Ignacio Heredia

1.0k total citations · 1 hit paper
15 papers, 545 citations indexed

About

Ignacio Heredia is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Food Science. According to data from OpenAlex, Ignacio Heredia has authored 15 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Food Science. Recurrent topics in Ignacio Heredia's work include Fermentation and Sensory Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Chemical Synthesis and Analysis (1 paper). Ignacio Heredia is often cited by papers focused on Fermentation and Sensory Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Chemical Synthesis and Analysis (1 paper). Ignacio Heredia collaborates with scholars based in Spain, Slovakia and Germany. Ignacio Heredia's co-authors include Álvaro López García, Viet Tran, Peter Malík, Štefan Dlugolinský, Giang Nguyen, Ladislav Hluchý, Martin Bobák, L. Lloret Iglesias, María Castrillo and C. Fernandez Madrazo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Artificial Intelligence Review.

In The Last Decade

Ignacio Heredia

10 papers receiving 521 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

2019 516 citations Giang Nguyen, Štefan Dlugolinský et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignacio Heredia Spain	4	175	74	69	68	40	15	545
Martin Bobák Slovakia	5	179 1.0×	86 1.2×	72 1.0×	78 1.1×	40 1.0×	21	555
Peter Malík Slovakia	7	195 1.1×	80 1.1×	92 1.3×	72 1.1×	69 1.7×	31	625
Štefan Dlugolinský Slovakia	6	245 1.4×	128 1.7×	73 1.1×	111 1.6×	62 1.6×	25	650
Alankrita Aggarwal India	6	171 1.0×	56 0.8×	167 2.4×	52 0.8×	49 1.2×	31	547
Ramzan Talib Pakistan	8	286 1.6×	77 1.0×	116 1.7×	141 2.1×	44 1.1×	26	667
Geon Heo South Korea	4	226 1.3×	52 0.7×	75 1.1×	64 0.9×	35 0.9×	6	534
G. Maragatham India	9	166 0.9×	52 0.7×	107 1.6×	52 0.8×	60 1.5×	39	614
Amelia Ritahani Ismail Malaysia	12	219 1.3×	62 0.8×	101 1.5×	141 2.1×	39 1.0×	74	789
Viet Tran Slovakia	10	249 1.4×	185 2.5×	83 1.2×	123 1.8×	70 1.8×	65	982
Siti Sophiayati Yuhaniz Malaysia	11	190 1.1×	69 0.9×	82 1.2×	35 0.5×	19 0.5×	46	494

Countries citing papers authored by Ignacio Heredia

Since Specialization

Citations

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

Fields of papers citing papers by Ignacio Heredia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Heredia

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

All Works

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15 of 15 papers shown

Heredia, Ignacio, et al.. (2024). Making Federated Learning Accessible to Scientists: The AI4EOSC Approach. UCrea (University of Cantabria). 253–264. 2 indexed citations

Heredia, Ignacio, L. Lloret Iglesias, Sílvia Yuste, et al.. (2024). Novel digital-based approach for evaluating wine components’ intake: A deep learning model to determine red wine volume in a glass from single-view images. Heliyon. 10(15). e35689–e35689.

Castrillo, María, Juraj Bartók, Ignacio Heredia, et al.. (2024). Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas. Earth Science Informatics. 17(6). 5561–5584. 1 indexed citations

Heredia, Ignacio, et al.. (2023). Novel deep learning method for coronary artery tortuosity detection through coronary angiography. Scientific Reports. 13(1). 11137–11137. 1 indexed citations

Heredia, Ignacio, et al.. (2023). Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study. Scientific Reports. 13(1). 6750–6750. 8 indexed citations

Heredia, Ignacio, L. Lloret Iglesias, Begoña Bartolomé, et al.. (2022). Artificial intelligence to estimate wine volume from single-view images. Heliyon. 8(9). e10557–e10557. 6 indexed citations

Baño‐Medina, Jorge, et al.. (2021). Use-case of Deep Generative Models for Perfect Prognosis Climate Downscaling. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1 indexed citations

Madrazo, C. Fernandez, Ignacio Heredia, L. Lloret Iglesias, & J. Marco. (2019). Application of a Convolutional Neural Network for image classification for the analysis of collisions in High Energy Physics. SHILAP Revista de lepidopterología. 7 indexed citations

Heredia, Ignacio, et al.. (2019). Plants classification engine. DIGITAL.CSIC (Spanish National Research Council (CSIC)).

10.

Heredia, Ignacio, et al.. (2019). Conus classification engine. DIGITAL.CSIC (Spanish National Research Council (CSIC)).

11.

Heredia, Ignacio, et al.. (2019). Image classification engine. DIGITAL.CSIC (Spanish National Research Council (CSIC)).

12.

Nguyen, Giang, Štefan Dlugolinský, Martin Bobák, et al.. (2019). Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey. Artificial Intelligence Review. 52(1). 77–124. 516 indexed citations breakdown →

13.

Heredia, Ignacio, et al.. (2018). Seeds classification engine. DIGITAL.CSIC (Spanish National Research Council (CSIC)).

14.

Heredia, Ignacio, et al.. (2018). Deep learning for weed identification based on seed images. Biodiversity Information Science and Standards. 2. e25749–e25749. 1 indexed citations

15.

Iglesias, L. Lloret, et al.. (2018). Convolutional Neural Networks for Phytoplankton identification and classification. Biodiversity Information Science and Standards. 2. e25762–e25762. 2 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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