Rasa Garjonytė

32 total papers · 990 total citations
30 papers, 849 citations indexed

About

Rasa Garjonytė is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Bioengineering. According to data from OpenAlex, Rasa Garjonytė has authored 30 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 15 papers in Electrochemistry and 10 papers in Bioengineering. Recurrent topics in Rasa Garjonytė's work include Electrochemical sensors and biosensors (18 papers), Electrochemical Analysis and Applications (15 papers) and Analytical Chemistry and Sensors (10 papers). Rasa Garjonytė is often cited by papers focused on Electrochemical sensors and biosensors (18 papers), Electrochemical Analysis and Applications (15 papers) and Analytical Chemistry and Sensors (10 papers). Rasa Garjonytė collaborates with scholars based in Lithuania, China and Sweden. Rasa Garjonytė's co-authors include Albertas Malinauskas, Asta Judžentienė, Rolandas Meškys, Lo Gorton, Lo Gorton, Jurgita Švedienė, Jūrate Vaičiūnienė, Gražina Skridlaitė, Ramunė Stanevičienė and Algimantas Paškevičius and has published in prestigious journals such as Scientific Reports, Molecules and Biosensors and Bioelectronics.

In The Last Decade

Rasa Garjonytė

30 papers receiving 826 citations

Author Peers

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

Author						Papers	Cites
Rasa Garjonytė	607	343	297	280	221	30	849
Monica Florescu	561 0.9×	281 0.8×	202 0.7×	212 0.8×	303 1.4×	42	944
Şule Pekyardımcı	421 0.7×	240 0.7×	202 0.7×	103 0.4×	283 1.3×	36	699
Khalid Riffi Temsamani	574 0.9×	442 1.3×	290 1.0×	229 0.8×	131 0.6×	35	817
Jin-Young Yoo	525 0.9×	186 0.5×	185 0.6×	198 0.7×	209 0.9×	38	766
Alberto Sánchez Arribas	415 0.7×	347 1.0×	151 0.5×	121 0.4×	110 0.5×	28	778
Erol Akyılmaz	704 1.2×	359 1.0×	324 1.1×	125 0.4×	360 1.6×	45	1.0k
Tesfaye Waryo	447 0.7×	247 0.7×	125 0.4×	239 0.9×	370 1.7×	52	1.0k
Shahryar Shakeri	377 0.6×	217 0.6×	155 0.5×	90 0.3×	257 1.2×	24	872
Lucilene Dornelles Mello	511 0.8×	288 0.8×	167 0.6×	81 0.3×	364 1.6×	20	958
Meareg Amare	572 0.9×	333 1.0×	220 0.7×	113 0.4×	161 0.7×	41	871

Countries citing papers authored by Rasa Garjonytė

Since Specialization

Citations

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

Fields of papers citing papers by Rasa Garjonytė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasa Garjonytė

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