Gintautas Garšva

21 total papers · 453 total citations
12 papers, 284 citations indexed

About

Gintautas Garšva is a scholar working on Artificial Intelligence, Accounting and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gintautas Garšva has authored 12 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Accounting and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gintautas Garšva's work include Financial Distress and Bankruptcy Prediction (6 papers), Imbalanced Data Classification Techniques (5 papers) and Text and Document Classification Technologies (2 papers). Gintautas Garšva is often cited by papers focused on Financial Distress and Bankruptcy Prediction (6 papers), Imbalanced Data Classification Techniques (5 papers) and Text and Document Classification Technologies (2 papers). Gintautas Garšva collaborates with scholars based in Lithuania and Taiwan. Gintautas Garšva's co-authors include Paulius Danėnas, Saulius Grigalevičius, Saulius Gudas, Juozas V. Gražulevičius, Vygintas Jankauskas, Daiva Tavgenienė, Ching‐Yi Hsieh, Gintaré Kručaité, Jwo‐Huei Jou and Rimvydas Simutis and has published in prestigious journals such as Expert Systems with Applications, Journal of Photochemistry and Photobiology A Chemistry and Dyes and Pigments.

In The Last Decade

Gintautas Garšva

12 papers receiving 268 citations

Author Peers

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

Author						Papers	Cites
Gintautas Garšva	153	120	64	47	35	12	284
David Veganzones	148 1.0×	215 1.8×	18 0.3×	60 1.3×	4 0.1×	15	289
Nazeeh Ghatasheh	118 0.8×	40 0.3×	20 0.3×	15 0.3×	105 3.0×	16	266
Kostadin Mishev	134 0.9×	13 0.1×	24 0.4×	26 0.6×	41 1.2×	15	269
Peter Martey Addo	108 0.7×	120 1.0×	10 0.2×	72 1.5×	8 0.2×	8	250
Zhongcui Li	53 0.3×	3 0.0×	134 2.1×	43 0.9×	19 0.5×	8	300
Pyry Takala	204 1.3×	19 0.2×	21 0.3×	40 0.9×	18 0.5×	5	300
Abdulalem Ali	137 0.9×	39 0.3×	15 0.2×	2 0.0×	89 2.5×	13	312
Shaoyu Li	123 0.8×	8 0.1×	14 0.2×	23 0.5×	54 1.5×	16	299
Frédéric Oblé	286 1.9×	107 0.9×	34 0.5×	3 0.1×	68 1.9×	7	326
Jon T.S. Quah	206 1.3×	91 0.8×	21 0.3×	4 0.1×	96 2.7×	8	263

Countries citing papers authored by Gintautas Garšva

Since Specialization

Citations

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

Fields of papers citing papers by Gintautas Garšva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gintautas Garšva

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