Vítor Mangaravite

18 total papers · 1.1k total citations
10 papers, 447 citations indexed

About

Vítor Mangaravite is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Vítor Mangaravite has authored 10 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 4 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Vítor Mangaravite's work include Topic Modeling (2 papers), Data Quality and Management (2 papers) and Information Retrieval and Search Behavior (2 papers). Vítor Mangaravite is often cited by papers focused on Topic Modeling (2 papers), Data Quality and Management (2 papers) and Information Retrieval and Search Behavior (2 papers). Vítor Mangaravite collaborates with scholars based in Brazil, Portugal and Japan. Vítor Mangaravite's co-authors include Ricardo Campos, Adam Jatowt, Alí­pio Jorge, Célia Nunes, Arian Pasquali, Marcos André Gonçalves, Sérgio Canuto, Christian Gomes, Felipe Viegas and Thierson Couto Rosa and has published in prestigious journals such as Information Sciences, Information Processing & Management and 2022 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Vítor Mangaravite

7 papers receiving 423 citations

Hit Papers

YAKE! Keyword extraction ... 2019 2026 2021 2023 2019 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
Vítor Mangaravite 374 129 38 31 29 10 447
Tom Kenter 391 1.0× 129 1.0× 30 0.8× 27 0.9× 30 1.0× 19 490
Joseph Reisinger 498 1.3× 53 0.4× 42 1.1× 48 1.5× 19 0.7× 14 531
Anastasia Shimorina 394 1.1× 49 0.4× 68 1.8× 25 0.8× 16 0.6× 11 473
Edda Leopold 472 1.3× 205 1.6× 62 1.6× 30 1.0× 25 0.9× 12 536
Sérgio Canuto 328 0.9× 114 0.9× 45 1.2× 14 0.5× 19 0.7× 25 417
Xin Zhao 407 1.1× 115 0.9× 56 1.5× 21 0.7× 37 1.3× 20 540
Mladen Karan 358 1.0× 71 0.6× 22 0.6× 17 0.5× 26 0.9× 27 414
Giannis Bekoulis 437 1.2× 78 0.6× 43 1.1× 81 2.6× 23 0.8× 14 500
Xinyu Song 309 0.8× 66 0.5× 16 0.4× 11 0.4× 36 1.2× 12 443
Haoruo Peng 384 1.0× 49 0.4× 62 1.6× 22 0.7× 15 0.5× 21 469

Countries citing papers authored by Vítor Mangaravite

Since Specialization
Citations

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

Fields of papers citing papers by Vítor Mangaravite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vítor Mangaravite

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