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 Shivakumar Vaithyanathan sits on this spectrum.
This scientist: 103 publications — 9th percentile
9% 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 Shivakumar Vaithyanathan sits on this spectrum.
This scientist: 37 D-Index — 27th percentile
27% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Shivakumar Vaithyanathan is affiliated with IBM in the United States, contributing to the field of engineering with a focus on industrial and manufacturing engineering. Their work intersects with the area of digital transformation in industry, which is a primary topic in their research activities.
The scientist has published research in venues such as arXiv (Cornell University). A recent paper authored by Vaithyanathan is titled Evaluation and Continual Improvement for an Enterprise AI Assistant, published in 2024. This paper reflects ongoing research efforts in enterprise artificial intelligence systems and their performance optimization.
Coauthor collaborations play a significant role in Vaithyanathan's research. Frequent collaborators include Akash V. Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, and Horia Galatanu. These partnerships indicate a multidisciplinary and cooperative research approach within the domain of engineering and AI-assisted technologies.
Vaithyanathan's research is primarily categorized within engineering, with a specialized subfield in industrial and manufacturing engineering. This specialization supports the investigation of advanced technologies contributing to the digital transformation of industrial processes.
The scientific contributions of Vaithyanathan are situated within emerging areas of AI application in enterprise environments, showcasing efforts to improve and evaluate AI systems continuously. The combination of engineering principles and industrial applications defines the scope and impact of their research endeavors.
Bo Pang;Lillian Lee;Shivakumar Vaithyanathan
Amol Ghoting;Rajasekar Krishnamurthy;Edwin Pednault;Berthold Reinwald
Unknown
Unknown
David Charles Martin;Hansel Joseph Miranda;Mark Paul Plutowski;William Scott Spangler
Yunyao Li;Rajasekar Krishnamurthy;Sriram Raghavan;Shivakumar Vaithyanathan
Dharmendra Shantilal Mohda;David Charles Martin;William Scott Spangler;Shivakumar Vaithyanathan
Laura Chiticariu;Rajasekar Krishnamurthy;Yunyao Li;Sriram Raghavan
Rajasekar Krishnamurthy;Yunyao Li;Sriram Raghavan;Frederick Reiss
Laura Chiticariu;Rajasekar Krishnamurthy;Yunyao Li;Frederick Reiss
Doug Burdick;Prasad M. Deshpande;T. S. Jayram;Raghu Ramakrishnan
Peter G. Anick;Shivakumar Vaithyanathan
F. Reiss;S. Raghavan;R. Krishnamurthy;Huaiyu Zhu
Philip Beineke;Trevor Hastie;Shivakumar Vaithyanathan
AnHai Doan;Raghu Ramakrishnan;Shivakumar Vaithyanathan
Matthias Boehm;Shirish Tatikonda;Berthold Reinwald;Prithviraj Sen
Eser Kandogan;Rajasekar Krishnamurthy;Sriram Raghavan;Shivakumar Vaithyanathan
Berthold Reinwald;Shivakumar Vaithyanathan;Vikas Sindhwani;Shirish Tatikonda
Shivakumar Vaithyanathan;Byron Dom
Philip Beineke;Trevor Hastie;Christopher Manning;Shivakumar Vaithyanathan
Ashutosh Garg;Jayram S. Thathachar;Shivakumar Vaithyanathan;Huaiyu Zhu
David C. Martin;Dharmendra Shantilal Modha;Shivakumar Vaithyanathan
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