Alexander Vergara

2.3k total citations · 1 hit paper
44 papers, 1.8k citations indexed

About

Alexander Vergara is a scholar working on Biomedical Engineering, Bioengineering and Electrical and Electronic Engineering. According to data from OpenAlex, Alexander Vergara has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 22 papers in Bioengineering and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Alexander Vergara's work include Advanced Chemical Sensor Technologies (41 papers), Analytical Chemistry and Sensors (22 papers) and Gas Sensing Nanomaterials and Sensors (19 papers). Alexander Vergara is often cited by papers focused on Advanced Chemical Sensor Technologies (41 papers), Analytical Chemistry and Sensors (22 papers) and Gas Sensing Nanomaterials and Sensors (19 papers). Alexander Vergara collaborates with scholars based in United States, Spain and Italy. Alexander Vergara's co-authors include Ramón Huerta, M. L. Homer, Jordi Fonollosa, Shankar Vembu, Tuba Ayhan, M. A. Ryan, Eduard Llobet, Nikolai F. Rulkov, Irene Rodríguez-Luján and Marco Trincavelli and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Alexander Vergara

44 papers receiving 1.7k 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.

Chemical gas sensor drift compensation using classifier ensembles

2012 495 citations Alexander Vergara, Shankar Vembu et al. Sensors and Actuators B Chemical profile →

Peers

Alexander Vergara

BE

EEE

IS

BIOEN

AI

Jordi Fonollosa Spain

Fengchun Tian China

Tim Pearce United Kingdom

A. Gutiérrez-Gálvez Spain

Antonio Pardo Spain

Marco Trincavelli Sweden

Guohua Hui China

Yan Shi China

Javier Burgués Spain

Luis Fernández Spain

Jordi Fonollosa Spain

Alexander Vergara

1.1k ×0.8

BE

785 ×0.9

EEE

379 ×0.8

IS

298 ×0.7

BIOEN

234 ×0.9

AI

Citations per year, relative to Alexander Vergara Alexander Vergara (= 1×) peers Jordi Fonollosa

Countries citing papers authored by Alexander Vergara

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Vergara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Vergara

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

All Works

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20 of 20 papers shown

1.

Martinelli, Eugenio, Gabriele Magna, Davide Polese, et al.. (2015). Stable Odor Recognition by a neuro-adaptive Electronic Nose. Scientific Reports. 5(1). 10960–10960. 12 indexed citations

2.

Martinelli, Eugenio, Gabriele Magna, Alexander Vergara, & Corrado Di Natale. (2014). Cooperative classifiers for reconfigurable sensor arrays. Sensors and Actuators B Chemical. 199. 83–92. 36 indexed citations

3.

Murguía, J.S., et al.. (2013). Two-dimensional wavelet transform feature extraction for porous silicon chemical sensors. Analytica Chimica Acta. 785. 1–15. 18 indexed citations

4.

Vergara, Alexander, et al.. (2013). On the performance of gas sensor arrays in open sampling systems using Inhibitory Support Vector Machines. Sensors and Actuators B Chemical. 185. 462–477. 141 indexed citations

5.

Fonollosa, Jordi, Alexander Vergara, Ramón Huerta, & Santiago Marco. (2013). Estimation of the limit of detection using information theory measures. Analytica Chimica Acta. 810. 1–9. 30 indexed citations

6.

Benkstein, Kurt D., Alexander Vergara, Christopher B. Montgomery, S. Semancik, & Baranidharan Raman. (2013). Methods for optimizing and extending the performance of chemiresistive gas microsensors. 1–4. 1 indexed citations

7.

Vergara, Alexander & Eduard Llobet. (2012). Sensor Selection and Chemo-Sensory Optimization: Toward an Adaptable Chemo-Sensory System. PubMed. 4. 19–19. 20 indexed citations

8.

Fonollosa, Jordi, Alexander Vergara, & Ramón Huerta. (2012). Sensor failure mitigation based on multiple kernels. 609. 1–4. 3 indexed citations

9.

Martinelli, Eugenio, Gabriele Magna, Saverio De Vito, et al.. (2012). An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation. Sensors and Actuators B Chemical. 177. 1017–1026. 50 indexed citations

10.

Vergara, Alexander & Eduard Llobet. (2011). Feature selection versus feature compression in the building of calibration models from FTIR-spectrophotometry datasets. Talanta. 88. 95–103. 7 indexed citations

11.

Trincavelli, Marco, Alexander Vergara, Nikolai F. Rulkov, et al.. (2011). Optimizing the Operating Temperature for an array of MOX Sensors on an Open Sampling System. AIP conference proceedings. 225–227. 4 indexed citations

12.

Vergara, Alexander, Ramón Huerta, Tuba Ayhan, et al.. (2011). Gas sensor drift mitigation using classifier ensembles. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 16–24. 11 indexed citations

13.

Berna, Amalia Z., Alexander Vergara, Marco Trincavelli, et al.. (2011). Evaluating Zeolite-Modified Sensors: towards a faster set of chemical sensors. AIP conference proceedings. 50–52. 3 indexed citations

14.

Muezzinoglu, Mehmet K., Alexander Vergara, & Ramón Huerta. (2010). A unified framework for Volatile Organic Compound classification and regression. 1–7. 14 indexed citations

15.

Vergara, Alexander, Mehmet K. Muezzinoglu, Nikolai F. Rulkov, & Ramón Huerta. (2010). Information-theoretic optimization of chemical sensors. Sensors and Actuators B Chemical. 148(1). 298–306. 27 indexed citations

16.

Vergara, Alexander, Mehmet K. Muezzinoglu, Nikolai F. Rulkov, & Ramón Huerta. (2009). Kullback-Leibler distance optimization for artificial chemo-sensors. 1146–1150. 2 indexed citations

17.

Muezzinoglu, Mehmet K., Alexander Vergara, Ramón Huerta, & M. I. Rabinovich. (2009). A sensor conditioning principle for odor identification. Sensors and Actuators B Chemical. 146(2). 472–476. 16 indexed citations

18.

Muezzinoglu, Mehmet K., Alexander Vergara, Ramón Huerta, et al.. (2008). Artificial Olfactory Brain for Mixture Identification. Neural Information Processing Systems. 21. 1121–1128. 10 indexed citations

19.

Vergara, Alexander, Eduard Llobet, J. Brezmes, et al.. (2006). Quantitative gas mixture analysis using temperature-modulated micro-hotplate gas sensors: Selection and validation of the optimal modulating frequencies. Sensors and Actuators B Chemical. 123(2). 1002–1016. 68 indexed citations

20.

Vinaixa, María, Alexander Vergara, Celal Duran, et al.. (2004). Fast detection of rancidity in potato crisps using e-noses based on mass spectrometry or gas sensors. Sensors and Actuators B Chemical. 106(1). 67–75. 43 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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