Daniel H. Stolfi

595 total citations
26 papers, 251 citations indexed

About

Daniel H. Stolfi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Transportation. According to data from OpenAlex, Daniel H. Stolfi has authored 26 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Transportation. Recurrent topics in Daniel H. Stolfi's work include Distributed Control Multi-Agent Systems (13 papers), Robotic Path Planning Algorithms (10 papers) and UAV Applications and Optimization (8 papers). Daniel H. Stolfi is often cited by papers focused on Distributed Control Multi-Agent Systems (13 papers), Robotic Path Planning Algorithms (10 papers) and UAV Applications and Optimization (8 papers). Daniel H. Stolfi collaborates with scholars based in Luxembourg, Spain and United States. Daniel H. Stolfi's co-authors include Grégoire Danoy, Enrique Alba, Pascal Bouvry, Matthias R. Brust, Xin Yao, Hernán Aguirre, Kiyoshi Tanaka, Cristina Alcaraz, Jamal Toutouh and Robert Halir and has published in prestigious journals such as Sensors, Information Sciences and Applied Soft Computing.

In The Last Decade

Daniel H. Stolfi

23 papers receiving 248 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel H. Stolfi Luxembourg 10 105 97 75 53 48 26 251
Navid Ali Khan Malaysia 8 84 0.8× 101 1.0× 81 1.1× 30 0.6× 8 0.2× 22 340
Siyu Guo China 4 44 0.4× 54 0.6× 115 1.5× 91 1.7× 48 1.0× 10 340
Elad H. Kivelevitch United States 9 93 0.9× 78 0.8× 99 1.3× 19 0.4× 9 0.2× 29 294
Jane Macfarlane United States 10 82 0.8× 17 0.2× 44 0.6× 40 0.8× 62 1.3× 31 259
Gang Zhong China 12 135 1.3× 26 0.3× 61 0.8× 48 0.9× 169 3.5× 33 384
Benjamin Sliwa Germany 11 42 0.4× 128 1.3× 26 0.3× 46 0.9× 43 0.9× 26 261
Logan E. Beaver United States 6 23 0.2× 68 0.7× 35 0.5× 141 2.7× 35 0.7× 19 232
Xiaoliang Feng China 8 33 0.3× 59 0.6× 48 0.6× 94 1.8× 12 0.3× 47 288
Shannon Zelinski United States 11 326 3.1× 51 0.5× 52 0.7× 93 1.8× 31 0.6× 47 390
Elmer R. Magsino Philippines 10 33 0.3× 69 0.7× 35 0.5× 76 1.4× 63 1.3× 51 291

Countries citing papers authored by Daniel H. Stolfi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Stolfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Stolfi. 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 Daniel H. Stolfi. The network helps show where Daniel H. Stolfi may publish in the future.

Co-authorship network of co-authors of Daniel H. Stolfi

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

All Works

20 of 20 papers shown
1.
Stolfi, Daniel H. & Grégoire Danoy. (2023). Optimising Robot Swarm Formations by Using Surrogate Models and Simulations. Applied Sciences. 13(10). 5989–5989. 4 indexed citations
2.
Stolfi, Daniel H. & Grégoire Danoy. (2023). Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator. Robotics and Autonomous Systems. 164. 104412–104412. 5 indexed citations
3.
Stolfi, Daniel H. & Grégoire Danoy. (2023). Evolutionary swarm formation: From simulations to real world robots. Engineering Applications of Artificial Intelligence. 128. 107501–107501. 4 indexed citations
4.
Stolfi, Daniel H. & Grégoire Danoy. (2022). Optimising autonomous robot swarm parameters for stable formation design. Proceedings of the Genetic and Evolutionary Computation Conference. 5 indexed citations
5.
Stolfi, Daniel H. & Grégoire Danoy. (2022). An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System. Applied Sciences. 12(20). 10218–10218. 11 indexed citations
6.
Stolfi, Daniel H., Matthias R. Brust, Grégoire Danoy, & Pascal Bouvry. (2022). SuSy-EnGaD: Surveillance System Enhanced by Games of Drones. Drones. 6(1). 13–13. 2 indexed citations
7.
Brust, Matthias R., Grégoire Danoy, Daniel H. Stolfi, & Pascal Bouvry. (2021). Swarm-based counter UAV defense system. Open Repository and Bibliography (University of Luxembourg). 1(1). 33 indexed citations
8.
Stolfi, Daniel H., Matthias R. Brust, Grégoire Danoy, & Pascal Bouvry. (2021). UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance. Frontiers in Robotics and AI. 8. 616950–616950. 45 indexed citations
9.
Stolfi, Daniel H., Matthias R. Brust, Grégoire Danoy, & Pascal Bouvry. (2021). A competitive Predator–Prey approach to enhance surveillance by UAV swarms. Applied Soft Computing. 111. 107701–107701. 12 indexed citations
10.
Stolfi, Daniel H., Matthias R. Brust, Grégoire Danoy, & Pascal Bouvry. (2020). Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques. Sensors. 20(9). 2566–2566. 7 indexed citations
11.
Stolfi, Daniel H., Matthias R. Brust, Grégoire Danoy, & Pascal Bouvry. (2020). A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms. Open Repository and Bibliography (University of Luxembourg). 1–6. 15 indexed citations
12.
Stolfi, Daniel H., Enrique Alba, & Xin Yao. (2019). Can I Park in the City Center? Predicting Car Park Occupancy Rates in Smart Cities. Journal of Urban Technology. 27(4). 27–41. 12 indexed citations
13.
Stolfi, Daniel H. & Enrique Alba. (2018). Green Swarm: Greener routes with bio-inspired techniques. Applied Soft Computing. 71. 952–963. 9 indexed citations
14.
Stolfi, Daniel H. & Enrique Alba. (2018). Generating realistic urban traffic flows with evolutionary techniques. Engineering Applications of Artificial Intelligence. 75. 36–47. 16 indexed citations
15.
Alcaraz, Cristina, et al.. (2017). GAMIFICATION TO FIGHT LACK OF MOTIVATION AND HETEROGENEITY IN ENGINEERING. EDULEARN proceedings. 1. 3662–3668.
16.
Stolfi, Daniel H. & Enrique Alba. (2017). Epigenetic algorithms: A New way of building GAs based on epigenetics. Information Sciences. 424. 250–272. 10 indexed citations
17.
Stolfi, Daniel H., et al.. (2016). Fine Tuning of Traffic in our Cities with Smart Panels. 1013–1019. 4 indexed citations
18.
Stolfi, Daniel H. & Enrique Alba. (2015). Smart Mobility Policies with Evolutionary Algorithms. 1287–1294. 6 indexed citations
19.
Stolfi, Daniel H. & Enrique Alba. (2014). Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms. Applied Soft Computing. 24. 181–195. 24 indexed citations
20.
Stolfi, Daniel H. & Enrique Alba. (2014). Eco-friendly reduction of travel times in european smart cities. 1207–1214. 7 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.

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