Victoria Nebot

768 total citations
19 papers, 352 citations indexed

About

Victoria Nebot is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Victoria Nebot has authored 19 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Molecular Biology and 7 papers in Information Systems. Recurrent topics in Victoria Nebot's work include Semantic Web and Ontologies (18 papers), Biomedical Text Mining and Ontologies (9 papers) and Data Quality and Management (6 papers). Victoria Nebot is often cited by papers focused on Semantic Web and Ontologies (18 papers), Biomedical Text Mining and Ontologies (9 papers) and Data Quality and Management (6 papers). Victoria Nebot collaborates with scholars based in Spain, United Kingdom and Denmark. Victoria Nebot's co-authors include Rafael Berlanga, María José Aramburu, Alberto Abelló, Oscar Romero, Torben Bach Pedersen, Alkis Simitsis, Ernesto Jiménez-Ruiz, Ismael Sanz, Tamás Hauer and David Manset and has published in prestigious journals such as BMC Bioinformatics, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Victoria Nebot

19 papers receiving 330 citations

Peers

Victoria Nebot
Comparison fields: 5 of 43
  • Artificial Intelligence 278
  • Information Systems 145
  • Computer Networks and Communications 120
  • Management Science and Operations Research 119
  • Molecular Biology 62
Replace Salvatore Raunich with:
Salvatore Raunich Italy
Angela Maduko United States
Robin Dhamankar United States
Sabine Maßmann Germany
Vojtěch Svátek Czechia
Ergin Elmacioglu United States
Ahmad Abdollahzadeh Barforoush Iran
Martin Nečaský Czechia
Christian Meilicke Germany
Ken Baclawski United States
Salvatore Raunich Italy View profile →
Citations per field, relative to Victoria Nebot
Victoria Nebot · 1×
Citations per year, relative to Victoria Nebot
Victoria Nebot · 1×

Countries citing papers authored by Victoria Nebot

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Nebot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Nebot

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 6
2 1
3 11
4 89
5 13
6 3
7 2
8 45
9 18
10 11
11 4
12 54
13 1
14
Semantic annotation of biomedical texts through concept retrieval
16
15 35
16 6
17 18
18 8
19 11

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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