Inmaculada Ventura

400 total citations
26 papers, 234 citations indexed

About

Inmaculada Ventura is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Inmaculada Ventura has authored 26 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Graphics and Computer-Aided Design, 11 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Inmaculada Ventura's work include Computational Geometry and Mesh Generation (19 papers), Data Management and Algorithms (8 papers) and Optimization and Search Problems (4 papers). Inmaculada Ventura is often cited by papers focused on Computational Geometry and Mesh Generation (19 papers), Data Management and Algorithms (8 papers) and Optimization and Search Problems (4 papers). Inmaculada Ventura collaborates with scholars based in Spain, Mexico and Chile. Inmaculada Ventura's co-authors include José Miguel Díaz-Báñez, Carlos Seara, Sergio Cabello, Stefan Langerman, Anı́bal Ollero, Iván Maza, Pablo Pérez-Lantero, José J. Acevedo, Begoña C. Arrue and Jorge Urrutia and has published in prestigious journals such as European Journal of Operational Research, Applied Mathematics and Computation and Annals of Operations Research.

In The Last Decade

Inmaculada Ventura

24 papers receiving 229 citations

Peers

Inmaculada Ventura
Comparison fields: 5 of 39
  • Computer Graphics and Computer-Aided Design 84
  • Computer Vision and Pattern Recognition 83
  • Computer Networks and Communications 75
  • Signal Processing 69
  • Aerospace Engineering 57
Replace Sandip Das with:
Sandip Das India
Paz Carmi Israel
Elmar Langetepe Germany
Matias Korman Japan
Tycho Strijk Netherlands
Yonghwan Kim South Korea
Goos Kant Netherlands
Matúš Mihaľák Switzerland
Kexin Xie Australia
Ben Strasser Germany
Sandip Das India View profile →
Citations per field, relative to Inmaculada Ventura
Inmaculada Ventura · 1×
Citations per year, relative to Inmaculada Ventura
Inmaculada Ventura · 1×

Countries citing papers authored by Inmaculada Ventura

Since Specialization
Citations

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

Fields of papers citing papers by Inmaculada Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inmaculada Ventura

This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Ventura. A scholar is included among the top collaborators of Inmaculada Ventura 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 Inmaculada Ventura. Inmaculada Ventura 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 1
2 3
3 0
4 3
5 32
6 2
7 9
8 5
9 13
10 12
11 4
12 3
13 13
14 2
15 12
16 3
17 1
18
Reverse facility location problems
37
19
Covering Point Sets with Two Convex Objects
2
20 5

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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