Arian Pasquali

1.0k total citations · 1 hit paper
3 papers, 347 citations indexed

About

Arian Pasquali is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Arian Pasquali has authored 3 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Arian Pasquali's work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (1 paper). Arian Pasquali is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (1 paper). Arian Pasquali collaborates with scholars based in Portugal, Brazil and Japan. Arian Pasquali's co-authors include Vítor Mangaravite, Célia Nunes, Alí­pio Jorge, Ricardo Campos, Adam Jatowt, Pedro Saleiro, Carlos Soares and Mário Amorim‐Lopes and has published in prestigious journals such as Information Sciences, arXiv (Cornell University) and Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

In The Last Decade

Arian Pasquali

2 papers receiving 326 citations

Hit Papers

YAKE! Keyword extraction from single documents using mult... 2019 2026 2021 2023 2019 100 200 300

Peers

Arian Pasquali
Comparison fields: 5 of 57
  • Artificial Intelligence 296
  • Information Systems 90
  • Computer Vision and Pattern Recognition 32
  • Molecular Biology 29
  • Sociology and Political Science 24
Replace Vítor Mangaravite with:
Vítor Mangaravite Brazil
Marina Litvak Israel
Itziar Aldabe Spain
Mladen Karan Croatia
Mónica Marrero Spain
Yaakov HaCohen‐Kerner Israel
Antske Fokkens Netherlands
Rodrigo Agerri Spain
Or Biran United States
David Guthrie United Kingdom
Vítor Mangaravite Brazil View profile →
Citations per field, relative to Arian Pasquali
Arian Pasquali · 1×
Citations per year, relative to Arian Pasquali
Arian Pasquali · 1×

Countries citing papers authored by Arian Pasquali

Since Specialization
Citations

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

Fields of papers citing papers by Arian Pasquali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arian Pasquali

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

All Works

3 of 3 papers shown
# Work Indexed citations
1 0
2
YAKE! Keyword extraction from single documents using multiple local features breakdown →
339
3
POPSTAR at RepLab 2013: Name ambiguity resolution on Twitter
8

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