Andreas Loukas

1.8k total citations
30 papers, 733 citations indexed

About

Andreas Loukas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Andreas Loukas has authored 30 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Andreas Loukas's work include Advanced Graph Neural Networks (14 papers), Complex Network Analysis Techniques (9 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Andreas Loukas is often cited by papers focused on Advanced Graph Neural Networks (14 papers), Complex Network Analysis Techniques (9 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Andreas Loukas collaborates with scholars based in Netherlands, Switzerland and Germany. Andreas Loukas's co-authors include Geert Leus, Andrea Simonetto, Elvin Isufi, Nathanaël Perraudin, Benjamin Ricaud, Nicolas Tremblay, Marco Zúñiga, Pascal Frossard, Koen Langendoen and Vassilis Kalofolias and has published in prestigious journals such as IEEE Transactions on Signal Processing, PLoS Computational Biology and IEEE Signal Processing Letters.

In The Last Decade

Andreas Loukas

29 papers receiving 723 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andreas Loukas Netherlands	13	502	287	200	94	77	30	733
Rohan Varma United States	8	575 1.1×	260 0.9×	174 0.9×	73 0.8×	201 2.6×	20	872
Jiantao Jiao United States	13	411 0.8×	85 0.3×	98 0.5×	76 0.8×	72 0.9×	54	711
Akshay Gadde United States	7	612 1.2×	387 1.3×	108 0.5×	43 0.5×	153 2.0×	13	770
Wenjiang Pei China	15	168 0.3×	275 1.0×	233 1.2×	223 2.4×	165 2.1×	109	839
Lu Zhou China	14	395 0.8×	86 0.3×	315 1.6×	75 0.8×	127 1.6×	60	769
Александра Тутуева Russia	16	132 0.3×	425 1.5×	167 0.8×	88 0.9×	353 4.6×	51	734
Hilmi E. Egilmez United States	14	282 0.6×	123 0.4×	582 2.9×	172 1.8×	385 5.0×	25	1.0k
Grzegorz Świrszcz United States	11	239 0.5×	82 0.3×	55 0.3×	56 0.6×	77 1.0×	32	625
Daniele Grattarola Switzerland	10	339 0.7×	86 0.3×	38 0.2×	55 0.6×	129 1.7×	15	591

Countries citing papers authored by Andreas Loukas

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Loukas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Loukas

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

All Works

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20 of 20 papers shown

Harteveld, Zander, Ирина Морозова, Casper A. Goverde, et al.. (2024). Exploring “dark-matter” protein folds using deep learning. Cell Systems. 15(10). 898–910.e5. 3 indexed citations

Scheck, Andreas, Stéphane Rosset, Michaël Defferrard, et al.. (2022). RosettaSurf—A surface-centric computational design approach. PLoS Computational Biology. 18(3). e1009178–e1009178. 4 indexed citations

Krawczuk, Igor, P. Abranches, Andreas Loukas, & Volkan Cevher. (2021). GG-GAN: A Geometric Graph Generative Adversarial Network. 2 indexed citations

Avin, Chen, et al.. (2020). Dynamic Balanced Graph Partitioning. SIAM Journal on Discrete Mathematics. 34(3). 1791–1812. 5 indexed citations

Isufi, Elvin, Andreas Loukas, Nathanaël Perraudin, & Geert Leus. (2019). Forecasting Time Series With VARMA Recursions on Graphs. IEEE Transactions on Signal Processing. 67(18). 4870–4885. 73 indexed citations

Tremblay, Nicolas & Andreas Loukas. (2019). Approximating Spectral Clustering via Sampling: a Review. arXiv (Cornell University). 1 indexed citations

Avin, Chen, et al.. (2018). rDAN : Toward robust demand-aware network designs. Information Processing Letters. 133. 5–9. 24 indexed citations

Loukas, Andreas. (2017). How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices. International Conference on Machine Learning. 2228–2237. 5 indexed citations

Isufi, Elvin, Andreas Loukas, & Geert Leus. (2017). Autoregressive moving average graph filters a stable distributed implementation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4119–4123. 8 indexed citations

10.

Kalofolias, Vassilis, Andreas Loukas, Dorina Thanou, & Pascal Frossard. (2017). Learning time varying graphs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2826–2830. 48 indexed citations

11.

Loukas, Andreas, et al.. (2017). A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs. IEEE Transactions on Signal Processing. 66(3). 817–829. 109 indexed citations

12.

Cattani, Marco, Andreas Loukas, Marco Zimmerling, Marco Zúñiga, & Koen Langendoen. (2016). Staffetta. 13 indexed citations

13.

Isufi, Elvin, Andreas Loukas, Andrea Simonetto, & Geert Leus. (2016). Separable autoregressive moving average graph-temporal filters. 200–204. 19 indexed citations

14.

Loukas, Andreas, et al.. (2016). Frequency analysis of time-varying graph signals. 346–350. 24 indexed citations

15.

Loukas, Andreas, Marco Cattani, Marco Zúñiga, & Jie Gao. (2015). Graph scale-space theory for distributed peak and pit identification. 118–129. 7 indexed citations

16.

Cattani, Marco, Marco Zúñiga, Andreas Loukas, & Koen Langendoen. (2014). Lightweight neighborhood cardinality estimation in dynamic wireless networks. Information Processing in Sensor Networks. 179–189. 13 indexed citations

17.

Loukas, Andreas, et al.. (2014). How to identify global trends from local decisions? Event region detection on mobile networks. 336. 1177–1185. 12 indexed citations

18.

Loukas, Andreas, Marco Zúñiga, Matthias Woehrle, Marco Cattani, & Koen Langendoen. (2013). Think globally, act locally. 265–276. 12 indexed citations

19.

Loukas, Andreas, Matthias Woehrle, & Koen Langendoen. (2011). On mining sensor network software repositories. 25–30. 1 indexed citations

20.

Loukas, Andreas, et al.. (2008). A software platform for developing multi-player pervasive games using small programmable object technologies. IRIS Research product catalog (Sapienza University of Rome). 2006. 544–546. 2 indexed citations

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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