N.J. Leite

469 citations
18 papers · 249 · h-index 7

Impact in

Papers in

    • Advanced Vision and Imaging 5
    • Advanced Image and Video Retrieval Techniques 5
    • Medical Image Segmentation Techniques 4
    • Image Retrieval and Classification Techniques 4
    • Digital Image Processing Techniques 3
    • Video Analysis and Summarization 3
    • Image and Object Detection Techniques 2

N.J. Leite

16 papers receiving 233 citations

Peers

N.J. Leite
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 191
  • Biophysics 41
  • Media Technology 51
  • Signal Processing 58
  • Safety Research 17
Replace Rajesh Rohilla with:
Rajesh Rohilla India
Jen‐Chun Lee Taiwan
Seung-Min Mun South Korea
Lining Zhang Singapore
Ko-Chin Chang Taiwan
Aravind K. Mikkilineni United States
Reza Moradi Rad Canada
Hae-Yeoun Lee South Korea
Salam Shuleenda Devi India
N.J. Leite relative to Rajesh Rohilla India Rajesh Rohilla's profile →
Citations per field
00.5×7.7×
Rajesh Rohilla · 1×
Citations per year

Countries citing papers authored by N.J. Leite

Since Specialization
Citations

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

Fields of papers citing papers by N.J. Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.J. Leite. 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 N.J. Leite. The network helps show where N.J. Leite may publish in the future.

Co-authors

The 17 scholars most cited alongside N.J. Leite, 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 N.J. Leite Line = papers co-authored together N.J. Leite links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201285
2 200754
3 200437
4 200721
5 200213
6 20049
7 20047
8 20115
9 20094
10 20024
11 20023
12
UNDERWATER NON-LINEAR CAMERA CALIBRATION: AN ACCURACY ANALYSIS
20102
13 20072
14 20071
15 20031
16 20021
17 20250
18 20020

About N.J. Leite

N.J. Leite is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Aerospace Engineering and Organic Chemistry, having authored 18 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Digital Image Processing Techniques (3 papers), Video Analysis and Summarization (3 papers), Image and Object Detection Techniques (2 papers) and Wood and Agarwood Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Biophysics (41 citations), Media Technology (51 citations), Signal Processing (58 citations) and Safety Research (17 citations). N.J. Leite has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Rodrigo Minetto, Leyza Baldo Dorini, M. A. Oliveira, Ricardo Machado Leite de Barros, I. Cohen, Gérard Medioni, Roberto Lotufo, Michel Couprie, Letícia Rittner and Thiago V. Spina. Their work appears in journals such as Pattern Recognition, Computer Vision and Image Understanding, IEEE Journal of Biomedical and Health Informatics, Revista de Gestão Social e Ambiental and ˜The œproceedings of the IEEE Conference on Control Applications.

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.

Explore authors with similar magnitude of impact