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.
Adaptive synergies for the design and control of the Pisa/IIT SoftHand
2014483 citationsManuel G. Catalano, Giorgio Grioli et al.The International Journal of Robotics Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Alessandro Serio
Since
Specialization
Citations
This map shows the geographic impact of Alessandro Serio'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 Alessandro Serio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Serio more than expected).
Fields of papers citing papers by Alessandro Serio
This network shows the impact of papers produced by Alessandro Serio. 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 Alessandro Serio. The network helps show where Alessandro Serio may publish in the future.
Co-authorship network of co-authors of Alessandro Serio
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Serio.
A scholar is included among the top collaborators of Alessandro Serio 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 Alessandro Serio. Alessandro Serio is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Catalano, Manuel G., Giorgio Grioli, Edoardo Farnioli, et al.. (2014). Adaptive synergies for the design and control of the Pisa/IIT SoftHand. The International Journal of Robotics Research. 33(5). 768–782.483 indexed citations breakdown →
Serio, Alessandro, Matteo Bianchi, Marco Gabiccini, & Antonio Bicchi. (2014). [D94] The tactile toolbox. CINECA IRIS Institutial research information system (University of Pisa). 1–1.1 indexed citations
Serio, Alessandro, Manuel G. Catalano, Giorgio Grioli, Marco Gabiccini, & Antonio Bicchi. (2011). The Hand Embodied.1 indexed citations
17.
Serio, Alessandro, Giorgio Grioli, Irene Sardellitti, Nikos G. Tsagarakis, & Antonio Bicchi. (2011). A decoupled impedance observer for a variable stiffness robot. CINECA IRIS Institutial research information system (University of Pisa). 5548–5553.19 indexed citations
18.
Bianchi, Matteo, Alessandro Serio, Enzo Pasquale Scilingo, & Antonio Bicchi. (2010). A new fabric-based softness display. CINECA IRIS Institutial research information system (University of Pisa). 23. 105–112.18 indexed citations
19.
Serio, Alessandro. (2003). Algunes consideracions sobre la presència catalanoaragonesa a Roma entre el final del quattrocento i el principi del cinquecento, 1492-1522. Estudis Romànics (Institut d'Estudis Catalans). 69–96.1 indexed citations
20.
Serio, Alessandro. (2003). Modi, tempi, uomini della presenza hispana a Roma tra la fine del Quattrocento e il primo Cinquecento (1492-1527). Dialnet (Universidad de la Rioja). 433–476.3 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.