Ignacio Martín

414 total citations
26 papers, 245 citations indexed

About

Ignacio Martín is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Ignacio Martín has authored 26 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Signal Processing and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ignacio Martín's work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (7 papers) and Advanced Optical Network Technologies (5 papers). Ignacio Martín is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (7 papers) and Advanced Optical Network Technologies (5 papers). Ignacio Martín collaborates with scholars based in Spain, United Kingdom and Italy. Ignacio Martín's co-authors include José Alberto Hernández, Óscar González de Dios, Guido Maier, Sebastian Troìa, Francesco Musumeci, Rodolfo Alvizu, David Larrabeiti, Antonio Castillo Guzmán, Francisco Tirado and Alfonso Muñoz and has published in prestigious journals such as IEEE Communications Magazine, Advanced Science and Journal of The Royal Society Interface.

In The Last Decade

Ignacio Martín

24 papers receiving 240 citations

Peers

Ignacio Martín

EEE

CNC

Syed Zeeshan Hussain India

Oliver Gasser Germany

Vishal Gupta India

George V. Neville-Neil United States

Eladio Gutiérrez Spain

Ionut Trestian United States

Denis Collange France

Evi Nemeth United States

Pere Vilà Spain

Syed Zeeshan Hussain India

Ignacio Martín

140 ×1.2

EEE

94 ×0.9

CNC

21 ×0.4

54 ×1.4

52 ×1.7

Citations per year, relative to Ignacio Martín Ignacio Martín (= 1×) peers Syed Zeeshan Hussain

Countries citing papers authored by Ignacio Martín

Since Specialization

Citations

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

Fields of papers citing papers by Ignacio Martín

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Martín

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

Martín, Ignacio, Jan Fousek, Michael Schirner, et al.. (2025). TVB C++: A Fast and Flexible Back‐End for The Virtual Brain. Advanced Science. 13(2). e06440–e06440. 1 indexed citations

Martín, Ignacio, José Alberto Hernández, Alfonso Muñoz, & Antonio Castillo Guzmán. (2023). Android Malware Characterization Using Metadata and Machine Learning Techniques. e-Archivo (Carlos III University of Madrid). 2 indexed citations

Martín, Ignacio, Francisco Pastor, Félix Fuentes-Hurtado, et al.. (2023). Predicting Room Impulse Responses Through Encoder-Decoder Convolutional Neural Networks. 1–6. 1 indexed citations

Obradovich, Nick, Ömer Özak, Ignacio Martín, et al.. (2022). Expanding the measurement of culture with a sample of two billion humans. Journal of The Royal Society Interface. 19(190). 20220085–20220085. 16 indexed citations

Hernández, José Alberto, et al.. (2022). Applications of Machine Learning Techniques for What-if Analysis and Network Overload Detection. 1–7. 3 indexed citations

Obradovich, Nick, Ömer Özak, Ignacio Martín, et al.. (2020). Expanding the Measurement of Culture with a Sample of Two Billion Humans. SSRN Electronic Journal. 4 indexed citations

Obradovich, Nick, Ömer Özak, Ignacio Martín, et al.. (2020). Expanding the Measurement of Culture with a Sample of Two Billion Humans. SSRN Electronic Journal. 1 indexed citations

Martín, Ignacio, Sebastian Troìa, José Alberto Hernández, et al.. (2019). Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks. IEEE Transactions on Network and Service Management. 16(3). 871–883. 58 indexed citations

Martín, Ignacio, et al.. (2019). Machine-Learning based analysis and classification of Android malware signatures. Future Generation Computer Systems. 97. 295–305. 26 indexed citations

10.

Martín, Ignacio, José Alberto Hernández, & Óscar González de Dios. (2019). Netgen: A Fast and Scalable Tool for the Generation and Labeling of Networking Datasets. 1–4. 2 indexed citations

11.

Troìa, Sebastian, Ignacio Martín, Guido Maier, et al.. (2019). Machine Learning-assisted Planning and Provisioning for SDN/NFV-enabled Metropolitan Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 438–442. 7 indexed citations

12.

Hernández, José Alberto, et al.. (2019). Meeting the Traffic Requirements of Residential Users in the Next Decade with Current FTTH Standards: How Much? How Long?. IEEE Communications Magazine. 57(6). 120–125. 34 indexed citations

13.

Troìa, Sebastian, Ignacio Martín, José Alberto Hernández, et al.. (2018). Machine-Learning-Assisted Routing in SDN-Based Optical Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–3. 20 indexed citations

14.

Martín, Ignacio, et al.. (2018). SignatureMiner: A Fast Anti-Virus Signature Intelligence Tool. 1–2. 2 indexed citations

15.

Martín, Ignacio, José Alberto Hernández, Sebastian Troìa, et al.. (2018). Is Machine Learning Suitable for Solving RWA Problems in Optical Networks?. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–3. 15 indexed citations

16.

Martín, Ignacio & José Alberto Hernández. (2018). CloneSpot: Fast detection of Android repackages. Future Generation Computer Systems. 94. 740–748. 3 indexed citations

17.

Martín, Ignacio, et al.. (2016). POSTER. 1778–1780. 4 indexed citations

18.

Muñoz, Alfonso, Ignacio Martín, Antonio Castillo Guzmán, & José Alberto Hernández. (2015). Android malware detection from Google Play meta-data: Selection of important features. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2. 701–702. 15 indexed citations

19.

Jaramillo, Ó.A., et al.. (2015). Herramienta para el Dimensionamiento de Sistemas Solares para Generación de Calor en Procesos Industriales.

20.

Martín, Ignacio, et al.. (2011). Experimentando con metales. La funcionalidad en arqueometalurgia. 447–452.

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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