Ignazio Infantino

808 total citations
60 papers, 446 citations indexed

About

Ignazio Infantino is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ignazio Infantino has authored 60 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 24 papers in Control and Systems Engineering. Recurrent topics in Ignazio Infantino's work include Robot Manipulation and Learning (16 papers), AI-based Problem Solving and Planning (12 papers) and Reinforcement Learning in Robotics (11 papers). Ignazio Infantino is often cited by papers focused on Robot Manipulation and Learning (16 papers), AI-based Problem Solving and Planning (12 papers) and Reinforcement Learning in Robotics (11 papers). Ignazio Infantino collaborates with scholars based in Italy, India and United States. Ignazio Infantino's co-authors include Filippo Vella, Giovanni Pilato, Agnese Augello, Antonio Chella, Riccardo Rizzo, Haris Dindo, Salvatore Gaglio, Irene Macaluso, Gianpaolo Vitale and Umberto Maniscalco and has published in prestigious journals such as Robotics and Autonomous Systems, Multimedia Tools and Applications and Machine Vision and Applications.

In The Last Decade

Ignazio Infantino

57 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignazio Infantino Italy	13	175	173	153	96	87	60	446
Hartwig Holzapfel Germany	10	140 0.8×	263 1.5×	117 0.8×	168 1.8×	102 1.2×	23	459
Eri Sato-Shimokawara Japan	9	187 1.1×	107 0.6×	139 0.9×	127 1.3×	88 1.0×	122	421
Filippo Vella Italy	12	104 0.6×	173 1.0×	263 1.7×	71 0.7×	33 0.4×	62	498
Dennis Perzanowski United States	11	208 1.2×	298 1.7×	207 1.4×	202 2.1×	92 1.1×	28	612
Andre Gaschler Germany	15	207 1.2×	244 1.4×	238 1.6×	193 2.0×	70 0.8×	35	594
Yasser Mohammad Japan	12	96 0.5×	171 1.0×	96 0.6×	94 1.0×	50 0.6×	56	389
Sven Magg Germany	11	111 0.6×	204 1.2×	178 1.2×	78 0.8×	30 0.3×	22	468
Marcus Kleinehagenbrock Germany	11	132 0.8×	131 0.8×	308 2.0×	177 1.8×	57 0.7×	18	486
Dominik Joho Germany	9	103 0.6×	99 0.6×	170 1.1×	140 1.5×	63 0.7×	13	400
Arjan Egges Netherlands	13	309 1.8×	142 0.8×	316 2.1×	150 1.6×	109 1.3×	48	603

Countries citing papers authored by Ignazio Infantino

Since Specialization

Citations

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

Fields of papers citing papers by Ignazio Infantino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignazio Infantino

This figure shows the co-authorship network connecting the top 25 collaborators of Ignazio Infantino. A scholar is included among the top collaborators of Ignazio Infantino 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 Ignazio Infantino. Ignazio Infantino 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

Augello, Agnese, Salvatore Gaglio, Ignazio Infantino, et al.. (2023). Roboception and adaptation in a cognitive robot. Robotics and Autonomous Systems. 164. 104400–104400. 3 indexed citations

Augello, Agnese, Ignazio Infantino, Giovanni Pilato, & Gianpaolo Vitale. (2022). Extending affective capabilities for medical assistive robots. Cognitive Systems Research. 73. 21–25. 5 indexed citations

Venuto, Daniela De, Stefano Ricci, Attilio Frangi, et al.. (2019). “Medical Assistance in Contextual awareness” (AMICO): a project for a better cardiopathic patients quality of care. Florence Research (University of Florence). 6 indexed citations

Augello, Agnese, et al.. (2018). Social signs processing in a cognitive architecture for an humanoid robot. Procedia Computer Science. 123. 63–68. 3 indexed citations

Augello, Agnese, Frank Dignum, Manuel Gentile, et al.. (2018). A social practice oriented signs detection for human-humanoid interaction. Biologically Inspired Cognitive Architectures. 25. 8–16. 1 indexed citations

Maniscalco, Umberto, et al.. (2017). Robust mobile robot self-localization by soft sensor paradigm. 19–24. 6 indexed citations

Infantino, Ignazio, et al.. (2016). ROBODANZA: Live Performances of a Creative Dancing Humanoid.. ICCC. 388–395. 5 indexed citations

Augello, Agnese, Ignazio Infantino, Giovanni Pilato, Riccardo Rizzo, & Filippo Vella. (2014). Combining Representational Domains for Computational Creativity.. ICCC. 272–275. 8 indexed citations

Augello, Agnese, Ignazio Infantino, Giovanni Pilato, Riccardo Rizzo, & Filippo Vella. (2014). Robotic Creativity Driven by Motivation and Semantic Analysis. 285–289. 7 indexed citations

10.

Augello, Agnese, Ignazio Infantino, Giovanni Pilato, Riccardo Rizzo, & Filippo Vella. (2013). Introducing a creative process on a cognitive architecture. Biologically Inspired Cognitive Architectures. 6. 131–139. 20 indexed citations

11.

Infantino, Ignazio & Riccardo Rizzo. (2013). An Artificial Behavioral Immune System for cognitive robotics. 1191–1198. 4 indexed citations

12.

Augello, Agnese, Ignazio Infantino, Giovanni Pilato, Riccardo Rizzo, & Filippo Vella. (2013). Binding representational spaces of colors and emotions for creativity. Biologically Inspired Cognitive Architectures. 5. 64–71. 15 indexed citations

13.

Infantino, Ignazio, et al.. (2008). Human-humanoid interaction by an intentional system. 573–578. 2 indexed citations

14.

Chella, Antonio, Haris Dindo, & Ignazio Infantino. (2006). Learning High-Level Manipulative Tasks through Imitation. Nova Science Publishers (Nova Science Publishers, Inc.). 20. 251–256. 1 indexed citations

15.

Chella, Antonio, Haris Dindo, & Ignazio Infantino. (2005). A Cognitive Framework for Learning by Imitation. Nova Science Publishers (Nova Science Publishers, Inc.). 1 indexed citations

16.

Infantino, Ignazio, Massimo Cossentino, & Antonio Chella. (2002). An Agent Based Multilevel architecture for Robotics Vision Systems.. International Conference on Artificial Intelligence. 386–390. 7 indexed citations

17.

Chella, Antonio, Massimo Cossentino, Ignazio Infantino, & Roberto Pirrone. (2001). An Agent Based Design Process for Cognitive Architectures in Robotics.. 86–91. 4 indexed citations

18.

Chella, Antonio, et al.. (2001). LOCALISATION AND DESCRIPTION OF THE MOVEMENTS OF A ROBOTIC ARM FOR SPACE APPLICATIONS BY ACTIVE CONTOUR TECHNIQUES ON IMAGE SEQUENCE.. 1 indexed citations

19.

Infantino, Ignazio, Roberto Cipolla, & Antonio Chella. (2000). Reconstruction of Architectural Scenes from Uncalibrated Photos and Maps.. Machine Vision and Applications. 84(12). 1620–1625. 2 indexed citations

20.

Chella, Antonio, et al.. (1999). An Artificial High-Level Vision Agent for the Interpretation of the Operations of a Robotic Arm. ESASP. 440. 693. 3 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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