G Ungureanu

89 total papers · 405 total citations
38 papers, 143 citations indexed

About

G Ungureanu is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, G Ungureanu has authored 38 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 11 papers in Cognitive Neuroscience and 8 papers in Signal Processing. Recurrent topics in G Ungureanu's work include EEG and Brain-Computer Interfaces (11 papers), ECG Monitoring and Analysis (11 papers) and Blind Source Separation Techniques (8 papers). G Ungureanu is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), ECG Monitoring and Analysis (11 papers) and Blind Source Separation Techniques (8 papers). G Ungureanu collaborates with scholars based in Romania, Germany and Netherlands. G Ungureanu's co-authors include Rodica Strungaru, W. Wolf, Ilinca Gussi, Alexandru Nicolae Ungureanu, Cristian Berce, Ioan Ştefan Florian, S. Guid Oei, Ioana Dana Alexa, G Popa and Adrian Covic and has published in prestigious journals such as Neuro-Oncology, Computers in Biology and Medicine and Computational and Mathematical Methods in Medicine.

In The Last Decade

G Ungureanu

32 papers receiving 137 citations

Author Peers

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

Author						Papers	Cites
G Ungureanu	80	44	40	30	23	38	143
Tai Le	153 1.9×	96 2.2×	45 1.1×	65 2.2×	23 1.0×	24	282
Lu Xu	26 0.3×	26 0.6×	12 0.3×	43 1.4×	29 1.3×	21	240
Adam Connolly	196 2.5×	34 0.8×	8 0.2×	25 0.8×	22 1.0×	19	266
Pauline Dreesen	37 0.5×	54 1.2×	10 0.3×	31 1.0×	47 2.0×	18	259
Kai-Cheng Hsu	39 0.5×	25 0.6×	46 1.1×	74 2.5×	10 0.4×	20	251
Antoine Serrurier	9 0.1×	47 1.1×	38 0.9×	11 0.4×	29 1.3×	27	238
Indrek Rätsep	67 0.8×	26 0.6×	6 0.1×	38 1.3×	10 0.4×	20	190
Recep Avci	59 0.7×	42 1.0×	4 0.1×	18 0.6×	42 1.8×	56	229
T. Pałko	63 0.8×	66 1.5×	10 0.3×	9 0.3×	41 1.8×	39	172
Xiaoyong Ren	16 0.2×	37 0.8×	19 0.5×	49 1.6×	60 2.6×	36	260

Countries citing papers authored by G Ungureanu

Since Specialization

Citations

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

Fields of papers citing papers by G Ungureanu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Ungureanu

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