Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Trajectory Planning for Automatic Machines and Robots
Countries citing papers authored by Claudio Melchiorri
Since
Specialization
Citations
This map shows the geographic impact of Claudio Melchiorri'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 Claudio Melchiorri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Melchiorri more than expected).
Fields of papers citing papers by Claudio Melchiorri
This network shows the impact of papers produced by Claudio Melchiorri. 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 Claudio Melchiorri. The network helps show where Claudio Melchiorri may publish in the future.
Co-authorship network of co-authors of Claudio Melchiorri
This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Melchiorri.
A scholar is included among the top collaborators of Claudio Melchiorri 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 Claudio Melchiorri. Claudio Melchiorri is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Biagiotti, Luigi & Claudio Melchiorri. (2013). Online trajectory planning and filtering for robotic applications via B-spline smoothing filters2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. IRIS UNIMORE (University of Modena and Reggio Emilia). 5668–5673.2 indexed citations
14.
Casalino, Giuseppe, Alessio Turetta, & Claudio Melchiorri. (2010). Guidelines for a distributed functional and algorithmic control architecture for underwater free-flying multi-manipulators. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 475–478.7 indexed citations
15.
Melchiorri, Claudio, et al.. (2009). LQ control design of cooperative teleoperation systems. 1–6.7 indexed citations
16.
Palli, Gianluca & Claudio Melchiorri. (2009). Robust control of robots with variable joint stiffness. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6.13 indexed citations
17.
Stramigioli, Stefano, et al.. (2004). Power port concepts in robotics: the geometrical-physical approach. Lirias (KU Leuven).3 indexed citations
18.
Macchelli, Alessandro, Stefano Stramigioli, Arjan van der Schaft, & Claudio Melchiorri. (2002). Considerations on the zero-dynamics of port Hamiltonian systems and application to passive implement. University of Groningen research database (University of Groningen / Centre for Information Technology). 15(1). 250–250.1 indexed citations
19.
Bonivento, Claudio, Claudio Melchiorri, Gabriele Vassura, et al.. (1999). A Dexterous Gripper for Space Robotics. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 440. 637.2 indexed citations
20.
Melchiorri, Claudio & A. Tonielli. (1992). Sliding mode control for a robotic hand. OpenGrey (Institut de l'Information Scientifique et Technique). 8(1). 13–20.2 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.