J. V. Benlloch

433 citations
10 papers · 336 indexed · h-index 4
Topics
Smart Agriculture and AI (4 papers)Advanced Database Systems and Queries (3 papers)Experimental Learning in Engineering (2 papers)
Journals
Computers and Electronics in AgricultureIFAC Proceedings VolumesProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Partner nations
Spain

In The Last Decade

J. V. Benlloch

8 papers receiving 291 citations

Peers

J. V. Benlloch
Comparison fields: 5 of 60
  • Plant Science 254
  • Ecology 135
  • Analytical Chemistry 116
  • Environmental Engineering 54
  • Atmospheric Science 25
Replace Gawain Jones with:
Gawain Jones France
Arachchige Surantha Ashan Salgadoe Australia
Joshua Chopin Australia
Alessandro dos Santos Ferreira Brazil
Alexander Wendel Australia
Maurício de Souza Brazil
Afroditi Alexandra Tamouridou Greece
Marcelo Theophilo Folhes Brazil
Saeed Khaki United States
D. Vijayan India
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Citations per field
00.5×1.5×
Gawain Jones · 1×
Citations per year

Countries citing papers authored by J. V. Benlloch

Since Specialization
Citations

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

Fields of papers citing papers by J. V. Benlloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. V. Benlloch. 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 J. V. Benlloch. The network helps show where J. V. Benlloch may publish in the future.

Co-authorship network of co-authors of J. V. Benlloch

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Collaborative learning. A project on digital learning object production
0
2
Xedu, a Proposal of Learning Management System Implementation
4
3 2
4
X-Quest: An Open Tool to Support Evaluation in Distance Learning
1
5
XEDU, a XML-based framework for developing didactic resources
3
6 304
7 2
8 14
9 5
10 1

About J. V. Benlloch

J. V. Benlloch is a scholar working on Computer Science Applications, Media Technology and Biophysics, having authored 10 papers that have together received 336 indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Advanced Database Systems and Queries (3 papers) and Experimental Learning in Engineering (2 papers). The work is most often cited by research in Analytical Chemistry (116 citations), Plant Science (254 citations) and Ecology (135 citations). J. V. Benlloch has collaborated with scholars based in Spain. Frequent co-authors include Alberto Pérez, Svend Christensen, J. Blasco, Enrique Moltó, Manuel Agustí, Félix Buendía, José A. Gil, Juan C. Burguillo, Carme Torras and Sara Blanc. Their work appears in journals such as Computers and Electronics in Agriculture, IFAC Proceedings Volumes and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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