Verónica C. Martins

28 total papers · 812 total citations
22 papers, 612 citations indexed

About

Verónica C. Martins is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Verónica C. Martins has authored 22 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 11 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Verónica C. Martins's work include Biosensors and Analytical Detection (9 papers), Microfluidic and Bio-sensing Technologies (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Verónica C. Martins is often cited by papers focused on Biosensors and Analytical Detection (9 papers), Microfluidic and Bio-sensing Technologies (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Verónica C. Martins collaborates with scholars based in Portugal, Spain and Italy. Verónica C. Martins's co-authors include Luís P. Fonseca, Joaquim M. S. Cabral, D.M.F. Prazeres, V. Vojinović, Ana M. Azevedo, P. P. Freitas, Susana Cardoso, Filipe A. Cardoso, J. Germano and M.S. Piedade and has published in prestigious journals such as Sensors, Biosensors and Bioelectronics and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Verónica C. Martins

22 papers receiving 594 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Verónica C. Martins	259	258	154	98	70	22	612
Giorgi Shtenberg	360 1.4×	419 1.6×	123 0.8×	21 0.2×	269 3.8×	38	668
Yanke Shan	360 1.4×	275 1.1×	60 0.4×	26 0.3×	116 1.7×	32	577
Ravikrishnan Elangovan	234 0.9×	127 0.5×	71 0.5×	49 0.5×	112 1.6×	40	665
Clelton A. Santos	348 1.3×	251 1.0×	45 0.3×	123 1.3×	49 0.7×	36	582
J. Brooks	160 0.6×	110 0.4×	79 0.5×	40 0.4×	30 0.4×	25	523
Yun Liu	237 0.9×	133 0.5×	41 0.3×	94 1.0×	66 0.9×	25	622
Jennifer C. Jackson	121 0.5×	144 0.6×	89 0.6×	125 1.3×	70 1.0×	34	669
Claudia Koch	255 1.0×	124 0.5×	62 0.4×	141 1.4×	8 0.1×	20	658
Lu Chen	273 1.1×	179 0.7×	95 0.6×	30 0.3×	66 0.9×	36	645
Yujiro Yoshioka	115 0.4×	39 0.2×	76 0.5×	65 0.7×	84 1.2×	27	498

Countries citing papers authored by Verónica C. Martins

Since Specialization

Citations

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

Fields of papers citing papers by Verónica C. Martins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica C. Martins. 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 Verónica C. Martins. The network helps show where Verónica C. Martins may publish in the future.

Co-authorship network of co-authors of Verónica C. Martins

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

All Works

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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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