Julio Barbancho

637 total citations
45 papers, 389 citations indexed

About

Julio Barbancho is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Developmental Biology. According to data from OpenAlex, Julio Barbancho has authored 45 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 6 papers in Developmental Biology. Recurrent topics in Julio Barbancho's work include Energy Efficient Wireless Sensor Networks (16 papers), Indoor and Outdoor Localization Technologies (7 papers) and Animal Vocal Communication and Behavior (6 papers). Julio Barbancho is often cited by papers focused on Energy Efficient Wireless Sensor Networks (16 papers), Indoor and Outdoor Localization Technologies (7 papers) and Animal Vocal Communication and Behavior (6 papers). Julio Barbancho collaborates with scholars based in Spain, Colombia and Tunisia. Julio Barbancho's co-authors include Carlos León, Francisco Javier Molina, Diego F. Larios, Antonio Ceballos Barbancho, J. Luque, Alejandro Carrasco, José Luis Sevillano, Enrique Personal, Amalia Luque Sendra and Guillermo Rodríguez‐Gutiérrez and has published in prestigious journals such as Expert Systems with Applications, Sensors and Sustainability.

In The Last Decade

Julio Barbancho

43 papers receiving 368 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julio Barbancho Spain 12 175 151 51 50 50 45 389
Diego F. Larios Spain 12 104 0.6× 150 1.0× 29 0.6× 25 0.5× 32 0.6× 40 314
R. Jayaparvathy India 11 163 0.9× 133 0.9× 9 0.2× 15 0.3× 22 0.4× 39 364
Mike O. Ojo Italy 12 298 1.7× 178 1.2× 25 0.5× 28 0.6× 36 0.7× 24 610
Kalpana Sharma India 11 233 1.3× 90 0.6× 16 0.3× 21 0.4× 64 1.3× 59 425
Hiroshi Mineno Japan 15 313 1.8× 233 1.5× 52 1.0× 28 0.6× 70 1.4× 96 769
Reino Virrankoski Finland 9 224 1.3× 250 1.7× 24 0.5× 31 0.6× 37 0.7× 32 434
Suvendi Rimer South Africa 11 182 1.0× 188 1.2× 35 0.7× 70 1.4× 85 1.7× 43 413
S. S. Sonavane India 10 191 1.1× 107 0.7× 20 0.4× 35 0.7× 47 0.9× 22 316
U. Sakthi India 10 152 0.9× 125 0.8× 39 0.8× 14 0.3× 70 1.4× 45 389
Mariana Mocanu Romania 12 166 0.9× 76 0.5× 93 1.8× 23 0.5× 76 1.5× 79 465

Countries citing papers authored by Julio Barbancho

Since Specialization
Citations

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

Fields of papers citing papers by Julio Barbancho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julio Barbancho

This figure shows the co-authorship network connecting the top 25 collaborators of Julio Barbancho. A scholar is included among the top collaborators of Julio Barbancho 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 Julio Barbancho. Julio Barbancho 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
1.
Larios, Diego F., et al.. (2024). Identification of Olives Using In-Field Hyperspectral Imaging with Lightweight Models. Sensors. 24(5). 1370–1370. 4 indexed citations
2.
Larios, Diego F., et al.. (2023). TEFNEN: Transformer for Energy Forecasting in Natural Environment. 2 indexed citations
3.
Barbancho, Julio, et al.. (2022). In-field hyperspectral imaging dataset of Manzanilla and Gordal olive varieties throughout the season. Data in Brief. 46. 108812–108812. 2 indexed citations
4.
Monedero, Íñigo, Julio Barbancho, Rafael Márquez, & Juan F. Beltrán. (2021). Cyber-Physical System for Environmental Monitoring Based on Deep Learning. Sensors. 21(11). 3655–3655. 8 indexed citations
5.
Cañete, J. Fernández de, et al.. (2019). System dynamics modelling approach in Health Sciences. Application to the regulation of the cardiovascular function. Informatics in Medicine Unlocked. 15. 100164–100164. 3 indexed citations
6.
Monedero, Íñigo, Félix Biscarri, Diego F. Larios, & Julio Barbancho. (2019). A Framework to Predict Failures for Ground Tests on Aircrafts. IEEE Aerospace and Electronic Systems Magazine. 34(5). 30–40.
7.
Sendra, Amalia Luque, et al.. (2019). Exploiting the Symmetry of Integral Transforms for Featuring Anuran Calls. Symmetry. 11(3). 405–405. 2 indexed citations
8.
Luque, J., et al.. (2019). Long-Term Demand Forecasting in a Scenario of Energy Transition. Energies. 12(16). 3095–3095. 18 indexed citations
9.
Barbancho, Julio, et al.. (2019). Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information. Sustainability. 11(23). 6549–6549. 3 indexed citations
10.
Larios, Diego F., Julio Barbancho, Félix Biscarri, & Íñigo Monedero. (2019). A Research Study for the Design of a Portable and Configurable Ground Test System for the A400M Aircraft. International Journal of Aerospace Engineering. 2019. 1–16. 5 indexed citations
11.
Sendra, Amalia Luque, et al.. (2018). Improving Classification Algorithms by Considering Score Series in Wireless Acoustic Sensor Networks. Sensors. 18(8). 2465–2465. 5 indexed citations
12.
Sendra, Amalia Luque, et al.. (2018). Optimal Representation of Anuran Call Spectrum in Environmental Monitoring Systems Using Wireless Sensor Networks. Sensors. 18(6). 1803–1803. 15 indexed citations
13.
Carrasco, Alejandro, et al.. (2017). Non-sequential automatic classification of anuran sounds for the estimation of climate-change indicators. Expert Systems with Applications. 95. 248–260. 25 indexed citations
14.
Cañete, J. Fernández de, et al.. (2014). Modelling of long-term and short-term mechanisms of arterial pressure control in the cardiovascular system: An object-oriented approach. Computers in Biology and Medicine. 47. 104–112. 8 indexed citations
15.
Larios, Diego F., Carlos Rodríguez, Julio Barbancho, et al.. (2013). An Automatic Weighting System for Wild Animals Based in an Artificial Neural Network: How to Weigh Wild Animals without Causing Stress. Sensors. 13(3). 2862–2883. 12 indexed citations
16.
Larios, Diego F., et al.. (2013). Five Years of Designing Wireless Sensor Networks in the Doñana Biological Reserve (Spain): An Applications Approach. Sensors. 13(9). 12044–12069. 11 indexed citations
17.
Larios, Diego F., Julio Barbancho, Francisco Javier Molina, & Carlos León. (2013). Localization Method for Low-power Wireless Sensor Networks. Journal of Networks. 8(1). 3 indexed citations
18.
León, Carlos, et al.. (2013). Wireless Ad Hoc Sensor Networks. International Journal of Distributed Sensor Networks. 9(9). 202940–202940. 3 indexed citations
19.
Larios, Diego F., et al.. (2012). mTOSSIM: A simulator that estimates battery lifetime in wireless sensor networks. Simulation Modelling Practice and Theory. 31. 39–51. 15 indexed citations
20.
Barbancho, Julio, Carlos León, Francisco Javier Molina, & Antonio Ceballos Barbancho. (2006). Giving neurons to sensors. QoS management in wireless sensors networks.. idUS (Universidad de Sevilla). 594–597. 15 indexed citations

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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