J. García Pardiñas

25.9k total citations
6 papers, 20 citations indexed

About

J. García Pardiñas is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, J. García Pardiñas has authored 6 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 1 paper in Electrical and Electronic Engineering. Recurrent topics in J. García Pardiñas's work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers) and Particle Detector Development and Performance (2 papers). J. García Pardiñas is often cited by papers focused on Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers) and Particle Detector Development and Performance (2 papers). J. García Pardiñas collaborates with scholars based in Switzerland, Italy and United Kingdom. J. García Pardiñas's co-authors include S. Meloni, E. Buchanan, M. Williams, K. Carvalho Akiba, Jonas Nathanael Eschle, N. Serra, M. van Beuzekom, P. Collins, E. Dall’Occo and A. Mauri and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation and Machine Learning Science and Technology.

In The Last Decade

J. García Pardiñas

2 papers receiving 19 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. García Pardiñas Switzerland	2	15	12	10	2	1	6	20
J. Guimarães da Costa China	2	16 1.1×	9 0.8×	11 1.1×	2 1.0×		3	17
J. Barreiro Guimarães da Costa China	4	16 1.1×	15 1.3×	7 0.7×	2 1.0×		4	20
D. Zuolo Italy	2	14 0.9×	12 1.0×	11 1.1×	1 0.5×		6	16
S. A. Stucci United States	3	14 0.9×	12 1.0×	9 0.9×	1 0.5×		14	21
L. Lautner Germany	3	15 1.0×	13 1.1×	8 0.8×			6	17
L. Diehl Germany	3	15 1.0×	15 1.3×	11 1.1×			12	17
F. Hinterkeuser Germany	2	15 1.0×	12 1.0×	8 0.8×			3	16
C. Grieco Spain	3	12 0.8×	12 1.0×	10 1.0×			6	15
Philippe Schwemling France	3	13 0.9×	12 1.0×	9 0.9×			6	14
T. Wang Germany	3	13 0.9×	11 0.9×	10 1.0×			3	14

Countries citing papers authored by J. García Pardiñas

Since Specialization

Citations

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

Fields of papers citing papers by J. García Pardiñas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. García Pardiñas

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

All Works

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6 of 6 papers shown

1.

Sutcliffe, W., M. Calvi, S. Capelli, et al.. (2025). Scalable multi-task learning for particle collision event reconstruction with heterogeneous graph neural networks. Machine Learning Science and Technology. 6(4). 45060–45060.

2.

Gavrikov, Arsenii, J. García Pardiñas, & A. Garfagnini. (2025). DINAMO: Dynamic and INterpretable anomaly MOnitoring for large-scale particle physics experiments. Machine Learning Science and Technology. 6(3). 35050–35050.

3.

Pardiñas, J. García, et al.. (2025). Human-in-the-loop reinforcement learning for data quality monitoring in particle physics experiments. Machine Learning Science and Technology. 6(4). 45032–45032.

4.

Pardiñas, J. García, M. Calvi, Jonas Nathanael Eschle, et al.. (2023). GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton–Proton Collisions. PubMed. 7(1). 12–12. 7 indexed citations

5.

Pardiñas, J. García, S. Meloni, L. Grillo, et al.. (2022). RooHammerModel: interfacing the HAMMER software tool with HistFactory and RooFit. Journal of Instrumentation. 17(4). T04006–T04006.

6.

Akiba, K. Carvalho, M. van Beuzekom, E. Buchanan, et al.. (2017). Development of a silicon bulk radiation damage model for Sentaurus TCAD. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 874. 94–102. 13 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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