Arkaitz Artetxe

461 total citations
24 papers, 274 citations indexed

About

Arkaitz Artetxe is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Arkaitz Artetxe has authored 24 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Health Information Management. Recurrent topics in Arkaitz Artetxe's work include Data Stream Mining Techniques (3 papers), Imbalanced Data Classification Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Arkaitz Artetxe is often cited by papers focused on Data Stream Mining Techniques (3 papers), Imbalanced Data Classification Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Arkaitz Artetxe collaborates with scholars based in Spain, Colombia and Chile. Arkaitz Artetxe's co-authors include Manuel Graña, Andoni Beristain, Sebastián A. Ríos, Nekane Larburu, Edward Szczerbicki, Carlos Toro, Basilio Sierra, Cesar Sanín, Eduardo Carrasco and E. Pérez and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Corrosion Science.

In The Last Decade

Arkaitz Artetxe

19 papers receiving 270 citations

Peers

Arkaitz Artetxe
Comparison fields: 5 of 82
  • Artificial Intelligence 131
  • Cardiology and Cardiovascular Medicine 78
  • Health Information Management 65
  • Epidemiology 50
  • Emergency Medicine 34
Replace Andoni Beristain with:
Andoni Beristain Spain
Minjie Xia China
Gina Barnes United States
Zeeshan Syed United States
Francesca Raimondi United Kingdom
Oliver Wang United States
Magda Bucholc United Kingdom
Patricia Kovatch United States
Hye Jin Kam South Korea
Scott Pappada United States
Andoni Beristain Spain View profile →
Citations per field, relative to Arkaitz Artetxe
Arkaitz Artetxe · 1×
Citations per year, relative to Arkaitz Artetxe
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Countries citing papers authored by Arkaitz Artetxe

Since Specialization
Citations

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

Fields of papers citing papers by Arkaitz Artetxe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arkaitz Artetxe

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 0
5 4
6 7
7 24
8 0
9 125
10 11
11 21
12 10
13 20
14
GoCardio: A novel approach for mobility in cardiac monitoring
3
15 1
16 1
17 5
18 0
19 1
20 7

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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2026