Leonardo Neves

60 total papers · 1.2k total citations
26 papers, 631 citations indexed

About

Leonardo Neves is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonardo Neves has authored 26 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leonardo Neves's work include Topic Modeling (13 papers), Natural Language Processing Techniques (7 papers) and Recommender Systems and Techniques (4 papers). Leonardo Neves is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (7 papers) and Recommender Systems and Techniques (4 papers). Leonardo Neves collaborates with scholars based in United States, Brazil and China. Leonardo Neves's co-authors include Vı́tor Carvalho, Neil Shah, Yozen Liu, Ning Zhang, Meng Jiang, Heng Ji, Oliver J. Woodford, Tong Zhao, Di Lu and Seungwhan Moon and has published in prestigious journals such as Computers in Human Behavior, Future Generation Computer Systems and Clinics.

In The Last Decade

Leonardo Neves

25 papers receiving 610 citations

Hit Papers

Data Augmentation for Gra... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Leonardo Neves 502 169 84 52 48 26 631
Jialong Han 473 0.9× 97 0.6× 114 1.4× 96 1.8× 61 1.3× 24 711
Xiangyu Song 530 1.1× 158 0.9× 140 1.7× 29 0.6× 52 1.1× 28 732
NhatHai Phan 455 0.9× 121 0.7× 73 0.9× 31 0.6× 35 0.7× 36 653
Daniela Oelke 295 0.6× 385 2.3× 75 0.9× 40 0.8× 71 1.5× 30 606
Jonathan Herzig 596 1.2× 150 0.9× 66 0.8× 20 0.4× 24 0.5× 24 715
Alex Lamb 464 0.9× 269 1.6× 41 0.5× 38 0.7× 36 0.8× 21 736
Qika Lin 464 0.9× 114 0.7× 135 1.6× 35 0.7× 23 0.5× 40 686
Nikolaos Pappas 498 1.0× 244 1.4× 131 1.6× 51 1.0× 11 0.2× 33 693
Mohammad Akbari 325 0.6× 140 0.8× 171 2.0× 37 0.7× 97 2.0× 33 654
Chun-Ta Lu 306 0.6× 161 1.0× 163 1.9× 22 0.4× 120 2.5× 31 644

Countries citing papers authored by Leonardo Neves

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo Neves. 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 Leonardo Neves. The network helps show where Leonardo Neves may publish in the future.

Co-authorship network of co-authors of Leonardo Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Neves. A scholar is included among the top collaborators of Leonardo Neves 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 Leonardo Neves. Leonardo Neves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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

Rankless by CCL
2026