L.F. Costa

785 citations
17 papers · 556 · h-index 9

Impact in

Papers in

L.F. Costa

16 papers receiving 532 citations

Peers

L.F. Costa
Comparison fields: 5 of 77
  • Insect Science 171
  • Computer Vision and Pattern Recognition 266
  • Ecology, Evolution, Behavior and Systematics 172
  • Genetics 194
  • Artificial Intelligence 161
Replace Bingfeng Zhou with:
Bingfeng Zhou China
Vladimir Risojević Bosnia and Herzegovina
Mohammad Sadegh Norouzzadeh Iran
Patrick Gros France
Songpengcheng Xia China
Jianlong Zhang China
Yuanxi Li China
Marco Seeland Germany
Richard J. D. Moore Australia
Rémi Mégret France
L.F. Costa relative to Bingfeng Zhou China Bingfeng Zhou's profile →
Citations per field
00.5×5.8×
Bingfeng Zhou · 1×
Citations per year

Countries citing papers authored by L.F. Costa

Since Specialization
Citations

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

Fields of papers citing papers by L.F. Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.F. Costa. 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 L.F. Costa. The network helps show where L.F. Costa may publish in the future.

Co-authors

The 21 scholars most cited alongside L.F. Costa, 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 L.F. Costa Line = papers co-authored together L.F. Costa links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007194
2 2002115
3 1998113
4 200440
5 200617
6 200315
7 200314
8 200512
9
Automatic leukemia diagnosis
200310
10 20028
11 20047
12
Estimation Of Crowd Density Using Image Processing
19973
13 20033
14 20032
15
Complete computer vision system for polyhedron recognition
19932
16
Speckle Noise Filtering in SAR Images by MAP Approach
19991
17 20040

About L.F. Costa

L.F. Costa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Building and Construction, Media Technology and Biophysics, having authored 17 papers that have together received 556 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Image and Signal Denoising Methods (4 papers), Image Retrieval and Classification Techniques (3 papers), Digital Imaging for Blood Diseases (3 papers), Traffic Prediction and Management Techniques (3 papers), Cell Image Analysis Techniques (2 papers), AI in cancer detection (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Insect Science (171 citations), Computer Vision and Pattern Recognition (266 citations), Ecology, Evolution, Behavior and Systematics (172 citations), Genetics (194 citations) and Artificial Intelligence (161 citations). L.F. Costa has collaborated with scholars based in Brazil, United Kingdom and Australia. Frequent co-authors include Sergio A. Velastín, Aparecido Nilceu Marana, Roberto Lotufo, Zilá Luz Paulino Simões, Ryszard Maleszka, Robert Kucharski, Angel Roberto Barchuk, Alexandre S. Cristino, F. M. Sene and Evandro M. Moraes. Their work appears in journals such as Journal of Zoological Systematics & Evolutionary Research, Anais da Academia Brasileira de Ciências, International Journal of Remote Sensing, BMC Developmental Biology and Safety Science.

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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