The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Emil Lupu sits on this spectrum.
This scientist: 233 publications — 57th percentile
57% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Emil Lupu sits on this spectrum.
This scientist: 51 D-Index — 63rd percentile
63% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Emil Lupu is affiliated with Imperial College London in the United Kingdom and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and information security. Their research spans several subfields, including artificial intelligence, information systems, computer networks and communications, computer vision and pattern recognition, and signal processing.
The core areas of Emil Lupu's research include adversarial robustness in machine learning, information and cyber security, network security and intrusion detection, anomaly detection techniques and applications, advanced malware detection techniques, COVID-19 diagnosis using AI, and advanced neural network applications.
They have an active publication record with notable recent papers such as:
Emil Lupu frequently collaborates with several researchers, including Luis Muñoz-González, Javier Carnerero-Cano, Kenneth T. Co, Zhongyuan Hau, and David Martínez-Rego. Their publication venues reflect a breadth of scholarly contributions across sources such as arXiv (Cornell University), IEEE Transactions on Dependable and Secure Computing, Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Neural Networks and Learning Systems, and Lecture Notes in Computer Science.
Their work contributes to advancing understanding in both theoretical and applied aspects of computing, with significant emphasis on the security and resilience of cyber-physical systems and machine learning models under adversarial conditions.
Nicodemos Damianou;Naranker Dulay;Emil Lupu;Morris Sloman
E.C. Lupu;M. Sloman
Luis Muñoz-González;Battista Biggio;Ambra Demontis;Andrea Paudice
N Damianou;N Dulay;EC Lupu;Sloman
A.K. Bandara;E.C. Lupu;A. Russo
M. Sloman;E. Lupu
A.K. Bandara;E.C. Lupu;J. Moffett;A. Russo
N. Dulay;E. Lupu;M. Sloman;N. Damianou
E. Lupu;M. Sloman
Leonidas Lymberopoulos;Emil Lupu;Morris Sloman
Morris Sloman;Emil C. Lupu;Jorge Lobo
Daniele Sgandurra;Luis Muñoz-González;Rabih Mohsen;Emil C. Lupu
Luis Muñoz-González;Kenneth T. Co;Emil C. Lupu
Emil C. Lupu;Morris Sloman
Nicodemos Damianou;Arosha K Bandara;Morris Sloman;Emil C Lupu
Kevin Twidle;Naranker Dulay;Emil Lupu;Morris Sloman
E. Lupu;N. Dulay;M. Sloman;J. Sventek
Dhruv Pandya;Ravi Jain;E. Lupu
Andrea Paudice;Luis Muñoz-González;András György;Emil C. Lupu
E. Lupu;M. Sloman
Andrea Paudice;Luis Muñoz-González;Emil C. Lupu
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