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 Arup Acharya sits on this spectrum.
This scientist: 114 publications — 13th percentile
13% 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 Arup Acharya sits on this spectrum.
This scientist: 38 D-Index — 30th percentile
30% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Arup Acharya is affiliated with IBM in the United States and has contributed extensively to the field of Computer Science, with a focus on areas such as Software, Information Systems, Computer Networks and Communications, Signal Processing, and Artificial Intelligence. Their research outputs emphasize a variety of specialized topics including Spam and Phishing Detection, Software Testing and Debugging Techniques, Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Software Reliability and Analysis Research, Software Engineering Research, and Sentiment Analysis and Opinion Mining.
Frequently publishing in venues such as Procedia Computer Science, the International Journal of Computing Science and Mathematics, IEEE Access, the 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), and Advances in intelligent systems and computing, Acharya's work spans multiple facets of computing and software engineering. Procedia Computer Science stands out as the most common publication venue for this researcher.
Coauthor collaborations are a notable aspect of Acharya's work, with frequent partnerships involving Sanjukta Mohanty, Namita Panda, Umakanta Dash, Monalisa Sahoo, and Durga Prasad Mohapatra. These collaborations have produced a range of publications that intersect various domains of computer science research.
Key recent papers include:
Acharya's work on feature selection techniques in URL detection and phishing prediction highlights a focus on practical applications within network security and intrusion detection. Other contributions include comprehensive reviews and applications of artificial intelligence techniques such as convolutional neural networks for sentiment analysis.
With 50 publications categorized under Computer Science, the research trajectory also covers 14 works in Software, 13 in Information Systems, 7 in Computer Networks and Communications, 7 in Signal Processing, and 7 in Artificial Intelligence. This distribution underlines a multidisciplinary approach across several key subfields in technology and computing.
Arup Acharya;Rajiv Dighe
Anup Kumar Talukdar;B. R. Badrinath;Arup Acharya
Arup Acharya;Stefan Berger;Chandrasekhar Narayanaswami
A. Acharya;B.R. Badrinath
Arup Acharya;Anees A. Shaikh;Renu Tewari;Dinesh C. Verma
Arup Acharya;B. R. Badrinath
A. Acharya;A. Misra;S. Bansal
B.R. Badrinath;A. Acharya;T. Imielinski
B. R. Badrinath;Arup Acharya;Tomasz Imieliński
Arup Acharya;Erich M. Nahum;John Michael Tracey;Xiping Wang
A.K. Talukdar;B.R. Badrinath;A. Acharya
N. Banerjee;A. Acharya;S.K. Das
A. Acharya;B.R. Badrinath
A. Acharya;Jun Li;B. Rajagopalan;D. Raychaudhuri
Arup Acharya;Khalil S. Amiri
Acharya Arup;Singh Aameek
D. Ooms;B. Sales;W. Livens;A. Acharya
A. Acharya;A. Bakre;B.R. Badrinath
Arup Acharya;Dilip Dinkar Kandlur;Priya Mahadevan;Zon-Yin Shae
Anup Kumar Talukdar;B. R. Badrinath;Arup Acharya
Arup Acharya;Rong N Chang;Dilip Kandlur;Zon-Yin Shae
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