Standout Papers

The rise of machine learning for detection and classification of malware: Research developments, trends and c... 2020 2026 2022 2024261
  1. The rise of machine learning for detection and classification of malware: Research developments, trends and challenges (2020)
    Daniel Gibert, Carles Mateu et al. Journal of Network and Computer Applications

Immediate Impact

37 standout
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Citing Papers

Advancing 6G: Survey for Explainable AI on Communications and Network Slicing
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2 intermediate papers

Works of Daniel Gibert being referenced

Robust Graph Neural-Network-Based Encoder for Node and Edge Deep Anomaly Detection on Attributed Networks
2023
The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
2020 Standout

Author Peers

Author Last Decade Papers Cites
Daniel Gibert 296 493 420 15 585
Sobia Wassan 242 381 336 8 554
Danish Vasan 330 536 496 11 727
Sal Stolfo 411 375 425 10 720
Ömer Aslan 317 494 555 21 730
Carsten Willems 180 521 465 9 563
Derui Wang 359 222 180 23 536
Eul Gyu Im 238 562 539 36 734
Rajasekhar Chaganti 264 258 433 18 609
Davide Ariu 302 364 400 19 530
Alwyn Roshan Pais 292 268 236 47 685

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2026