Daniele Pucci

215 total papers · 2.1k total citations
82 papers, 1.1k citations indexed

About

Daniele Pucci is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniele Pucci has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Biomedical Engineering, 39 papers in Control and Systems Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniele Pucci's work include Robotic Locomotion and Control (38 papers), Prosthetics and Rehabilitation Robotics (26 papers) and Robot Manipulation and Learning (16 papers). Daniele Pucci is often cited by papers focused on Robotic Locomotion and Control (38 papers), Prosthetics and Rehabilitation Robotics (26 papers) and Robot Manipulation and Learning (16 papers). Daniele Pucci collaborates with scholars based in Italy, United Kingdom and France. Daniele Pucci's co-authors include Silvio Traversaro, Francesco Nori, Serena Ivaldi, Francesco Romanò, Claudia Latella, Jan Babič, Benjamin Schirrmeister, Jonas Bornmann, Luca Tagliapietra and Daša Gorjan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Food Chemistry.

In The Last Decade

Daniele Pucci

79 papers receiving 1.1k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniele Pucci	627	399	175	140	137	82	1.1k
Akio Gofuku	353 0.6×	397 1.0×	173 1.0×	39 0.3×	276 2.0×	181	1.1k
Tadej Petrič	764 1.2×	728 1.8×	132 0.8×	171 1.2×	218 1.6×	70	1.2k
Vicente Mata	389 0.6×	749 1.9×	184 1.1×	79 0.6×	261 1.9×	81	1.1k
Loris Roveda	717 1.1×	905 2.3×	96 0.5×	132 0.9×	464 3.4×	81	1.4k
Philippe Bidaud	700 1.1×	787 2.0×	216 1.2×	32 0.2×	271 2.0×	75	1.3k
Jacob Apkarian	269 0.4×	521 1.3×	88 0.5×	64 0.5×	348 2.5×	42	1.0k
José María Sabater-Navarro	626 1.0×	200 0.5×	100 0.6×	178 1.3×	159 1.2×	119	1.2k
Yusuke Maeda	310 0.5×	488 1.2×	167 1.0×	17 0.1×	225 1.6×	113	1.0k
Jadran Lenarčič	690 1.1×	1.1k 2.7×	163 0.9×	60 0.4×	306 2.2×	43	1.4k
Minglu Zhang	355 0.6×	240 0.6×	140 0.8×	42 0.3×	150 1.1×	103	948

Countries citing papers authored by Daniele Pucci

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Pucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Pucci

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Pucci. A scholar is included among the top collaborators of Daniele Pucci 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 Daniele Pucci. Daniele Pucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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