J. Soto

1.9k total citations
58 papers, 1.5k citations indexed

About

J. Soto is a scholar working on Radiological and Ultrasound Technology, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, J. Soto has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiological and Ultrasound Technology, 17 papers in Global and Planetary Change and 10 papers in Artificial Intelligence. Recurrent topics in J. Soto's work include Radioactivity and Radon Measurements (19 papers), Radioactive contamination and transfer (13 papers) and Nuclear and radioactivity studies (9 papers). J. Soto is often cited by papers focused on Radioactivity and Radon Measurements (19 papers), Radioactive contamination and transfer (13 papers) and Nuclear and radioactivity studies (9 papers). J. Soto collaborates with scholars based in Spain, Cuba and United Kingdom. J. Soto's co-authors include Ana Navas, J. Machı́n, Luis Quindós, Pedro L. Fernández, José A. Gómez, Carmen Ródenas Calatayud, Javier Palarea‐Albaladejo, José M. Cecilia, Andrés Bueno-Crespo and Andrés Muñoz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environment International.

In The Last Decade

J. Soto

56 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Soto Spain 22 565 457 299 240 209 58 1.5k
J. Hilton United Kingdom 25 419 0.7× 626 1.4× 89 0.3× 379 1.6× 362 1.7× 77 1.9k
Győző Jordán Hungary 21 213 0.4× 217 0.5× 228 0.8× 189 0.8× 123 0.6× 58 1.4k
Alcides Pereira Portugal 19 442 0.8× 398 0.9× 21 0.1× 78 0.3× 256 1.2× 88 1.3k
Katsuaki Koike Japan 29 118 0.2× 287 0.6× 76 0.3× 196 0.8× 151 0.7× 170 2.8k
Snežana Dragović Serbia 23 749 1.3× 381 0.8× 56 0.2× 70 0.3× 41 0.2× 61 1.5k
Haruko Wainwright United States 24 109 0.2× 354 0.8× 69 0.2× 211 0.9× 571 2.7× 98 1.8k
Xu‐Sheng Wang China 36 58 0.1× 530 1.2× 130 0.4× 324 1.4× 495 2.4× 193 3.6k
Jian Zhou United Kingdom 26 29 0.1× 274 0.6× 95 0.3× 297 1.2× 439 2.1× 118 2.8k
Zekâi̇ Şen Türkiye 26 69 0.1× 1.9k 4.1× 94 0.3× 117 0.5× 565 2.7× 138 3.2k
Valerio Tramutoli Italy 31 117 0.2× 1.0k 2.3× 22 0.1× 281 1.2× 819 3.9× 183 3.6k

Countries citing papers authored by J. Soto

Since Specialization
Citations

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

Fields of papers citing papers by J. Soto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Soto

This figure shows the co-authorship network connecting the top 25 collaborators of J. Soto. A scholar is included among the top collaborators of J. Soto 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. Soto. J. Soto 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.
Terroso-Sáenz, Fernando, J. Soto, Andrés Muñoz, & Philippe Roose. (2025). PRESTO: A Recommender of Musical Collaborations Based on Heterogeneous Graph Neural Networks. International Journal of Interactive Multimedia and Artificial Intelligence. 9(6). 28–37. 1 indexed citations
2.
Hernández, Gonzalo, J. Soto, Oriol Caritg, et al.. (2024). Effect of aggressive vs conservative screening and confirmatory test on time to extubation among patients at low or intermediate risk: a randomized clinical trial. Intensive Care Medicine. 50(2). 258–267. 14 indexed citations
3.
Terroso-Sáenz, Fernando, J. Soto, & Andrés Muñoz. (2023). Music Mobility Patterns: How Songs Propagate Around The World Through Spotify. Pattern Recognition. 143. 109807–109807. 4 indexed citations
4.
Soto, J., et al.. (2023). A simple method for the estimation of minimum and maximum air temperature monthly mean maps using MODIS images in the region of Murcia, Spain. SHILAP Revista de lepidopterología. 59–71. 4 indexed citations
5.
Cebrián, Juan M., et al.. (2021). Evaluation of Clustering Algorithms on HPC Platforms. Mathematics. 9(17). 2156–2156. 3 indexed citations
6.
Cecilia, José M., et al.. (2018). High-Throughput Infrastructure for Advanced ITS Services: A Case Study on Air Pollution Monitoring. IEEE Transactions on Intelligent Transportation Systems. 19(7). 2246–2257. 8 indexed citations
7.
Martínez‐España, Raquel, et al.. (2018). Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain.. JUCS - Journal of Universal Computer Science. 24. 261–276. 41 indexed citations
8.
Soto, J., et al.. (2012). Evolución de los deslizamientos de ladera mediante su caracterización con Cs-137.. 16(1). 73–81.
9.
Soto, J., et al.. (2007). Improving probabilities in a fuzzy clustering partition. Fuzzy Sets and Systems. 159(4). 406–421. 15 indexed citations
10.
Viguri, Javier R., María Jesús Irabién, Iñaki Yusta Arnal, et al.. (2006). Physico-chemical and toxicological characterization of the historic estuarine sediments: A multidisciplinary approach. Environment International. 33(4). 436–444. 65 indexed citations
11.
Soto, J., et al.. (2006). A fuzzy clustering application to precise orbit determination. Journal of Computational and Applied Mathematics. 204(1). 137–143. 10 indexed citations
12.
Navas, Ana, J. Soto, & Jerónimo López-Martı́nez. (2005). Radionuclides in soils of Byers Peninsula, South Shetland Islands, Western Antarctica. Applied Radiation and Isotopes. 62(5). 809–816. 47 indexed citations
13.
Soto, J., et al.. (2003). 210Pb dating of sediments from Havana Bay. Journal of Radioanalytical and Nuclear Chemistry. 256(3). 561–564. 17 indexed citations
14.
Navas, Ana, J. Soto, & J. Machı́n. (2002). 238U, 226Ra, 210Pb, 232Th and 40K activities in soil profiles of the Flysch sector (Central Spanish Pyrenees). Applied Radiation and Isotopes. 57(4). 579–589. 92 indexed citations
15.
Soto, J. & José A. Gómez. (1999). OCCUPATIONAL DOSES FROM RADON IN SPANISH SPAS. Health Physics. 76(4). 398–401. 16 indexed citations
16.
Soto, J., Pedro L. Fernández, José A. Gómez, & Carmen Ródenas Calatayud. (1995). Study of the Occurrence of 222Rn and 226Ra in Drinking Water in Spain. Health Physics. 69(6). 961–965. 8 indexed citations
17.
Quindós, Luis, Pedro L. Fernández, J. Soto, Carmen Ródenas Calatayud, & José A. Gómez. (1994). Natural Radioactivity in Spanish Soils. Health Physics. 66(2). 194–200. 157 indexed citations
18.
Quindós, Luis, Pedro L. Fernández, & J. Soto. (1991). Short- Vs. Long-term Indoor Radon Measurements. Health Physics. 61(4). 539–542. 7 indexed citations
19.
Quindós, Luis, Pedro L. Fernández, J. Soto, & G.J. Newton. (1991). A modified Lucas cell for leakage measurement from encapsulated radium sources. International Journal of Radiation Applications and Instrumentation Part A Applied Radiation and Isotopes. 42(11). 1108–1110. 10 indexed citations
20.
Quindós, Luis, G.J. Newton, Pedro L. Fernández, & J. Soto. (1988). Natural radioactivity of some Spanish building materials. The Science of The Total Environment. 68. 181–185. 4 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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