Nikos Aréchiga

957 total citations
32 papers, 343 citations indexed

About

Nikos Aréchiga is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software. According to data from OpenAlex, Nikos Aréchiga has authored 32 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 14 papers in Artificial Intelligence and 13 papers in Software. Recurrent topics in Nikos Aréchiga's work include Formal Methods in Verification (15 papers), Software Testing and Debugging Techniques (8 papers) and Autonomous Vehicle Technology and Safety (7 papers). Nikos Aréchiga is often cited by papers focused on Formal Methods in Verification (15 papers), Software Testing and Debugging Techniques (8 papers) and Autonomous Vehicle Technology and Safety (7 papers). Nikos Aréchiga collaborates with scholars based in United States, Switzerland and Spain. Nikos Aréchiga's co-authors include Jyotirmoy V. Deshmukh, James Kapinski, Sriram Sankaranarayanan, Marco Pavone, André Platzer, Sarah M. Loos, Bruce H. Krogh, Stefan Mitsch, Jan-David Quesel and Andrew Best and has published in prestigious journals such as The International Journal of Robotics Research, Journal of Mechanical Design and IEEE Robotics and Automation Letters.

In The Last Decade

Nikos Aréchiga

32 papers receiving 327 citations

Peers

Nikos Aréchiga
Comparison fields: 5 of 54
  • Computational Theory and Mathematics 135
  • Artificial Intelligence 115
  • Control and Systems Engineering 92
  • Automotive Engineering 69
  • Software 49
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Citations per field, relative to Nikos Aréchiga
Nikos Aréchiga · 1×
Citations per year, relative to Nikos Aréchiga
Nikos Aréchiga · 1×

Countries citing papers authored by Nikos Aréchiga

Since Specialization
Citations

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

Fields of papers citing papers by Nikos Aréchiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikos Aréchiga

This figure shows the co-authorship network connecting the top 25 collaborators of Nikos Aréchiga. A scholar is included among the top collaborators of Nikos Aréchiga 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 Nikos Aréchiga. Nikos Aréchiga 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 1
2 1
3 5
4 7
5 6
6 1
7 17
8 2
9
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
2
10
Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning
8
11 36
12 10
13 2
14 12
15 4
16 36
17 10
18 11
19 20
20 37

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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