnucco, Maurice, et al.. (2009). Belief Contraction in the Description Logic EL.. Description Logics. 21(4). 741–53.
12.
Pagnucco, Maurice, et al.. (2005). Inverse resolution as belief change. International Joint Conference on Artificial Intelligence. 268. 540–545. 2 indexed citations
13.
Delgrande, James P., Abhaya Nayak, & Maurice Pagnucco. (2004). Conservative belief revision. National Conference on Artificial Intelligence. 251–256. 1 indexed citations
14.
Delgrande, James P., Abhaya Nayak, & Maurice Pagnucco. (2004). Conservative belief change. National Conference on Artificial Intelligence. 251–256. 1 indexed citations
15.
Shapiro, Steven & Maurice Pagnucco. (2004). Iterated belief change and exogenous actions in the situation calculus. RMIT Research Repository (RMIT University Library). 15 indexed citations
16.
Shapiro, Steven, Maurice Pagnucco, Yves Lespérance, & Hector J. Levesque. (2000). Iterated Belief Change in the Situation Calculus. RMIT Research Repository (RMIT University Library). 28 indexed citations
17.
Peppas, Pavlos, Maurice Pagnucco, Mikhail Prokopenko, Norman Foo, & Abhaya Nayak. (1999). Preferential Semantics for Causal Systems. International Joint Conference on Artificial Intelligence. 118–123. 5 indexed citations
18.
Foo, Norman, Maurice Pagnucco, & Abhaya Nayak. (1999). Diagrammatic Proofs. International Joint Conference on Artificial Intelligence. 378–383. 3 indexed citations
19.
Pagnucco, Maurice, Wayne Wobcke, & Chengqi Zhang. (1998). Agents and multi-agent systems : formalisms, methodologies and applications : based on the AI '97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, Australia, December 1, 1997. Springer eBooks. 1 indexed citations
20.
Nayak, Abhaya, Maurice Pagnucco, Norman Foo, & Pavlos Peppas. (1996). Learning From Conditionals: Judy Benjamin's Other Problems.. European Conference on Artificial Intelligence. 75–79. 5 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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