Davide Modolo

833 citations
26 papers · 533 · h-index 11

Impact in

Papers in

    • Human Pose and Action Recognition 12
    • Multimodal Machine Learning Applications 9
    • Video Surveillance and Tracking Methods 6
    • Advanced Neural Network Applications 6
    • Advanced Image and Video Retrieval Techniques 5
    • Data Visualization and Analytics 2
    • Anomaly Detection Techniques and Applications 11
    • Domain Adaptation and Few-Shot Learning 6

Davide Modolo

26 papers receiving 518 citations

Peers

Davide Modolo
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 429
  • Human-Computer Interaction 40
  • Artificial Intelligence 180
  • Safety, Risk, Reliability and Quality 22
  • Aerospace Engineering 41
Replace Zhou Xue with:
Zhou Xue China
Kevin J. Cannons Canada
Guan Luo China
Jacob Walker United States
Ryuzo Okada Japan
Hengduo Li United States
Fei Cheng China
Guile Wu United Kingdom
Mani Ranjbar Canada
Davide Modolo relative to Zhou Xue China Zhou Xue's profile →
Citations per field
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Citations per year

Countries citing papers authored by Davide Modolo

Since Specialization
Citations

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

Fields of papers citing papers by Davide Modolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Modolo, 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 Davide Modolo Line = papers co-authored together Davide Modolo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021116
2 2020108
3 202271
4 202241
5 202326
6
Explorative visualization and analysis of a social network for arts: the case of deviantART
201126
7 202318
8 202217
9 202014
10 202213
11 201211
12 202210
13 20248
14 20198
15 20187
16 20177
17 20176
18 20245
19 20154
20 20214

About Davide Modolo

Davide Modolo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Water Science and Technology, Computational Theory and Mathematics and Biomedical Engineering, having authored 26 papers that have together received 533 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (11 papers), Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (6 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (429 citations), Human-Computer Interaction (40 citations), Artificial Intelligence (180 citations), Safety, Risk, Reliability and Quality (22 citations) and Aerospace Engineering (41 citations). Davide Modolo has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joseph Tighe, Bing Shuai, Xinyu Li, Kaustav Kundu, Vittorio Ferrari, Fanyi Xiao, Chunhui Liu, Hao Chen, Adnan Iftekhar and Xinyu Li. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Leonardo, Lecture notes in computer science and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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