Matias Madou

25 total papers · 712 total citations
16 papers, 345 citations indexed

About

Matias Madou is a scholar working on Information Systems, Signal Processing and Software. According to data from OpenAlex, Matias Madou has authored 16 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Signal Processing and 7 papers in Software. Recurrent topics in Matias Madou's work include Advanced Malware Detection Techniques (10 papers), Software Engineering Research (8 papers) and Software Testing and Debugging Techniques (7 papers). Matias Madou is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Software Engineering Research (8 papers) and Software Testing and Debugging Techniques (7 papers). Matias Madou collaborates with scholars based in Belgium and United States. Matias Madou's co-authors include Koen De Bosschere, S. Debray, Bjorn De Sutter, Bertrand Anckaert, Ludo Van Put, Bart Preneel, Bruno De Bus, Rajiv Gupta, Xiangyu Zhang and Vijay Nagarajan and has published in prestigious journals such as Stroke, Lecture notes in computer science and Software Practice and Experience.

In The Last Decade

Matias Madou

16 papers receiving 321 citations

Author Peers

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

Author Last Decade Papers Cites
Matias Madou 300 204 191 125 63 16 345
Nimrod Partush 272 0.9× 151 0.7× 268 1.4× 202 1.6× 77 1.2× 12 388
Babak Yadegari 374 1.2× 210 1.0× 186 1.0× 110 0.9× 193 3.1× 10 398
Hayawardh Vijayakumar 152 0.5× 211 1.0× 205 1.1× 57 0.5× 84 1.3× 20 317
Yaowen Zheng 199 0.7× 130 0.6× 117 0.6× 107 0.9× 120 1.9× 24 322
Adwait Nadkarni 224 0.7× 145 0.7× 164 0.9× 65 0.5× 100 1.6× 19 294
Dominik Maier 189 0.6× 85 0.4× 105 0.5× 192 1.5× 72 1.1× 18 310
Chad Spensky 261 0.9× 234 1.1× 137 0.7× 116 0.9× 104 1.7× 17 372
Aravind Prakash 277 0.9× 272 1.3× 145 0.8× 44 0.4× 132 2.1× 25 366
Ravi Chugh 150 0.5× 247 1.2× 209 1.1× 98 0.8× 78 1.2× 21 382
Cristian-Alexandru Staicu 180 0.6× 137 0.7× 245 1.3× 113 0.9× 55 0.9× 13 304

Countries citing papers authored by Matias Madou

Since Specialization
Citations

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

Fields of papers citing papers by Matias Madou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matias Madou

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