Federico Pecora

2.1k total citations
96 papers, 1.1k citations indexed

About

Federico Pecora is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Federico Pecora has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 41 papers in Computer Networks and Communications and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in Federico Pecora's work include AI-based Problem Solving and Planning (36 papers), Constraint Satisfaction and Optimization (33 papers) and Robotic Path Planning Algorithms (20 papers). Federico Pecora is often cited by papers focused on AI-based Problem Solving and Planning (36 papers), Constraint Satisfaction and Optimization (33 papers) and Robotic Path Planning Algorithms (20 papers). Federico Pecora collaborates with scholars based in Sweden, United States and Italy. Federico Pecora's co-authors include Amedeo Cesta, Alessandro Saffiotti, Masoumeh Mansouri, Gabriella Cortellessa, Marcello Cirillo, Riccardo Rasconi, Henrik Andreasson, Massimiliano Scopelliti, Lorenza Tiberio and Amy Loutfi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Sensors.

In The Last Decade

Federico Pecora

92 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Pecora Sweden 20 523 440 304 269 245 96 1.1k
Andrea Orlandini Italy 18 436 0.8× 226 0.5× 94 0.3× 244 0.9× 224 0.9× 69 945
Antonio Sgorbissa Italy 22 419 0.8× 802 1.8× 276 0.9× 251 0.9× 351 1.4× 136 1.5k
Dylan A. Shell United States 18 368 0.7× 260 0.6× 370 1.2× 288 1.1× 172 0.7× 86 1.1k
Karen Zita Haigh United States 16 512 1.0× 405 0.9× 214 0.7× 64 0.2× 122 0.5× 48 976
Christopher Geib United States 21 762 1.5× 390 0.9× 227 0.7× 104 0.4× 291 1.2× 51 1.2k
Raffaele Esposito Italy 13 717 1.4× 141 0.3× 708 2.3× 165 0.6× 90 0.4× 23 1.5k
Kiyoshi Kogure Japan 13 242 0.5× 288 0.7× 74 0.2× 228 0.8× 152 0.6× 88 779
János Botzheim Hungary 16 373 0.7× 236 0.5× 54 0.2× 152 0.6× 293 1.2× 132 983
Bruno Bouchard Canada 18 166 0.3× 667 1.5× 298 1.0× 37 0.1× 93 0.4× 119 1.2k
Vicente Matellán Olivera Spain 16 217 0.4× 217 0.5× 134 0.4× 104 0.4× 110 0.4× 114 805

Countries citing papers authored by Federico Pecora

Since Specialization
Citations

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

Fields of papers citing papers by Federico Pecora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Pecora

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Pecora. A scholar is included among the top collaborators of Federico Pecora 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 Federico Pecora. Federico Pecora 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.
Carlsson, Mats, et al.. (2023). A constraint programming model for the scheduling and workspace layout design of a dual-arm multi-tool assembly robot. Constraints. 28(2). 71–104. 1 indexed citations
2.
Alirezaie, Marjan, et al.. (2020). Multi-sensor dataset of human activities in a smart home environment. SHILAP Revista de lepidopterología. 34. 106632–106632. 20 indexed citations
3.
Lima, Pedro U., et al.. (2018). Towards Institutions for Mixed Human-Robot Societies. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2216–2217. 1 indexed citations
4.
Alirezaie, Marjan, et al.. (2017). Context Recognition in Multiple Occupants Situations : Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. Örebro University Library (Örebro University). 758–764. 2 indexed citations
5.
Rocco, Maurizio Di, Federico Pecora, Alessandro Saffiotti, et al.. (2014). A Planner for Ambient Assisted Living:From High-Level Reasoning to Low-Level Robot Execution and Back. National Conference on Artificial Intelligence. 10–17. 10 indexed citations
6.
Pecora, Federico, et al.. (2014). Planning Domain + Execution Semantics: A Way Towards Robust Execution?. National Conference on Artificial Intelligence. 9 indexed citations
7.
Rocco, Maurizio Di, et al.. (2013). Configuration Planning with Multiple Dynamic Goals. National Conference on Artificial Intelligence. 12–17. 9 indexed citations
8.
Mansouri, Masoumeh & Federico Pecora. (2013). A representation for spatial reasoning in robotic planning. Örebro University Library (Örebro University). 5 indexed citations
9.
Pecora, Federico, et al.. (2012). Propagating temporal constraints on sets of intervals. International Conference on Automated Planning and Scheduling. 25–32. 2 indexed citations
10.
Pecora, Federico & Marcello Cirillo. (2009). A Constraint-Based Approach for Plan Management in Intelligent Environments. Örebro University Library (Örebro University). 0. 4 indexed citations
11.
Cortellessa, Gabriella, et al.. (2008). A cross-cultural evaluation of domestic assistive robots. National Conference on Artificial Intelligence. 24–31. 21 indexed citations
12.
Cortellessa, Gabriella, Amy Loutfi, & Federico Pecora. (2008). An on-going evaluation of domestic robots. Human-Robot Interaction. 87–91. 5 indexed citations
13.
Cesta, Amedeo, Simone Fratini, & Federico Pecora. (2008). Unifying planning and scheduling as timelines in a component-based perspective. Archives of Control Sciences. 18(2). 231–271. 48 indexed citations
14.
Cesta, Amedeo, Gabriella Cortellessa, Federico Pecora, & Riccardo Rasconi. (2007). Coordinating heterogeneous agents to synthesize proactive monitoring. International Conference on Automated Planning and Scheduling. 1 indexed citations
15.
Cesta, Amedeo, et al.. (2007). Caring about the user’s view : the joys and sorrows of experiments with people. International Conference on Automated Planning and Scheduling. 5 indexed citations
16.
Cesta, Amedeo, Gabriella Cortellessa, Federico Pecora, & Riccardo Rasconi. (2007). Supporting interaction in the robocare intelligent assistive environment. National Conference on Artificial Intelligence. 18–25. 25 indexed citations
17.
Pecora, Federico & Amedeo Cesta. (2005). Evaluating plans through restrictiveness and resource strength. International Conference on Automated Planning and Scheduling. 5 indexed citations
18.
Cesta, Amedeo & Federico Pecora. (2005). The robocare project : intelligent systems for elder care. National Conference on Artificial Intelligence. 25–28. 11 indexed citations
19.
Cesta, Amedeo, Federico Pecora, & Riccardo Rasconi. (2004). Biasing the structure of scheduling problems through classical planners. International Conference on Automated Planning and Scheduling. 5 indexed citations
20.
Cesta, Amedeo, Giorgio Grisetti, Luca Iocchi, et al.. (2004). RoboCare : pervasive intelligence for the domestic care of the elderly. IRIS Research product catalog (Sapienza University of Rome). 1(1). 16–21. 17 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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