Vítor Mangaravite

1.2k total citations · 1 hit paper
10 papers, 458 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 458 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 Information Retrieval and Search Behavior (2 papers), Expert finding and Q&A systems (2 papers) and Topic Modeling (2 papers). Vítor Mangaravite is often cited by papers focused on Information Retrieval and Search Behavior (2 papers), Expert finding and Q&A systems (2 papers) and Topic Modeling (2 papers). Vítor Mangaravite collaborates with scholars based in Brazil, Japan and Portugal. Vítor Mangaravite's co-authors include Arian Pasquali, Ricardo Campos, Alípio Jorge, Célia Nunes, Adam Jatowt, Marcos André Gonçalves, Christian Gomes, Sérgio Canuto, Thierson Couto Rosa and Leonardo Rocha 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 434 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

YAKE! Keyword extraction from single documents using multiple local features

2019 339 citations Ricardo Campos, Vítor Mangaravite et al. Information Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vítor Mangaravite Brazil	5	382	130	38	31	29	10	458
Arian Pasquali Portugal	2	296 0.8×	90 0.7×	32 0.8×	29 0.9×	24 0.8×	3	347
Tom Kenter Netherlands	9	391 1.0×	130 1.0×	30 0.8×	27 0.9×	30 1.0×	19	490
Marina Litvak Israel	11	418 1.1×	97 0.7×	32 0.8×	32 1.0×	39 1.3×	52	493
Wafaa S. El-Kassas Egypt	5	466 1.2×	172 1.3×	38 1.0×	31 1.0×	27 0.9×	8	601
Ahmed El-Kishky United States	12	392 1.0×	109 0.8×	62 1.6×	38 1.2×	12 0.4×	29	455
Chaitanya Chemudugunta United States	5	282 0.7×	112 0.9×	33 0.9×	34 1.1×	17 0.6×	6	383
Antske Fokkens Netherlands	10	445 1.2×	77 0.6×	34 0.9×	43 1.4×	31 1.1×	63	492
Rodrigo Agerri Spain	14	462 1.2×	58 0.4×	26 0.7×	31 1.0×	37 1.3×	47	536
Tristan Miller Germany	11	443 1.2×	101 0.8×	48 1.3×	11 0.4×	21 0.7×	34	549
Johann Petrak United Kingdom	8	311 0.8×	92 0.7×	27 0.7×	16 0.5×	67 2.3×	15	395

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Mangaravite, Vítor, et al.. (2022). Deduplicating Large Volumes of Data from Natural and Legal Entities in the Governmental Field. 2022 IEEE International Conference on Big Data (Big Data). 41. 2206–2213.

2.

Mangaravite, Vítor, et al.. (2022). DedupeGov: Uma Plataforma para Integração de Grandes Volumes de Dados de Pessoas Físicas e Jurídicas em Âmbito Governamental. 90–102.

3.

Mangaravite, Vítor, Christian Gomes, Sérgio Canuto, et al.. (2021). On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. Information Processing & Management. 58(3). 102481–102481. 56 indexed citations

4.

Canuto, Sérgio, Felipe Viegas, Thiago Salles, et al.. (2020). Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling. Information Processing & Management. 57(4). 102263–102263. 38 indexed citations

5.

Campos, Ricardo, Vítor Mangaravite, Arian Pasquali, et al.. (2019). YAKE! Keyword extraction from single documents using multiple local features. Information Sciences. 509. 257–289. 339 indexed citations breakdown →

6.

Ferreira, Anderson A., et al.. (2017). Strategies for automatic determination of similarity threshold for genre-aware focused crawling processes.. 1 indexed citations

7.

Ferreira, Anderson A., et al.. (2016). AUTOMATIC DETERMINATION OF SIMILARITY THRESHOLD FOR FOCUSED CRAWLING PROCESSES ON WEB PAGES. 95–102. 1 indexed citations

8.

Mangaravite, Vítor, et al.. (2016). The LExR Collection for Expertise Retrieval in Academia. 721–724. 12 indexed citations

9.

Mangaravite, Vítor & Rodrygo L. T. Santos. (2016). On Information-Theoretic Document-Person Associations for Expert Search in Academia. 925–928. 4 indexed citations

10.

Mangaravite, Vítor, et al.. (2012). Improving the Efficiency of a Genre-Aware Approach to Focused Crawling Based on Link Context. 17–23. 7 indexed citations

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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