Miguel Peris

1.8k total citations · 1 hit paper
30 papers, 1.3k citations indexed

About

Miguel Peris is a scholar working on Biomedical Engineering, Bioengineering and Control and Systems Engineering. According to data from OpenAlex, Miguel Peris has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 10 papers in Bioengineering and 5 papers in Control and Systems Engineering. Recurrent topics in Miguel Peris's work include Advanced Chemical Sensor Technologies (13 papers), Analytical Chemistry and Sensors (10 papers) and Analytical Chemistry and Chromatography (5 papers). Miguel Peris is often cited by papers focused on Advanced Chemical Sensor Technologies (13 papers), Analytical Chemistry and Sensors (10 papers) and Analytical Chemistry and Chromatography (5 papers). Miguel Peris collaborates with scholars based in Spain. Miguel Peris's co-authors include Laura Escuder‐Gilabert, R. Ors, Alberto Bonastre, Juan V. Capella, María José Fabra, María Luisa Castelló Gómez, María Dolores Ortolá, José Ramón Serrano, Rosa Puchades and Ángel Maquieira and has published in prestigious journals such as Food Chemistry, Trends in Food Science & Technology and Analytica Chimica Acta.

In The Last Decade

Miguel Peris

28 papers receiving 1.3k 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 21st century technique for food control: Electronic noses

2009 456 citations Miguel Peris, Laura Escuder‐Gilabert Analytica Chimica Acta profile →

Peers

Miguel Peris

BE

ND

AC

EEE

FS

Zhenbo Wei China

Arun Jana India

Tomasz Majchrzak Poland

Zouhair Haddi France

Nabarun Bhattacharyya India

Miguel Alcañíz Spain

Juan Manuel Gutiérrez Mexico

Huichun Yu China

M. Falasconi Italy

Xianqiao Hu China

Zhenbo Wei China

Miguel Peris

890 ×0.9

BE

284 ×1.1

ND

290 ×1.1

AC

346 ×1.6

EEE

155 ×0.8

FS

Citations per year, relative to Miguel Peris Miguel Peris (= 1×) peers Zhenbo Wei

Countries citing papers authored by Miguel Peris

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Peris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Peris

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Peris. A scholar is included among the top collaborators of Miguel Peris 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 Miguel Peris. Miguel Peris 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:

20 of 20 papers shown

1.

Peris, Miguel, et al.. (2022). Measuring the effects of a hydrogen peroxide mouth rinse on breath alcohol values. Heliyon. 8(4). e09274–e09274.

2.

Capella, Juan V., et al.. (2022). IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water. Sensors. 22(3). 842–842. 5 indexed citations

3.

Peris, Miguel, et al.. (2022). Smart sensors in environmental/water quality monitoring using IoT and cloud services. Trends in Environmental Analytical Chemistry. 35. e00173–e00173. 27 indexed citations

4.

Peris, Miguel. (2021). Understanding Le Châtelier’s principle fundamentals: five key questions. Chemistry Teacher International. 4(3). 203–205. 9 indexed citations

5.

Capella, Juan V., et al.. (2020). IoT & environmental analytical chemistry: Towards a profitable symbiosis. Trends in Environmental Analytical Chemistry. 27. e00095–e00095. 16 indexed citations

6.

Peris, Miguel, et al.. (2019). From the Laboratory to the Kitchen: New Alternatives to Healthier Bakery Products. Foods. 8(12). 660–660. 25 indexed citations

7.

Capella, Juan V., Alberto Bonastre, R. Ors, & Miguel Peris. (2014). A step forward in the in-line river monitoring of nitrate by means of a wireless sensor network. Sensors and Actuators B Chemical. 195. 396–403. 14 indexed citations

8.

Peris, Miguel & Laura Escuder‐Gilabert. (2013). On-line monitoring of food fermentation processes using electronic noses and electronic tongues: A review. Analytica Chimica Acta. 804. 29–36. 105 indexed citations

9.

Bonastre, Alberto, Juan V. Capella, R. Ors, & Miguel Peris. (2012). In-line monitoring of chemical-analysis processes using Wireless Sensor Networks. TrAC Trends in Analytical Chemistry. 34. 111–125. 21 indexed citations

10.

Escuder‐Gilabert, Laura & Miguel Peris. (2010). Review: Highlights in recent applications of electronic tongues in food analysis. Analytica Chimica Acta. 665(1). 15–25. 228 indexed citations

11.

Capella, Juan V., Alberto Bonastre, R. Ors, & Miguel Peris. (2009). A Wireless Sensor Network approach for distributed in-line chemical analysis of water. Talanta. 80(5). 1789–1798. 25 indexed citations

12.

Peris, Miguel & Laura Escuder‐Gilabert. (2009). A 21st century technique for food control: Electronic noses. Analytica Chimica Acta. 638(1). 1–15. 456 indexed citations breakdown →

13.

Bonastre, Alberto, R. Ors, Juan V. Capella, María José Fabra, & Miguel Peris. (2005). In-line chemical analysis of wastewater: present and future trends. TrAC Trends in Analytical Chemistry. 24(2). 128–137. 33 indexed citations

14.

Bonastre, Alberto, R. Ors, & Miguel Peris. (2004). Advanced automation of a flow injection analysis system for quality control of olive oil through the use of a distributed expert system. Analytica Chimica Acta. 506(2). 189–195. 16 indexed citations

15.

Peris, Miguel. (2002). Present and future of expert systems in food analysis. Analytica Chimica Acta. 454(1). 1–11. 14 indexed citations

16.

Peris, Miguel, R. Ors, Alberto Bonastre, & Pedro Gil. (1997). Application of rule nets to temporal reasoning in the monitoring of a chemical analysis process. 33(1). 49–54. 4 indexed citations

17.

Peris, Miguel, R. Ors, Alberto Bonastre, Pedro Gil, & José Ramón Serrano. (1997). Advanced application of rule nets to the automation of chemical analysis systems. Analytica Chimica Acta. 354(1-3). 249–253. 3 indexed citations

18.

Peris, Miguel. (1996). An Overview of Recent Expert System Applications in Analytical Chemistry. Critical Reviews in Analytical Chemistry. 26(4). 219–237. 12 indexed citations

19.

Peris, Miguel, et al.. (1993). An expert system as a tool for the specification and intelligent control of a flow injection analysis system. Chemometrics and Intelligent Laboratory Systems. 21(2-3). 243–247. 12 indexed citations

20.

Peris, Miguel, Dieter Müller, & Ángel Maquieira. (1991). Determination of total polyphenols in beers by flow injection analysis. Food Chemistry. 40(1). 1–8. 5 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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