Lorena Etcheverry

564 total citations
28 papers, 231 citations indexed

About

Lorena Etcheverry is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Lorena Etcheverry has authored 28 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 5 papers in Management Science and Operations Research. Recurrent topics in Lorena Etcheverry's work include Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (8 papers) and Data Quality and Management (5 papers). Lorena Etcheverry is often cited by papers focused on Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (8 papers) and Data Quality and Management (5 papers). Lorena Etcheverry collaborates with scholars based in Uruguay, Argentina and Denmark. Lorena Etcheverry's co-authors include Alejandro Vaisman, Angela Gorgoglione, Alberto Castro, Torben Bach Pedersen, Christian Chreties, Matteo Golfarelli, Juan Trujillo, Mónica Fossati, Gottfried Vossen and Panos Vassiliadis and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Sensors.

In The Last Decade

Lorena Etcheverry

25 papers receiving 218 citations

Peers

Lorena Etcheverry
Comparison fields: 5 of 71
  • Artificial Intelligence 106
  • Computer Networks and Communications 83
  • Management Science and Operations Research 67
  • Environmental Engineering 38
  • Water Science and Technology 35
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Citations per field, relative to Lorena Etcheverry
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Citations per year, relative to Lorena Etcheverry
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Countries citing papers authored by Lorena Etcheverry

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Etcheverry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorena Etcheverry

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 0
3 14
4 1
5 9
6 2
7 45
8 2
9 12
10 1
11 5
12
Findings from Two Decades of Research on Schema Discovery using a Systematic Literature Review.
2
13 5
14 4
15
Querying Semantic Web Data Cubes.
4
16 1
17 64
18
QB4OLAP: A new vocabulary for olap cubes on the semantic web
12
19
Summary-based Comparison of Data Quality across Public MAGE-ML Genomic Datasets
1
20 1

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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