Jorge R. Vergara

1.4k total citations · 1 hit paper
8 papers, 945 citations indexed

About

Jorge R. Vergara is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geophysics. According to data from OpenAlex, Jorge R. Vergara has authored 8 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Geophysics. Recurrent topics in Jorge R. Vergara's work include Neural Networks and Applications (3 papers), Seismic Waves and Analysis (2 papers) and Face and Expression Recognition (2 papers). Jorge R. Vergara is often cited by papers focused on Neural Networks and Applications (3 papers), Seismic Waves and Analysis (2 papers) and Face and Expression Recognition (2 papers). Jorge R. Vergara collaborates with scholars based in Chile, Sweden and United States. Jorge R. Vergara's co-authors include P. A. Estévez, Máx Chacón, Millaray Curilem, Gonzalo Acuña, Fernando Huenupán, Muhammad Salman Khan, Walid Hussein, Néstor Becerra Yoma, Carlos Cardona and F. E. Bauer and has published in prestigious journals such as The Astronomical Journal, Journal of Volcanology and Geothermal Research and Cancers.

In The Last Decade

Jorge R. Vergara

8 papers receiving 902 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.

A review of feature selection methods based on mutual information

2013 798 citations Jorge R. Vergara, P. A. Estévez Neural Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge R. Vergara Chile	5	494	217	138	90	71	8	945
Md. Monirul Kabir Bangladesh	12	445 0.9×	257 1.2×	111 0.8×	198 2.2×	78 1.1×	33	920
Kushal Kanti Ghosh India	17	462 0.9×	170 0.8×	117 0.8×	40 0.4×	102 1.4×	32	880
Jianyu Miao China	12	391 0.8×	269 1.2×	69 0.5×	42 0.5×	35 0.5×	41	841
Zhibin Pan China	23	418 0.8×	800 3.7×	142 1.0×	180 2.0×	86 1.2×	97	1.6k
Rahul Mazumder United States	12	325 0.7×	283 1.3×	149 1.1×	23 0.3×	51 0.7×	36	1.3k
Boaz Lerner Israel	21	400 0.8×	176 0.8×	320 2.3×	26 0.3×	34 0.5×	67	1.2k
Mark Schmidt Canada	14	537 1.1×	351 1.6×	72 0.5×	20 0.2×	32 0.5×	37	1.0k
Ian Nabney United Kingdom	7	285 0.6×	162 0.7×	78 0.6×	20 0.2×	51 0.7×	20	860
Xingjian Li China	14	335 0.7×	175 0.8×	30 0.2×	30 0.3×	25 0.4×	57	782
Osman N. Uçan Türkiye	16	333 0.7×	321 1.5×	37 0.3×	102 1.1×	25 0.4×	134	990

Countries citing papers authored by Jorge R. Vergara

Since Specialization

Citations

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

Fields of papers citing papers by Jorge R. Vergara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge R. Vergara. 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 Jorge R. Vergara. The network helps show where Jorge R. Vergara may publish in the future.

Co-authorship network of co-authors of Jorge R. Vergara

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Estévez, P. A., et al.. (2023). Model-based battery thermal parameter optimization using symbolic regression. Journal of Energy Storage. 73. 109243–109243. 3 indexed citations

2.

Tittarelli, Andrés, Anna Bergqvist, Daniel Uribe, et al.. (2023). Co-Expression of Immunohistochemical Markers MRP2, CXCR4, and PD-L1 in Gallbladder Tumors Is Associated with Prolonged Patient Survival. Cancers. 15(13). 3440–3440. 4 indexed citations

3.

Sanchéz-Sáez, P., Luis Martí, Nayat Sánchez-Pi, et al.. (2021). Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors. The Astronomical Journal. 162(5). 206–206. 25 indexed citations

4.

Vergara, Jorge R. & P. A. Estévez. (2017). A strategy for time series prediction using Segment Growing Neural Gas. Universidad de Chile. 4. 1–8. 1 indexed citations

5.

Curilem, Millaray, Jorge R. Vergara, Carlos Cardona, et al.. (2014). Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features. Journal of Volcanology and Geothermal Research. 282. 134–147. 35 indexed citations

6.

Vergara, Jorge R. & P. A. Estévez. (2013). A review of feature selection methods based on mutual information. Neural Computing and Applications. 24(1). 175–186. 798 indexed citations breakdown →

7.

Vergara, Jorge R. & P. A. Estévez. (2010). CMIM-2: An Enhanced Conditional Mutual Information Maximization Criterion for Feature Selection. 4 indexed citations

8.

Curilem, Millaray, et al.. (2008). Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms. Journal of Volcanology and Geothermal Research. 180(1). 1–8. 75 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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