Massimo De Gregorio

739 citations
50 papers · 456 · h-index 10

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Image Enhancement Techniques
    • Advanced Neural Network Applications
    • Neural Networks and Applications
    • Anomaly Detection Techniques and Applications
    • Machine Learning and ELM

Papers in

    • Neural Networks and Applications 22
    • Anomaly Detection Techniques and Applications 4
    • Fuzzy Logic and Control Systems 4
    • Evolutionary Algorithms and Applications 4
    • AI-based Problem Solving and Planning 3
    • Video Surveillance and Tracking Methods 8
    • Advanced Vision and Imaging 5

Massimo De Gregorio

50 papers receiving 439 citations

Peers

Massimo De Gregorio
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 232
  • Artificial Intelligence 205
  • Media Technology 25
  • Signal Processing 27
  • Computational Mathematics 1
Replace Peng Dai with:
Peng Dai China
Maurizio Giordano Italy
Juan Yang China
Manuele Rusci Italy
Chengying Gao China
Chaoyou Fu China
Elliot J. Crowley United Kingdom
Ayşegül Dündar United States
Massimo De Gregorio relative to Peng Dai China Peng Dai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo De Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by Massimo De Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201480
2
A brief introduction to Weightless Neural Systems
200963
3 201041
4 201734
5 201830
6
WiSARDrp for Change Detection in Video Sequences.
201717
7 200813
8 201313
9
Can you follow that guy
201411
10 201511
11
Advances on Weightless Neural Systems.
20149
12
Clustering data streams with weightless neural networks
20118
13 20108
14 20157
15 20057
16 20106
17
The Agent WiSARD Approach to Intelligent Active Video Surveillance Systems
20075
18
WIPS: the WiSARD Indoor Positioning System
20135
19 20035
20 20085

About Massimo De Gregorio

Massimo De Gregorio is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Cognitive Neuroscience and Aerospace Engineering, having authored 50 papers that have together received 456 indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (5 papers), Advanced Memory and Neural Computing (4 papers), Anomaly Detection Techniques and Applications (4 papers), Fuzzy Logic and Control Systems (4 papers), Evolutionary Algorithms and Applications (4 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Artificial Intelligence (205 citations), Media Technology (25 citations), Signal Processing (27 citations) and Computational Mathematics (1 citation). Massimo De Gregorio has collaborated with scholars based in Italy, Brazil and India. Frequent co-authors include Maurizio Giordano, Felipe M. G. França, Priscila M. V. Lima, Priscila Machado Vieira Lima, Helen Morton, Igor Aleksander, Silvia Rossi, Mariacarla Staffa, Guglielmo Tamburrini and Vito Di Maio. Their work appears in journals such as Neurocomputing, Machine Vision and Applications, International Journal of Neural Systems, Applied Soft Computing and Pattern Recognition Letters.

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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