Mathieu Lazerges

896 citations
39 papers · 720 · h-index 15

Impact in

Papers in

Mathieu Lazerges

38 papers receiving 701 citations

Peers

Mathieu Lazerges
Comparison fields: 5 of 80
  • Bioengineering 115
  • Electrochemistry 125
  • Analytical Chemistry 77
  • Biomedical Engineering 300
  • Filtration and Separation 12
Replace Patricia G. Molina with:
Patricia G. Molina Argentina
Donglai Lu United States
Pierre Bouvrette Canada
Diana Bogdan Romania
Alastair J. S. McIntosh United Kingdom
Volodymyr Chegel Ukraine
Xianghu Tang China
Mauro Aquiles La-Scalea Brazil
Karen Wohnrath Brazil
Miriam Simon Germany
Mathieu Lazerges relative to Patricia G. Molina Argentina Patricia G. Molina's profile →
Citations per field
00.5×2.8×
Patricia G. Molina · 1×
Citations per year

Countries citing papers authored by Mathieu Lazerges

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Lazerges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Lazerges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Lazerges Line = papers co-authored together Mathieu Lazerges links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009159
2 202152
3 201052
4 201150
5 201345
6 200639
7 200335
8 201632
9 200930
10 200826
11 201221
12 201617
13 200716
14 201316
15 200914
16 200813
17 201212
18 200812
19 200510
20 20218

About Mathieu Lazerges

Mathieu Lazerges is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry and Electrochemistry, having authored 39 papers that have together received 720 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), Acoustic Wave Resonator Technologies (9 papers), Molecular Junctions and Nanostructures (7 papers), Biosensors and Analytical Detection (7 papers), Electrochemical Analysis and Applications (6 papers), Conducting polymers and applications (5 papers), Analytical Chemistry and Sensors (5 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Bioengineering (115 citations), Electrochemistry (125 citations), Analytical Chemistry (77 citations), Biomedical Engineering (300 citations) and Filtration and Separation (12 citations). Mathieu Lazerges has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Fethi Bédioui, Hubert Perrot, Christine Pernelle, Christophe Védrine, Françis Garnier, Philippe Espeau, Yohann Corvis, Samy Rémita, Youssef Lattach and Chantal Compère. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Sensors and Actuators B Chemical, New Journal of Chemistry, Lab on a Chip and Journal of Solid State Electrochemistry.

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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