P.J.G. Lisboa

733 citations
35 papers · 534 · h-index 11

Impact in

    • Image Retrieval and Classification Techniques
    • Image and Object Detection Techniques
    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Image Processing and 3D Reconstruction
    • Neural Networks and Applications
    • Fuzzy Logic and Control Systems

Papers in

P.J.G. Lisboa

31 papers receiving 500 citations

Peers

P.J.G. Lisboa
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 178
  • Artificial Intelligence 216
  • Signal Processing 55
  • Media Technology 32
  • Control and Systems Engineering 62
Replace Kushal Kanti Ghosh with:
Kushal Kanti Ghosh India
Zhiqiang Hu China
Edward Kim United States
David López-Paz Germany
Penghang Yin United States
Zhenzhen Wang China
Yaoyu Zhang China
Rushil Anirudh United States
Shengyu Huang United States
P.J.G. Lisboa relative to Kushal Kanti Ghosh India Kushal Kanti Ghosh's profile →
Citations per field
00.5×1.5×2.0×
Kushal Kanti Ghosh · 1×
Citations per year

Countries citing papers authored by P.J.G. Lisboa

Since Specialization
Citations

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

Fields of papers citing papers by P.J.G. Lisboa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.J.G. Lisboa. 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 P.J.G. Lisboa. The network helps show where P.J.G. Lisboa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992171
2 200255
3 201148
4 199939
5 199332
6 199127
7 198223
8 200323
9 199117
10 198212
11 199211
12 199610
13 20089
14
The use of canned rotors in high speed permanent magnet machines
19918
15 19947
16 19976
17 19944
18 20064
19 20054
20
Invariant digit recognition by Zernike moments and third-order neural networks
19914

About P.J.G. Lisboa

P.J.G. Lisboa is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 35 papers that have together received 534 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Fault Detection and Control Systems (5 papers), Blind Source Separation Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Control Systems and Identification (3 papers), Fuzzy Logic and Control Systems (2 papers), Medical Image Segmentation Techniques (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Artificial Intelligence (216 citations), Signal Processing (55 citations), Media Technology (32 citations) and Control and Systems Engineering (62 citations). P.J.G. Lisboa has collaborated with scholars based in United Kingdom, Italy and Belgium. Frequent co-authors include Stavros Perantonis, C. Michael, P.C. Russell, Gareth‐Rhys Jones, Alfredo Vellido, K.J. Binns, Andrew R. Green, Elia Biganzoli, Daniele Soria and Federico Ambrogi. Their work appears in journals such as Network Computation in Neural Systems, Physics Letters B, Breast Cancer Research, Japanese Journal of Clinical Oncology and Statistics in Medicine.

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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