Simone Angarano

469 total citations
10 papers, 289 citations indexed

About

Simone Angarano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Simone Angarano has authored 10 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Plant Science. Recurrent topics in Simone Angarano's work include Advanced Vision and Imaging (3 papers), Smart Agriculture and AI (3 papers) and Robotics and Sensor-Based Localization (2 papers). Simone Angarano is often cited by papers focused on Advanced Vision and Imaging (3 papers), Smart Agriculture and AI (3 papers) and Robotics and Sensor-Based Localization (2 papers). Simone Angarano collaborates with scholars based in Italy and United Kingdom. Simone Angarano's co-authors include Marcello Chiaberge, Francesco Salvetti, Vittorio Mazzia and Federico Angelini and has published in prestigious journals such as Sensors, Pattern Recognition and Engineering Applications of Artificial Intelligence.

In The Last Decade

Simone Angarano

9 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simone Angarano Italy	6	199	98	56	43	36	10	289
Swapnil Sayan Saha United States	9	98 0.5×	68 0.7×	53 0.9×	75 1.7×	13 0.4×	20	278
Rin‐ichiro Taniguchi Japan	10	168 0.8×	44 0.4×	30 0.5×	26 0.6×	71 2.0×	42	337
Fredy Hernán Martínez Sarmiento Colombia	9	85 0.4×	53 0.5×	21 0.4×	63 1.5×	10 0.3×	85	272
Guile Wu United Kingdom	10	342 1.7×	185 1.9×	71 1.3×	17 0.4×	38 1.1×	21	462
Sarvesh Vishwakarma India	6	299 1.5×	170 1.7×	68 1.2×	25 0.6×	30 0.8×	16	358
Kurban Ubul China	10	240 1.2×	120 1.2×	21 0.4×	24 0.6×	21 0.6×	67	402
Xueping Wang China	13	298 1.5×	61 0.6×	97 1.7×	13 0.3×	7 0.2×	43	415
Fei Cheng China	7	289 1.5×	92 0.9×	107 1.9×	11 0.3×	50 1.4×	20	349
E. S. Gopi India	8	86 0.4×	61 0.6×	19 0.3×	29 0.7×	10 0.3×	35	228

Countries citing papers authored by Simone Angarano

Since Specialization

Citations

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

Fields of papers citing papers by Simone Angarano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Angarano

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Angarano, Simone, et al.. (2024). Back-to-Bones: Rediscovering the role of backbones in domain generalization. Pattern Recognition. 156. 110762–110762. 6 indexed citations

2.

Angarano, Simone, et al.. (2024). GPS-free autonomous navigation in cluttered tree rows with deep semantic segmentation. Robotics and Autonomous Systems. 183. 104854–104854. 6 indexed citations

3.

Angarano, Simone, et al.. (2024). Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation. 5450–5459. 3 indexed citations

4.

Angarano, Simone, et al.. (2023). Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System. Sensors. 23(2). 752–752.

5.

Angarano, Simone, et al.. (2023). Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation. 1–6. 3 indexed citations

6.

Angarano, Simone, et al.. (2023). Generative Adversarial Super-Resolution at the edge with knowledge distillation. Engineering Applications of Artificial Intelligence. 123. 106407–106407. 18 indexed citations

7.

Angarano, Simone, et al.. (2023). Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network. 1–6. 2 indexed citations

8.

Salvetti, Francesco, et al.. (2022). Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 477–484. 31 indexed citations

9.

Mazzia, Vittorio, Simone Angarano, Francesco Salvetti, Federico Angelini, & Marcello Chiaberge. (2021). Action Transformer: A self-attention model for short-time pose-based human action recognition. Pattern Recognition. 124. 108487–108487. 176 indexed citations

10.

Angarano, Simone, et al.. (2021). Robust ultra-wideband range error mitigation with deep learning at the edge. Engineering Applications of Artificial Intelligence. 102. 104278–104278. 44 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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