Daniel Gibert

1.4k total citations · 1 hit paper
20 papers, 821 citations indexed

About

Daniel Gibert is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Daniel Gibert has authored 20 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in Daniel Gibert's work include Advanced Malware Detection Techniques (13 papers), Anomaly Detection Techniques and Applications (10 papers) and Network Security and Intrusion Detection (10 papers). Daniel Gibert is often cited by papers focused on Advanced Malware Detection Techniques (13 papers), Anomaly Detection Techniques and Applications (10 papers) and Network Security and Intrusion Detection (10 papers). Daniel Gibert collaborates with scholars based in Spain, Ireland and India. Daniel Gibert's co-authors include Jordi Planes, Carles Mateu, Quan Le, João Marques‐Silva, M. Venkatesan, Matt Fredrikson, K. Chandrasekaran, Álvaro de Gracia, Cèsar Fernández and Alicia Crespo and has published in prestigious journals such as Expert Systems with Applications, Applied Thermal Engineering and Journal of Network and Computer Applications.

In The Last Decade

Daniel Gibert

19 papers receiving 785 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

2020 352 citations Daniel Gibert, Carles Mateu et al. Journal of Network and Computer Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Gibert Spain	10	701	600	412	272	75	20	821
Blake Anderson United States	9	536 0.8×	623 1.0×	488 1.2×	193 0.7×	71 0.9×	20	739
Fabio Di Troia United States	14	699 1.0×	656 1.1×	351 0.9×	387 1.4×	94 1.3×	46	861
Samaneh Mahdavifar Canada	9	446 0.6×	474 0.8×	262 0.6×	248 0.9×	85 1.1×	12	650
Carsten Willems Germany	8	1.1k 1.6×	936 1.6×	565 1.4×	559 2.1×	209 2.8×	13	1.3k
Davide Ariu Italy	13	516 0.7×	570 0.9×	440 1.1×	262 1.0×	81 1.1×	19	763
Igino Corona Italy	11	579 0.8×	643 1.1×	477 1.2×	317 1.2×	68 0.9×	16	834
Thomas H. Austin United States	16	860 1.2×	686 1.1×	574 1.4×	502 1.8×	145 1.9×	41	1.0k
Prahlad Fogla United States	8	568 0.8×	792 1.3×	628 1.5×	261 1.0×	44 0.6×	10	979
Zhaoguo Wang China	10	411 0.6×	395 0.7×	177 0.4×	193 0.7×	199 2.7×	25	612
Purui Su China	11	286 0.4×	228 0.4×	319 0.8×	217 0.8×	160 2.1×	54	577

Countries citing papers authored by Daniel Gibert

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Gibert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gibert

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

Gibert, Daniel, et al.. (2025). Assessing the impact of packing on static machine learning-based malware detection and classification systems. Computers & Security. 156. 104495–104495. 1 indexed citations

Gibert, Daniel, et al.. (2024). Deep Learning Based Monocular Depth Estimation for Object Distance Inference in 2D Images. International Journal of Innovative Science and Research Technology (IJISRT). 3096–3100. 1 indexed citations

Gibert, Daniel, et al.. (2023). Robust Graph Neural-Network-Based Encoder for Node and Edge Deep Anomaly Detection on Attributed Networks. Electronics. 12(6). 1501–1501. 6 indexed citations

Gibert, Daniel, et al.. (2023). A Wolf in Sheep’s Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. 415–426. 10 indexed citations

Crespo, Alicia, Daniel Gibert, Álvaro de Gracia, & Cèsar Fernández. (2023). Optimal control of a solar-driven seasonal sorption storage system through deep reinforcement learning. Applied Thermal Engineering. 238. 121905–121905. 5 indexed citations

Gibert, Daniel, et al.. (2023). Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. 173–184. 3 indexed citations

Gibert, Daniel, Jordi Planes, Carles Mateu, & Quan Le. (2022). Fusing feature engineering and deep learning: A case study for malware classification. Expert Systems with Applications. 207. 117957–117957. 46 indexed citations

Gibert, Daniel. (2022). PE Parser: A Python package for Portable Executable files processing. Software Impacts. 13. 100365–100365. 3 indexed citations

Alsinet, Teresa, Josep Argelich, Ramón Béjar, Daniel Gibert, & Jordi Planes. (2022). Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis. International Journal of Computational Intelligence Systems. 15(1). 1 indexed citations

10.

Gibert, Daniel, Matt Fredrikson, Carles Mateu, Jordi Planes, & Quan Le. (2021). Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. Computers & Security. 113. 102543–102543. 12 indexed citations

11.

Gibert, Daniel & M. Venkatesan. (2021). Robust Graph based Deep Anomaly Detection on Attributed networks. 1029–1033. 4 indexed citations

12.

Gibert, Daniel, Carles Mateu, & Jordi Planes. (2020). Orthrus: A Bimodal Learning Architecture for Malware Classification. 1–8. 11 indexed citations

13.

Gibert, Daniel, Carles Mateu, Jordi Planes, & João Marques‐Silva. (2020). Auditing static machine learning anti-Malware tools against metamorphic attacks. Computers & Security. 102. 102159–102159. 15 indexed citations

14.

Gibert, Daniel, Carles Mateu, & Jordi Planes. (2020). The rise of machine learning for detection and classification of malware: Research developments, trends and challenges. Journal of Network and Computer Applications. 153. 102526–102526. 352 indexed citations breakdown →

15.

Gibert, Daniel, Carles Mateu, & Jordi Planes. (2020). HYDRA: A multimodal deep learning framework for malware classification. Computers & Security. 95. 101873–101873. 92 indexed citations

16.

Gibert, Daniel, Carles Mateu, & Jordi Planes. (2019). A Hierarchical Convolutional Neural Network for Malware Classification. 1–8. 28 indexed citations

17.

Gibert, Daniel, et al.. (2018). Classification of Malware by Using Structural Entropy on Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 56 indexed citations

18.

Gibert, Daniel, et al.. (2018). Using convolutional neural networks for classification of malware represented as images. Journal of Computer Virology and Hacking Techniques. 15(1). 15–28. 173 indexed citations

19.

Baskaran, Mani, et al.. (2016). DATA HIDING USING LSB WITH QR CODE DATA PATTERN IMAGE. International Journal For Science Technology And Engineering. 2(10). 327–332. 1 indexed citations

20.

Gibert, Daniel. (1981). L'église fortifiée de Feigneux (Oise). Persée (Ministère de lEnseignement supérieur et de la Recherche). 25(1). 17–25. 1 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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