Renzo De Nardi

1.3k citations
13 papers · 573 indexed · h-index 9

Renzo De Nardi

13 papers receiving 546 citations

Peers

Renzo De Nardi
Comparison fields: 5 of 53
  • Artificial Intelligence 347
  • Computer Vision and Pattern Recognition 165
  • Developmental and Educational Psychology 94
  • Aerospace Engineering 160
  • Computer Networks and Communications 117
Replace Matthew McNaughton with:
Matthew McNaughton Canada
Elsayed E. Hemayed Egypt
John Funge United States
Marjorie Darrah United States
Sen Liu China
Bo Jiang China
Stephan Kopf Germany
Santosh Kumar Vipparthi India
Gianni Vercelli Italy
Budhitama Subagdja Singapore
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Citations per year

Countries citing papers authored by Renzo De Nardi

Since Specialization
Citations

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

Fields of papers citing papers by Renzo De Nardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renzo De Nardi. 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 Renzo De Nardi. The network helps show where Renzo De Nardi may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Renzo De Nardi, 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 Renzo De Nardi Line = papers co-authored together Renzo De Nardi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20158
2 201412
3 2013136
4
Multi-rate estimation of coloured noise models in graph-based estimation algorithms
20122
5
Coevolutionary Modelling of a Miniature Rotorcraft.
200817
6 200813
7 2007203
8 20072
9
UltraSwarm: A further step towards a flock of miniature helicopters
20066
10
Making Racing Fun Through Player Modeling and Track Evolution
200672
11 200620
12
SwarMAV: A Swarm of Miniature Aerial Vehicles
200633
13 200549

About Renzo De Nardi

Renzo De Nardi is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 13 papers that have together received 573 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Evolutionary Algorithms and Applications (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Robotics and Sensor-Based Localization (3 papers), Metaheuristic Optimization Algorithms Research (2 papers), Educational Games and Gamification (2 papers) and UAV Applications and Optimization (2 papers). The work is most often cited by research in Artificial Intelligence (347 citations), Computer Vision and Pattern Recognition (165 citations) and Developmental and Educational Psychology (94 citations). Renzo De Nardi has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Frequent co-authors include Julian Togelius, Simon M. Lucas, Owen Holland, Chunbo Luo, Gerard Parr, Sally McClean, John Woods, Simon Julier, Alberto Moraglio and Andrew Symington.

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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