André Araujo

46 total papers · 2.2k total citations
23 papers, 471 citations indexed

About

André Araujo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, André Araujo has authored 23 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in André Araujo's work include Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (11 papers) and Multimodal Machine Learning Applications (9 papers). André Araujo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (11 papers) and Multimodal Machine Learning Applications (9 papers). André Araujo collaborates with scholars based in United States, Brazil and United Kingdom. André Araujo's co-authors include Jack Sim, Bingyi Cao, Bernd Girod, Tobias Weyand, Menglong Zhu, Marvin Teichmann, Roland Angst, Erickson R. Nascimento, Renato Martins and Mina Makar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology and Padua Research Archive (University of Padova).

In The Last Decade

André Araujo

22 papers receiving 455 citations

Author Peers

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

Author						Papers	Cites
André Araujo	421	102	91	22	21	23	471
Daesik Jang	367 0.9×	69 0.7×	60 0.7×	22 1.0×	19 0.9×	19	432
Weijian Xu	339 0.8×	141 1.4×	40 0.4×	29 1.3×	13 0.6×	27	468
Tao Yang	219 0.5×	52 0.5×	42 0.5×	27 1.2×	35 1.7×	18	440
Zicheng Liao	415 1.0×	124 1.2×	26 0.3×	33 1.5×	10 0.5×	27	540
Chaoyou Fu	330 0.8×	124 1.2×	32 0.4×	14 0.6×	11 0.5×	23	508
Ignas Budvytis	372 0.9×	44 0.4×	55 0.6×	20 0.9×	11 0.5×	26	434
Changlin Li	363 0.9×	140 1.4×	97 1.1×	47 2.1×	46 2.2×	32	518
Zhou Xue	334 0.8×	80 0.8×	44 0.5×	10 0.5×	32 1.5×	26	420
Kimmo Roimela	350 0.8×	26 0.3×	173 1.9×	24 1.1×	41 2.0×	13	417
Eva Hörster	320 0.8×	78 0.8×	98 1.1×	39 1.8×	72 3.4×	16	476

Countries citing papers authored by André Araujo

Since Specialization

Citations

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

Fields of papers citing papers by André Araujo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Araujo

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