Daniele De Martini

850 total citations
56 papers, 451 citations indexed

About

Daniele De Martini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Daniele De Martini has authored 56 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 18 papers in Aerospace Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Daniele De Martini's work include Robotics and Sensor-Based Localization (15 papers), Indoor and Outdoor Localization Technologies (7 papers) and Electric Vehicles and Infrastructure (5 papers). Daniele De Martini is often cited by papers focused on Robotics and Sensor-Based Localization (15 papers), Indoor and Outdoor Localization Technologies (7 papers) and Electric Vehicles and Infrastructure (5 papers). Daniele De Martini collaborates with scholars based in United Kingdom, Italy and United States. Daniele De Martini's co-authors include Paul Newman, Matthew Gadd, Tullio Facchinetti, Guodong Zhao, Changyang She, Shangzhe Wu, Paul A. Newman, P. R. Newman, Ingmar Posner and Lars Kunze and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Daniele De Martini

47 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele De Martini United Kingdom 14 224 160 137 84 59 56 451
Jianzhu Huai China 11 272 1.2× 228 1.4× 131 1.0× 77 0.9× 61 1.0× 31 502
Chi Hay Tong Canada 12 319 1.4× 72 0.5× 231 1.7× 116 1.4× 48 0.8× 22 457
Denis Pomorski France 8 224 1.0× 97 0.6× 93 0.7× 152 1.8× 29 0.5× 20 397
Matthew Gadd United Kingdom 12 399 1.8× 183 1.1× 236 1.7× 94 1.1× 99 1.7× 28 583
Guang-Je Tsai Taiwan 10 342 1.5× 224 1.4× 86 0.6× 98 1.2× 64 1.1× 19 459
Qilong Zhang China 11 364 1.6× 73 0.5× 450 3.3× 93 1.1× 81 1.4× 37 710
Timo Hinzmann Switzerland 7 483 2.2× 183 1.1× 224 1.6× 46 0.5× 38 0.6× 9 562
Michael Barjenbruch Germany 12 463 2.1× 180 1.1× 111 0.8× 194 2.3× 44 0.7× 17 580
Ehsan Javanmardi Japan 10 170 0.8× 108 0.7× 94 0.7× 66 0.8× 115 1.9× 48 398
Martin Brossard France 11 539 2.4× 234 1.5× 152 1.1× 243 2.9× 27 0.5× 13 678

Countries citing papers authored by Daniele De Martini

Since Specialization
Citations

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

Fields of papers citing papers by Daniele De Martini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele De Martini

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele De Martini. A scholar is included among the top collaborators of Daniele De Martini 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 De Martini. Daniele De Martini 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.
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Niu, Hanlin, Matthew Gadd, Andrejs Schütz, et al.. (2025). AutoInspect: Toward Long-Term Autonomous Inspection and Monitoring. 2. 529–548.
3.
Qi, Man, Matthew Gadd, Daniele De Martini, et al.. (2025). Biodiversity research requires more motors in air, water and on land. Methods in Ecology and Evolution. 17(3). 668–682.
4.
Martini, Daniele De, et al.. (2025). Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems. IEEE Journal on Selected Areas in Communications. 43(9). 3041–3055.
5.
Diao, Yufeng, et al.. (2024). TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation. Research Explorer (The University of Manchester). 1–2. 2 indexed citations
6.
Gadd, Matthew, Daniele De Martini, Paul Murcutt, et al.. (2024). OORD: The Oxford Offroad Radar Dataset. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18779–18790. 9 indexed citations
7.
Gadd, Matthew, et al.. (2024). That’s My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. 12276–12282. 1 indexed citations
8.
Martini, Daniele De, et al.. (2023). Point-based metric and topological localisation between lidar and overhead imagery. Autonomous Robots. 47(5). 595–615. 4 indexed citations
9.
Martini, Daniele De, Michela Longo, & Federica Foiadelli. (2023). Monte Carlo BEV Users Simulation to Assess the Charging Stations Usage in Highway. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 1 indexed citations
10.
11.
Martini, Daniele De, et al.. (2023). Explainable Action Prediction through Self-Supervision on Scene Graphs. 1479–1485. 7 indexed citations
12.
Martini, Daniele De, et al.. (2021). Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization. The International Journal of Robotics Research. 40(12-14). 1488–1509. 22 indexed citations
13.
Witt, Christian Schroeder de, Catherine Tong, Daniele De Martini, et al.. (2021). RainBench: Enabling Data-Driven Precipitation Forecasting on a Global Scale. 1 indexed citations
14.
Gadd, Matthew, et al.. (2021). Fool me once: robust selective segmentation via out-of-distribution detection with contrastive learning. Oxford University Research Archive (ORA) (University of Oxford). 5 indexed citations
15.
Martini, Daniele De, Matthew Gadd, & Paul Newman. (2020). kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation. Sensors. 20(21). 6002–6002. 23 indexed citations
16.
Broomé, Michael, Matthew Gadd, Daniele De Martini, & Paul Newman. (2020). On the Road: Route Proposal from Radar Self-Supervised by Fuzzy LiDAR Traversability. SHILAP Revista de lepidopterología. 1(4). 558–585. 11 indexed citations
17.
Facchinetti, Tullio, et al.. (2020). Distributed architecture for a smart LEDs display system based on MQTT. 1243–1246. 1 indexed citations
18.
Martini, Daniele De, et al.. (2019). Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision. 1190–1196. 48 indexed citations
19.
Martini, Daniele De, et al.. (2019). Fall Detection with Supervised Machine Learning using Wearable Sensors. 253–259. 16 indexed citations
20.
Martini, Daniele De, et al.. (2017). A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications. INFM-OAR (INFN Catania). 281–288. 1 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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