Elena Cardarelli

26 total papers · 693 total citations
19 papers, 323 citations indexed

About

Elena Cardarelli is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Elena Cardarelli has authored 19 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 5 papers in Automotive Engineering. Recurrent topics in Elena Cardarelli's work include Robotic Path Planning Algorithms (5 papers), Video Surveillance and Tracking Methods (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Elena Cardarelli is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Video Surveillance and Tracking Methods (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Elena Cardarelli collaborates with scholars based in Italy, United States and Switzerland. Elena Cardarelli's co-authors include Paolo Medici, Lorenzo Sabattini, Alberto Broggi, Cesare Fantuzzi, Cristian Secchi, Stefano Cattani, Valerio Digani, Pier Paolo Porta, Pietro Cerri and C. Caraffi and has published in prestigious journals such as Expert Systems with Applications, IEEE Robotics & Automation Magazine and Mechatronics.

In The Last Decade

Elena Cardarelli

19 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Elena Cardarelli 169 111 68 66 63 19 323
Jelena Kocić 122 0.7× 119 1.1× 16 0.2× 49 0.7× 65 1.0× 8 317
Karl Murphy 155 0.9× 81 0.7× 18 0.3× 76 1.2× 110 1.7× 29 266
Hui Zhang 187 1.1× 32 0.3× 23 0.3× 30 0.5× 52 0.8× 25 307
Daniel Oliva Sales 140 0.8× 60 0.5× 25 0.4× 55 0.8× 92 1.5× 21 253
Albert Yaw Appiah 149 0.9× 59 0.5× 30 0.4× 100 1.5× 72 1.1× 9 363
Chunmian Lin 197 1.2× 63 0.6× 24 0.4× 16 0.2× 55 0.9× 14 332
Yifan Zhu 90 0.5× 108 1.0× 15 0.2× 59 0.9× 81 1.3× 13 355
Hui Zhang 106 0.6× 88 0.8× 22 0.3× 46 0.7× 39 0.6× 20 325
Jamil Fayyad 143 0.8× 117 1.1× 12 0.2× 39 0.6× 99 1.6× 10 352
Sheng-Fuu Lin 150 0.9× 138 1.2× 11 0.2× 50 0.8× 43 0.7× 29 328

Countries citing papers authored by Elena Cardarelli

Since Specialization
Citations

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

Fields of papers citing papers by Elena Cardarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Cardarelli

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