Pietro Falco

651 total citations
29 papers, 437 citations indexed

About

Pietro Falco is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Pietro Falco has authored 29 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Pietro Falco's work include Robot Manipulation and Learning (15 papers), Hand Gesture Recognition Systems (6 papers) and Human Pose and Action Recognition (5 papers). Pietro Falco is often cited by papers focused on Robot Manipulation and Learning (15 papers), Hand Gesture Recognition Systems (6 papers) and Human Pose and Action Recognition (5 papers). Pietro Falco collaborates with scholars based in Italy, Germany and Sweden. Pietro Falco's co-authors include Ciro Natale, Salvatore Pirozzi, Dongheui Lee, Fanny Ficuciello, Andrea Cirillo, Alberto Cavallo, Bruno Siciliano, Anna Migliozzi, Giuseppe De Maria and Zoe Doulgeri and has published in prestigious journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and Science Robotics.

In The Last Decade

Pietro Falco

26 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pietro Falco Italy 12 241 147 91 84 77 29 437
Kuu‐Young Young Taiwan 12 180 0.7× 169 1.1× 129 1.4× 86 1.0× 44 0.6× 61 443
Elmar Rueckert Germany 11 155 0.6× 91 0.6× 69 0.8× 98 1.2× 99 1.3× 43 342
Jean‐Sebastien Valois United States 8 160 0.7× 102 0.7× 60 0.7× 53 0.6× 123 1.6× 11 337
Abolfazl Mohebbi Canada 10 124 0.5× 143 1.0× 107 1.2× 24 0.3× 51 0.7× 36 459
Víctor H. Andaluz Ecuador 12 197 0.8× 138 0.9× 172 1.9× 25 0.3× 64 0.8× 67 504
Shuhei Ikemoto Japan 15 281 1.2× 440 3.0× 58 0.6× 99 1.2× 116 1.5× 63 734
Alessandro Roncone United States 12 194 0.8× 64 0.4× 82 0.9× 105 1.3× 89 1.2× 28 412
J. L. Gordillo Mexico 15 178 0.7× 139 0.9× 99 1.1× 73 0.9× 45 0.6× 51 592
Pierre Gergondet France 13 253 1.0× 264 1.8× 85 0.9× 37 0.4× 158 2.1× 31 546
Arun Venkatraman United States 8 133 0.6× 70 0.5× 65 0.7× 122 1.5× 112 1.5× 12 388

Countries citing papers authored by Pietro Falco

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Falco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Falco

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Falco. A scholar is included among the top collaborators of Pietro Falco 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 Pietro Falco. Pietro Falco 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.
Iovino, Matteo, et al.. (2025). Comparison Between Behavior Trees and Finite State Machines. IEEE Transactions on Automation Science and Engineering. 22. 21098–21117.
2.
Jain, Siddarth, et al.. (2025). PACE: Proactive Assistance in Human-Robot Collaboration Through Action-Completion Estimation. Research Padua Archive (University of Padua). 6725–6731.
3.
Garofalo, Gianluca, et al.. (2024). Variable Impedance Control Combining Reinforcement Learning and Gaussian Process Regression. SPIRE - Sciences Po Institutional REpository. 343–350. 1 indexed citations
4.
Iovino, Matteo, et al.. (2023). On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications. Research Padua Archive (University of Padua). 5807–5813. 15 indexed citations
5.
Yin, Hang, et al.. (2021). Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation. IEEE Robotics and Automation Letters. 6(4). 8583–8590. 11 indexed citations
6.
Yin, Hang, et al.. (2021). Learning Stable Normalizing-Flow Control for Robotic Manipulation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 7 indexed citations
7.
Falco, Pietro, et al.. (2021). Pick-and-place in dynamic environments with a mobile dual-arm robot equipped with distributed distance sensors. Research Padua Archive (University of Padua). 76–82. 29 indexed citations
8.
Wang, Yida, et al.. (2019). Variational Object-Aware 3-D Hand Pose From a Single RGB Image. IEEE Robotics and Automation Letters. 4(4). 4239–4246. 8 indexed citations
9.
Falco, Pietro, et al.. (2018). Representing human motion with FADE and U-FADE: an efficient frequency-domain approach. Autonomous Robots. 43(1). 179–196.
10.
Ranieri, Angelo, et al.. (2017). Endolymphatic hydrops in idiopathic intracranial hypertension: prevalence and clinical outcome after lumbar puncture. Preliminary data. Neurological Sciences. 38(S1). 193–196. 14 indexed citations
11.
Saveriano, Matteo, et al.. (2017). Data-efficient control policy search using residual dynamics learning. elib (German Aerospace Center). 4709–4715. 23 indexed citations
12.
Falco, Pietro, et al.. (2017). Cross-modal visuo-tactile object recognition using robotic active exploration. elib (German Aerospace Center). 5273–5280. 41 indexed citations
13.
Falco, Pietro, et al.. (2016). Encoding human actions with a frequency domain approach. Institutional Research Information System (Università degli Studi di Trento). 14. 5304–5311. 7 indexed citations
14.
Maria, Giuseppe De, Pietro Falco, Ciro Natale, & Salvatore Pirozzi. (2015). Integrated force/tactile sensing: The enabling technology for slipping detection and avoidance. Research Padua Archive (University of Padua). 3883–3889. 33 indexed citations
15.
Falco, Pietro & Ciro Natale. (2014). Low-level flexible planning for mobile manipulators: a distributed perception approach. Advanced Robotics. 28(21). 1431–1444. 9 indexed citations
16.
Cavallo, Alberto, Andrea Cirillo, Pasquale Cirillo, et al.. (2014). Experimental Comparison of Sensor Fusion Algorithms for Attitude Estimation. IFAC Proceedings Volumes. 47(3). 7585–7591. 56 indexed citations
17.
Falco, Pietro, et al.. (2014). Stability Analysis of a Hierarchical Architecture for Discrete-Time Sensor-Based Control of Robotic Systems. IEEE Transactions on Robotics. 30(3). 745–753. 13 indexed citations
18.
Falco, Pietro, Ciro Natale, & Rüdiger Dillmann. (2012). Ensuring kinetostatic consistency in observation of human manipulation. Robotics and Autonomous Systems. 61(5). 545–553. 4 indexed citations
19.
Borst, Christoph, Franziska Zacharias, Florian Schmidt, et al.. (2012). Advanced Bimanual Manipulation. 2 indexed citations
20.
Falco, Pietro, Giuseppe De Maria, Ciro Natale, & Salvatore Pirozzi. (2012). Data Fusion Based on Optical Technology for Observation of Human Manipulation. International Journal of Optomechatronics. 6(1). 37–70. 8 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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