Neucimar J. Leite

86 total papers · 2.3k total citations
51 papers, 1.5k citations indexed

About

Neucimar J. Leite is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Neucimar J. Leite has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Neucimar J. Leite's work include Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (14 papers) and Video Analysis and Summarization (12 papers). Neucimar J. Leite is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (14 papers) and Video Analysis and Summarization (12 papers). Neucimar J. Leite collaborates with scholars based in Brazil, Peru and United States. Neucimar J. Leite's co-authors include Ricardo Machado Leite de Barros, Pascual J. Figueroa, Ricardo da Silva Torres, Jurandy Almeida, Rodrigo Minetto, Rafael ̈Pombo Menezes, Milton Shoiti Misuta, Leyza Baldo Dorini, Ricardo de Oliveira Anido and Sérgio Augusto Cunha and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Neucimar J. Leite

50 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neucimar J. Leite 730 480 210 197 138 51 1.5k
Janez Perš 681 0.9× 315 0.7× 184 0.9× 56 0.3× 117 0.8× 54 1.3k
Anton Kos 206 0.3× 256 0.5× 390 1.9× 48 0.2× 56 0.4× 91 1.2k
Bjørn Harald Olstad 175 0.2× 325 0.7× 217 1.0× 52 0.3× 11 0.1× 69 1.1k
Håvard D. Johansen 419 0.6× 60 0.1× 69 0.3× 68 0.3× 36 0.3× 54 1.1k
Arno Knobbe 119 0.2× 172 0.4× 67 0.3× 147 0.7× 110 0.8× 62 1.1k
Łukasz Kidziński 171 0.2× 71 0.1× 435 2.1× 25 0.1× 53 0.4× 44 1.5k
Andrew Head 161 0.2× 115 0.2× 24 0.1× 31 0.2× 19 0.1× 46 1.1k
David Anderson 327 0.4× 20 0.0× 75 0.4× 35 0.2× 98 0.7× 90 1.5k
David B. Levine 42 0.1× 108 0.2× 68 0.3× 59 0.3× 27 0.2× 83 1.3k
Martin Lames 140 0.2× 1.2k 2.5× 316 1.5× 62 0.3× 622 4.5× 97 1.6k

Countries citing papers authored by Neucimar J. Leite

Since Specialization
Citations

This map shows the geographic impact of Neucimar 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 Neucimar 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 Neucimar J. Leite more than expected).

Fields of papers citing papers by Neucimar J. Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neucimar J. Leite

This figure shows the co-authorship network connecting the top 25 collaborators of Neucimar J. Leite. A scholar is included among the top collaborators of Neucimar J. Leite based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neucimar J. Leite. Neucimar J. Leite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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