Alexander Lavin

2.5k total citations · 1 hit paper
14 papers, 1.0k citations indexed

About

Alexander Lavin is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Health Informatics. According to data from OpenAlex, Alexander Lavin has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Health Informatics. Recurrent topics in Alexander Lavin's work include Data Stream Mining Techniques (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Meteorological Phenomena and Simulations (2 papers). Alexander Lavin is often cited by papers focused on Data Stream Mining Techniques (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Meteorological Phenomena and Simulations (2 papers). Alexander Lavin collaborates with scholars based in United States, Chile and United Kingdom. Alexander Lavin's co-authors include Subutai Ahmad, R. Hernández‐Peón, Diego Klabjan, Miguel Lázaro-Gredilla, Huayan Wang, Yi Liu, Dileep George, Bhaskara Marthi, Zhaoshi Meng and Xinghua Lou and has published in prestigious journals such as Science, Nature Communications and Electroencephalography and Clinical Neurophysiology.

In The Last Decade

Alexander Lavin

13 papers receiving 988 citations

Hit Papers

Unsupervised real-time anomaly detection for streaming data 2017 2026 2020 2023 2017 200 400 600

Peers

Alexander Lavin
Comparison fields: 5 of 118
  • Artificial Intelligence 601
  • Computer Networks and Communications 301
  • Signal Processing 281
  • Control and Systems Engineering 110
  • Computer Vision and Pattern Recognition 109
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Juanyong Duan China View profile →
Citations per field, relative to Alexander Lavin
Alexander Lavin · 1×
Citations per year, relative to Alexander Lavin
Alexander Lavin · 1×

Countries citing papers authored by Alexander Lavin

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Lavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Lavin

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 14
5 12
6 78
7 3
8 3
9 151
10
Unsupervised real-time anomaly detection for streaming data breakdown →
618
11 53
12
European FerryBox Project: From Online Oceanographic Measurements to Environmental Information
8
13 62
14 40

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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