Josep Escrig

444 total citations
21 papers, 299 citations indexed

About

Josep Escrig is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Analytical Chemistry. According to data from OpenAlex, Josep Escrig has authored 21 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 5 papers in Electrical and Electronic Engineering and 4 papers in Analytical Chemistry. Recurrent topics in Josep Escrig's work include Spectroscopy and Chemometric Analyses (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and Satellite Communication Systems (3 papers). Josep Escrig is often cited by papers focused on Spectroscopy and Chemometric Analyses (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and Satellite Communication Systems (3 papers). Josep Escrig collaborates with scholars based in Spain, United Kingdom and China. Josep Escrig's co-authors include Nicholas J. Watson, Elliot Woolley, Alessandro Simeone, Oliver J. Fisher, Rachel L. Gomes, Laura Porcu, Alexander L. Bowler, Ahmed Rady, Michael P. Pound and Akinbode A. Adedeji and has published in prestigious journals such as Sensors, Food Control and Computers & Chemical Engineering.

In The Last Decade

Josep Escrig

19 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josep Escrig Spain 10 53 53 48 47 43 21 299
In‐Jun Jeong South Korea 8 67 1.3× 36 0.7× 20 0.4× 90 1.9× 45 1.0× 18 432
Xiaoming Wu China 10 46 0.9× 68 1.3× 44 0.9× 15 0.3× 22 0.5× 43 404
Alexander L. Bowler United Kingdom 11 78 1.5× 124 2.3× 41 0.9× 31 0.7× 58 1.3× 21 370
George J. Besseris Greece 13 79 1.5× 35 0.7× 17 0.4× 61 1.3× 49 1.1× 64 523
Ercan Şenyiğit Türkiye 11 115 2.2× 62 1.2× 21 0.4× 38 0.8× 60 1.4× 36 383
Natasha Vaklieva‐Bancheva Bulgaria 8 60 1.1× 30 0.6× 103 2.1× 45 1.0× 19 0.4× 21 284
Sia Chee Kiong Malaysia 11 91 1.7× 47 0.9× 45 0.9× 42 0.9× 86 2.0× 40 446
Rafiq Ahmad Canada 11 52 1.0× 53 1.0× 22 0.5× 85 1.8× 18 0.4× 36 334
Mouloud Amazouz Canada 11 107 2.0× 23 0.4× 118 2.5× 30 0.6× 17 0.4× 23 312
Kexin Wang China 10 29 0.5× 39 0.7× 66 1.4× 21 0.4× 27 0.6× 35 359

Countries citing papers authored by Josep Escrig

Since Specialization
Citations

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

Fields of papers citing papers by Josep Escrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josep Escrig

This figure shows the co-authorship network connecting the top 25 collaborators of Josep Escrig. A scholar is included among the top collaborators of Josep Escrig 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 Josep Escrig. Josep Escrig 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.
Escrig, Josep, et al.. (2024). RBD24 : A labelled dataset with risk activities using log application data. Computers & Security. 150. 104290–104290. 1 indexed citations
2.
Ruiz-de-Azua, Joan A., et al.. (2024). Inter-Satellite Link Prediction with Supervised Learning: An Application in Polar Orbits. Aerospace. 11(7). 551–551. 1 indexed citations
3.
Ruiz-de-Azua, Joan A., et al.. (2024). Inter-Satellite Link Prediction with Supervised Learning Based on Kepler and SGP4 Orbits. International Journal of Computational Intelligence Systems. 17(1).
4.
Escrig, Josep, et al.. (2023). Inter-Satellite Link Prediction for Non-Terrestrial Networks Using Supervised Learning. 258–263. 2 indexed citations
5.
Camps‐Mur, Daniel, et al.. (2023). On the Application of Q-learning for Mobility Load Balancing in Realistic Vehicular Scenarios. QRU Quaderns de Recerca en Urbanisme. 1–7. 5 indexed citations
6.
Montagud, Mario, et al.. (2023). Towards IoT Ambient Intelligence for Industry 4.0. QRU Quaderns de Recerca en Urbanisme. 142–148. 2 indexed citations
7.
Sallent, O., et al.. (2022). On Alleviating Cell Overload in Vehicular Scenarios. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). 1–7. 2 indexed citations
8.
Escrig, Josep. (2022). Contrarrevolución e independencias en Iberoamérica (1820-1823). Repository of Digital Objects for Teaching Research and Culture (University of Valencia). 1–26.
9.
Sallent, O., et al.. (2022). Analysis of Vehicular Scenarios and Mitigation of Cell Overload due to Traffic Congestions. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 4. 1–6. 2 indexed citations
10.
Escrig, Josep, et al.. (2021). Los rostros de la revolución. Ideas y proyectos políticos en el México independiente (1821-1822). 23(46). 154–201. 1 indexed citations
11.
Laoudias, Christos, Georgios Ellinas, Jordi Casademont, et al.. (2021). CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks. EURASIP Journal on Wireless Communications and Networking. 2021(1). 22 indexed citations
12.
Bowler, Alexander L., Josep Escrig, Michael P. Pound, & Nicholas J. Watson. (2021). Predicting Alcohol Concentration during Beer Fermentation Using Ultrasonic Measurements and Machine Learning. Fermentation. 7(1). 34–34. 18 indexed citations
13.
Watson, Nicholas J., Alexander L. Bowler, Ahmed Rady, et al.. (2021). Intelligent Sensors for Sustainable Food and Drink Manufacturing. Frontiers in Sustainable Food Systems. 5. 29 indexed citations
14.
Fisher, Oliver J., et al.. (2020). Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems. Computers & Chemical Engineering. 140. 106881–106881. 79 indexed citations
15.
Escrig, Josep, et al.. (2020). Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes. Food and Bioproducts Processing. 123. 1–13. 23 indexed citations
16.
Simeone, Alessandro, Elliot Woolley, Josep Escrig, & Nicholas J. Watson. (2020). Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression. Sensors. 20(13). 3642–3642. 25 indexed citations
17.
Escrig, Josep, Elliot Woolley, Alessandro Simeone, & Nicholas J. Watson. (2020). Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning. Food Control. 116. 107309–107309. 24 indexed citations
18.
Fisher, Oliver J., Nicholas J. Watson, Josep Escrig, & Rachel L. Gomes. (2019). Intelligent Resource Use to Deliver Waste Valorisation and Process Resilience in Manufacturing Environments. Johnson Matthey Technology Review. 64(1). 93–99. 23 indexed citations
19.
Escrig, Josep, et al.. (2019). Clean-in-place monitoring of different food fouling materials using ultrasonic measurements. Food Control. 104. 358–366. 27 indexed citations
20.
Martínez‐Cuenca, Raúl, et al.. (2016). Multi-needle capacitance probe for non-conductive two-phase flows. Measurement Science and Technology. 27(7). 74004–74004. 10 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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