Chetan Bansal

968 total citations
52 papers, 439 citations indexed

About

Chetan Bansal is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Chetan Bansal has authored 52 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 30 papers in Computer Networks and Communications and 21 papers in Artificial Intelligence. Recurrent topics in Chetan Bansal's work include Software System Performance and Reliability (20 papers), Software Engineering Research (13 papers) and Cloud Computing and Resource Management (13 papers). Chetan Bansal is often cited by papers focused on Software System Performance and Reliability (20 papers), Software Engineering Research (13 papers) and Cloud Computing and Resource Management (13 papers). Chetan Bansal collaborates with scholars based in United States, India and United Kingdom. Chetan Bansal's co-authors include Nachiappan Nagappan, Chandra Maddila, Saravan Rajmohan, Sergio Maffeis, Antoine Delignat-Lavaud, Karthikeyan Bhargavan, Thomas Zimmermann, Song Wang, Xuchao Zhang and Toufique Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information and Software Technology and IEEE Micro.

In The Last Decade

Chetan Bansal

44 papers receiving 431 citations

Peers

Chetan Bansal

IS

CNC

AI

SOFTW

CSA

Francis Palma Canada

Elder Cirilo Brazil

Suhaib Mujahid Canada

J. Andrés Díaz‐Pace Argentina

Marcos Didonet Del Fabro Brazil

DongGyun Han United Kingdom

Carlos Castro-Herrera United States

Jeff Tian United States

Jan Waller Germany

Tom Chao Zhou Hong Kong

Francis Palma Canada

Chetan Bansal

304 ×1.1

IS

100 ×0.6

CNC

111 ×0.8

AI

96 ×1.3

SOFTW

35 ×0.7

CSA

Citations per year, relative to Chetan Bansal Chetan Bansal (= 1×) peers Francis Palma

Countries citing papers authored by Chetan Bansal

Since Specialization

Citations

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

Fields of papers citing papers by Chetan Bansal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chetan Bansal

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

1.

Yan, Haoran, Minghua Ma, Ming Wen, et al.. (2025). An Empirical Study of Production Incidents in Generative AI Cloud Services. 359–370.

2.

Jain, Kunal, Yogesh Simmhan, Rujia Wang, et al.. (2025). SAGESERVE: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 9(3). 1–24.

3.

Jain, Kunal, Esha Choukse, Jue Zhang, et al.. (2025). Performance Aware LLM Load Balancer for Mixed Workloads. 19–30. 1 indexed citations

4.

Ma, Minghua, Chaoyun Zhang, Si Qin, et al.. (2024). MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. 38–49. 9 indexed citations

5.

Bansal, Chetan, et al.. (2024). Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. 266–277. 16 indexed citations

6.

Berger, Daniel S., Fiodar Kazhamiaka, Chaojie Zhang, et al.. (2024). Designing Cloud Servers for Lower Carbon. 452–470. 13 indexed citations

7.

Goiri, Íñigo, Esha Choukse, Mayukh Das, et al.. (2024). SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. 437–451. 3 indexed citations

8.

Ma, Minghua, et al.. (2024). Building AI Agents for Autonomous Clouds: Challenges and Design Principles. 99–110. 5 indexed citations

9.

Pei, Changhua, Xin Wang, Minghua Ma, et al.. (2024). Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. 6190–6201. 4 indexed citations

10.

Wang, Lu, Fangkai Yang, Bo Qiao, et al.. (2024). COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. 4939–4947.

11.

Bansal, Chetan, et al.. (2024). X-Lifecycle Learning for Cloud Incident Management using LLMs. 417–428. 6 indexed citations

12.

Zhang, Xuchao, et al.. (2024). LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. 388–398. 3 indexed citations

13.

Bansal, Chetan, et al.. (2024). Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. 381–391. 3 indexed citations

14.

Bansal, Chetan, et al.. (2024). Exploring LLM-Based Agents for Root Cause Analysis. 208–219. 20 indexed citations

15.

Li, Jianhui, Minghua Ma, Yu Kang, et al.. (2024). Large Language Models Can Provide Accurate and Interpretable Incident Triage. 523–534. 1 indexed citations

16.

Ma, Minghua, Shuo Li, Murali Chintalapati, et al.. (2024). Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. 499–510. 1 indexed citations

17.

Ahmed, Toufique, et al.. (2023). Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. 1737–1749. 52 indexed citations

18.

Bhagwan, Ranjita, et al.. (2020). Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. Networked Systems Design and Implementation. 435–448. 15 indexed citations

19.

Bansal, Chetan, Thomas Zimmermann, Ahmed Hassan Awadallah, & Nachiappan Nagappan. (2019). The Usage of Web Search for Software Engineering.. arXiv (Cornell University). 3 indexed citations

20.

Bansal, Chetan, et al.. (2012). Intelligent Web Based Task Completion Using Pattern Recognition Techniques. International Journal of Machine Learning and Computing. 835–838. 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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