Sergio Trilles

2.1k total citations
60 papers, 1.3k citations indexed

About

Sergio Trilles is a scholar working on Computer Networks and Communications, Environmental Engineering and Geography, Planning and Development. According to data from OpenAlex, Sergio Trilles has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Environmental Engineering and 13 papers in Geography, Planning and Development. Recurrent topics in Sergio Trilles's work include Geographic Information Systems Studies (13 papers), Air Quality Monitoring and Forecasting (12 papers) and Air Quality and Health Impacts (10 papers). Sergio Trilles is often cited by papers focused on Geographic Information Systems Studies (13 papers), Air Quality Monitoring and Forecasting (12 papers) and Air Quality and Health Impacts (10 papers). Sergio Trilles collaborates with scholars based in Spain, Portugal and Germany. Sergio Trilles's co-authors include Joaquı́n Huerta, Joaquín Torres-Sospedra, Óscar Belmonte, Francisco Ramos, Ditsuhi Iskandaryan, Raúl Montoliu, Alberto González‐Pérez, Carlos Granell, Auriol Degbelo and Devanjan Bhattacharya and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Sergio Trilles

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Trilles Spain 21 426 308 240 157 154 60 1.3k
Patrick Weber Germany 7 397 0.9× 298 1.0× 222 0.9× 207 1.3× 364 2.4× 24 2.2k
Jun-Seok Oh United States 23 217 0.5× 193 0.6× 89 0.4× 167 1.1× 111 0.7× 141 1.9k
Sarbani Roy India 22 315 0.7× 618 2.0× 259 1.1× 310 2.0× 105 0.7× 164 1.7k
Joaquı́n Huerta Spain 23 1.3k 3.1× 482 1.6× 88 0.4× 283 1.8× 592 3.8× 81 2.3k
Mohammad Shahadat Hossain Bangladesh 26 164 0.4× 258 0.8× 152 0.6× 661 4.2× 90 0.6× 125 2.0k
Ansar-Ul-Haque Yasar Belgium 23 386 0.9× 558 1.8× 412 1.7× 174 1.1× 54 0.4× 167 2.3k
Maitreyee Dutta India 17 129 0.3× 342 1.1× 383 1.6× 220 1.4× 117 0.8× 102 1.3k
Yao‐Yi Chiang United States 22 157 0.4× 154 0.5× 369 1.5× 251 1.6× 245 1.6× 85 1.7k
Jay Taneja United States 22 1.2k 2.8× 667 2.2× 189 0.8× 94 0.6× 27 0.2× 84 2.5k
M. Rajasekhara Babu India 11 255 0.6× 412 1.3× 160 0.7× 220 1.4× 25 0.2× 65 980

Countries citing papers authored by Sergio Trilles

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Trilles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Trilles

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Trilles. A scholar is included among the top collaborators of Sergio Trilles 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 Sergio Trilles. Sergio Trilles 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.
Chukhno, Nadezhda, Javier Díez-González, Sergio Trilles, et al.. (2025). Are D2D and RIS in the same league? Cooperative RSSI-based localization model and performance comparison. Ad Hoc Networks. 175. 103862–103862.
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Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2023). A set of deep learning algorithms for air quality prediction applications. Software Impacts. 17. 100562–100562. 3 indexed citations
5.
Iskandaryan, Ditsuhi, et al.. (2023). An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment. Internet of Things. 23. 100848–100848. 20 indexed citations
6.
Trilles, Sergio, et al.. (2022). A Decentralized Location-Based Reputation Management System in the IoT Using Blockchain. IEEE Internet of Things Journal. 9(16). 15100–15115. 26 indexed citations
7.
Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2022). Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid. PLoS ONE. 17(6). e0269295–e0269295. 18 indexed citations
8.
Trilles, Sergio, et al.. (2021). Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination. ISPRS International Journal of Geo-Information. 10(2). 98–98. 12 indexed citations
9.
Trilles, Sergio, et al.. (2021). Development of a Common Framework for Analysing Public Transport Smart Card Data. Energies. 14(19). 6083–6083. 4 indexed citations
10.
Chukhno, Nadezhda, Sergio Trilles, Joaquín Torres-Sospedra, Antonio Iera, & Giuseppe Araniti. (2021). D2D-Based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey. IEEE Sensors Journal. 22(6). 5101–5112. 31 indexed citations
11.
Trilles, Sergio, et al.. (2021). Data on CO2, temperature and air humidity records in Spanish classrooms during the reopening of schools in the COVID-19 pandemic. SHILAP Revista de lepidopterología. 39. 107489–107489. 6 indexed citations
12.
Trilles, Sergio, et al.. (2020). Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research. ISPRS International Journal of Geo-Information. 9(3). 138–138. 11 indexed citations
13.
Torres-Sospedra, Joaquín, Philipp Richter, Adriano Moreira, et al.. (2020). A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting. IEEE Transactions on Mobile Computing. 21(3). 769–782. 46 indexed citations
14.
Trilles, Sergio, et al.. (2020). A geotagged image dataset with compass directions for studying the drivers of farmland abandonment. SHILAP Revista de lepidopterología. 33. 106340–106340. 1 indexed citations
15.
Trilles, Sergio, et al.. (2020). Data on records of environmental phenomena using low-cost sensors in vineyard smallholdings. SHILAP Revista de lepidopterología. 33. 106524–106524. 5 indexed citations
16.
Trilles, Sergio, Carlos Granell, Auriol Degbelo, & Devanjan Bhattacharya. (2020). Interactive guidelines: Public communication of data-based research in cities. PLoS ONE. 15(1). e0228008–e0228008. 3 indexed citations
17.
Trilles, Sergio, et al.. (2020). Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture. Sensors. 20(22). 6597–6597. 3 indexed citations
18.
Trilles, Sergio, Joaquín Torres-Sospedra, Óscar Belmonte, et al.. (2019). Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease. Sustainable Computing Informatics and Systems. 28. 100309–100309. 61 indexed citations
19.
Trilles, Sergio, et al.. (2016). Deployment of an open sensorized platform in a smart city context. Future Generation Computer Systems. 76. 221–233. 45 indexed citations
20.
Trilles, Sergio, et al.. (2015). SEnviro: A Sensorized Platform Proposal Using Open Hardware and Open Standards. Sensors. 15(3). 5555–5582. 38 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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