Martín Ochoa

110 total papers · 2.2k total citations
51 papers, 1.0k citations indexed

About

Martín Ochoa is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Martín Ochoa has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Signal Processing, 24 papers in Artificial Intelligence and 20 papers in Computer Networks and Communications. Recurrent topics in Martín Ochoa's work include Advanced Malware Detection Techniques (27 papers), Network Security and Intrusion Detection (18 papers) and Internet Traffic Analysis and Secure E-voting (10 papers). Martín Ochoa is often cited by papers focused on Advanced Malware Detection Techniques (27 papers), Network Security and Intrusion Detection (18 papers) and Internet Traffic Analysis and Secure E-voting (10 papers). Martín Ochoa collaborates with scholars based in Singapore, Germany and Switzerland. Martín Ochoa's co-authors include Juan Guarnizo, Yuval Elovici, Nils Ole Tippenhauer, Asaf Shabtai, Alexander Pretschner, Flavio Toffalini, Ivan Homoliak, Yair Meidan, Jianying Zhou and Aditya P. Mathur and has published in prestigious journals such as ACM Computing Surveys, Electric Power Systems Research and Computers & Security.

In The Last Decade

Martín Ochoa

50 papers receiving 984 citations

Hit Papers

ProfilIoT 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Martín Ochoa 626 534 486 406 140 51 1.0k
Altair O. Santin 617 1.0× 340 0.6× 467 1.0× 247 0.6× 82 0.6× 84 869
Federico Maggi 494 0.8× 588 1.1× 416 0.9× 529 1.3× 82 0.6× 50 1.1k
Ibrahim Ghafir 835 1.3× 516 1.0× 420 0.9× 545 1.3× 98 0.7× 59 1.2k
Ulf Lindqvist 787 1.3× 441 0.8× 431 0.9× 374 0.9× 265 1.9× 55 1.1k
Natalia Stakhanova 900 1.4× 654 1.2× 645 1.3× 447 1.1× 67 0.5× 52 1.2k
Yan Jia 493 0.8× 253 0.5× 469 1.0× 495 1.2× 65 0.5× 67 1.1k
Sergey Bratus 332 0.5× 391 0.7× 438 0.9× 292 0.7× 60 0.4× 67 798
Rayford B. Vaughn 536 0.9× 265 0.5× 338 0.7× 439 1.1× 212 1.5× 66 913
Zhen Han 455 0.7× 368 0.7× 376 0.8× 364 0.9× 59 0.4× 95 902
Nayeem Islam 632 1.0× 427 0.8× 538 1.1× 404 1.0× 49 0.3× 31 1.1k

Countries citing papers authored by Martín Ochoa

Since Specialization
Citations

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

Fields of papers citing papers by Martín Ochoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Ochoa

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