Nivan Ferreira

49 total papers · 1.2k total citations
27 papers, 768 citations indexed

About

Nivan Ferreira is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Transportation. According to data from OpenAlex, Nivan Ferreira has authored 27 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 8 papers in Transportation. Recurrent topics in Nivan Ferreira's work include Data Visualization and Analytics (20 papers), Data Management and Algorithms (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Nivan Ferreira is often cited by papers focused on Data Visualization and Analytics (20 papers), Data Management and Algorithms (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Nivan Ferreira collaborates with scholars based in Brazil, United States and Singapore. Nivan Ferreira's co-authors include Claudio Silva, Juliana Freire, Huy T. Vo, Jorge Poco, Carlos Scheidegger, Harish Doraiswamy, James T. Klosowski, Marcos Lage, Theodoros Damoulas and Z. Wang and has published in prestigious journals such as ACM Transactions on Graphics, Applied Soft Computing and Sustainable Cities and Society.

In The Last Decade

Nivan Ferreira

23 papers receiving 738 citations

Hit Papers

Visual Exploration of Big... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Nivan Ferreira 416 281 258 135 95 27 768
Zuchao Wang 518 1.2× 360 1.3× 329 1.3× 172 1.3× 100 1.1× 19 838
Harish Doraiswamy 388 0.9× 136 0.5× 241 0.9× 74 0.5× 104 1.1× 38 797
Min Lü 337 0.8× 259 0.9× 194 0.8× 154 1.1× 77 0.8× 53 817
Jilin Hu 128 0.3× 221 0.8× 333 1.3× 252 1.9× 186 2.0× 39 726
Sofiane Abbar 146 0.4× 177 0.6× 92 0.4× 75 0.6× 98 1.0× 36 832
Sijie Ruan 96 0.2× 345 1.2× 265 1.0× 305 2.3× 101 1.1× 36 721
Louai Alarabi 149 0.4× 84 0.3× 289 1.1× 81 0.6× 129 1.4× 35 728
Anahid Basiri 79 0.2× 138 0.5× 135 0.5× 83 0.6× 75 0.8× 54 700
Bo Yan 75 0.2× 335 1.2× 191 0.7× 252 1.9× 167 1.8× 27 792
Yifang Yin 292 0.7× 74 0.3× 160 0.6× 79 0.6× 130 1.4× 69 641

Countries citing papers authored by Nivan Ferreira

Since Specialization
Citations

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

Fields of papers citing papers by Nivan Ferreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nivan Ferreira

This figure shows the co-authorship network connecting the top 25 collaborators of Nivan Ferreira. A scholar is included among the top collaborators of Nivan Ferreira 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 Nivan Ferreira. Nivan Ferreira 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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