Elisabetta Cataldi

846 citations
15 papers · 483 · h-index 12

Impact in

Papers in

Elisabetta Cataldi

15 papers receiving 468 citations

Peers

Elisabetta Cataldi
Comparison fields: 5 of 33
  • Control and Systems Engineering 332
  • Computer Vision and Pattern Recognition 238
  • Aerospace Engineering 180
  • Ocean Engineering 90
  • Computer Networks and Communications 91
Replace Victor M. Vega with:
Victor M. Vega Spain
Lucio R. Salinas Argentina
Davide Bicego France
Giuseppe Muscio Italy
Dario Brescianini Switzerland
Hugo Romero Mexico
Hyunsoo Yang South Korea
Fan Shi Japan
Changsu Ha South Korea
Sambhunath Nandy India
Elisabetta Cataldi relative to Victor M. Vega Spain Victor M. Vega's profile →
Citations per field
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Victor M. Vega · 1×
Citations per year

Countries citing papers authored by Elisabetta Cataldi

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Cataldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Elisabetta Cataldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elisabetta Cataldi Line = papers co-authored together Elisabetta Cataldi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019117
2 201792
3 201652
4 201745
5 201831
6 201625
7 201322
8 201518
9 201617
10 201416
11 201416
12 201913
13 201811
14 20185
15 20153

About Elisabetta Cataldi

Elisabetta Cataldi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 15 papers that have together received 483 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (11 papers), Underwater Vehicles and Communication Systems (7 papers), Robotic Path Planning Algorithms (7 papers), Robot Manipulation and Learning (4 papers), Control and Dynamics of Mobile Robots (4 papers), Distributed Control Multi-Agent Systems (3 papers), Teleoperation and Haptic Systems (2 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Control and Systems Engineering (332 citations), Computer Vision and Pattern Recognition (238 citations), Aerospace Engineering (180 citations), Ocean Engineering (90 citations) and Computer Networks and Communications (91 citations). Elisabetta Cataldi has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Gianluca Antonelli, Antonio Franchi, S. Chiaverini, Francesco Pierri, Fabrizio Caccavale, Giuseppe Muscio, Paolo Robuffo Giordano, Markus Ryll, Davide Bicego and Filippo Arrichiello. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Robotics and Automation Letters, Marine Technology Society Journal, The International Journal of Robotics Research and CINECA IRIS Institutional Research Information System (University of Basilicata).

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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