M.A.M. Gijs

102 total papers · 474 total citations
30 papers, 395 citations indexed

About

M.A.M. Gijs is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M.A.M. Gijs has authored 30 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 14 papers in Electrical and Electronic Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M.A.M. Gijs's work include Microfluidic and Bio-sensing Technologies (6 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). M.A.M. Gijs is often cited by papers focused on Microfluidic and Bio-sensing Technologies (6 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). M.A.M. Gijs collaborates with scholars based in Switzerland, Germany and United Kingdom. M.A.M. Gijs's co-authors include V.K. Parashar, Caroline Vandevyver, A. Rida, Ulrike Lehmann, Thomas Lehnert, Raphaël Doenlen, Philippe Cettour-Rose, Johan Auwerx, A. Sayah and J. Jorritsma and has published in prestigious journals such as Applied Physics Letters, Sensors and Actuators B Chemical and RSC Advances.

In The Last Decade

M.A.M. Gijs

28 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
M.A.M. Gijs	258	169	90	39	35	30	395
Junwei Su	245 0.9×	200 1.2×	88 1.0×	55 1.4×	31 0.9×	36	371
Giancarlo Corti	148 0.6×	110 0.7×	110 1.2×	23 0.6×	31 0.9×	31	334
Jessica L. Riesterer	116 0.4×	112 0.7×	180 2.0×	38 1.0×	37 1.1×	26	384
Ai-Wu Li	124 0.5×	166 1.0×	115 1.3×	56 1.4×	13 0.4×	38	384
Dušan Hemzal	177 0.7×	152 0.9×	174 1.9×	79 2.0×	17 0.5×	29	426
Fang Wang	179 0.7×	112 0.7×	122 1.4×	19 0.5×	57 1.6×	23	415
E. Yegân Erdem	213 0.8×	141 0.8×	70 0.8×	16 0.4×	55 1.6×	30	335
Baoshan Guo	130 0.5×	79 0.5×	68 0.8×	82 2.1×	56 1.6×	30	336
Maria Belegratis	162 0.6×	101 0.6×	42 0.5×	53 1.4×	33 0.9×	21	352
Xugang Xiong	187 0.7×	190 1.1×	160 1.8×	82 2.1×	44 1.3×	18	367

Countries citing papers authored by M.A.M. Gijs

Since Specialization

Citations

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

Fields of papers citing papers by M.A.M. Gijs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A.M. Gijs. 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 M.A.M. Gijs. The network helps show where M.A.M. Gijs may publish in the future.

Co-authorship network of co-authors of M.A.M. Gijs

This figure shows the co-authorship network connecting the top 25 collaborators of M.A.M. Gijs. A scholar is included among the top collaborators of M.A.M. Gijs 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 M.A.M. Gijs. M.A.M. Gijs 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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