Saravan Rajmohan

605 total citations
36 papers, 300 citations indexed

About

Saravan Rajmohan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Saravan Rajmohan has authored 36 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 18 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in Saravan Rajmohan's work include Software System Performance and Reliability (15 papers), Cloud Computing and Resource Management (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Saravan Rajmohan is often cited by papers focused on Software System Performance and Reliability (15 papers), Cloud Computing and Resource Management (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Saravan Rajmohan collaborates with scholars based in United States, China and United Kingdom. Saravan Rajmohan's co-authors include Qingwei Lin, Dongmei Zhang, Chetan Bansal, Yu Kang, Thomas Zimmermann, Xuchao Zhang, Toufique Ahmed, Minghua Ma, Shilin He and Bo Qiao and has published in prestigious journals such as ACM SIGOPS Operating Systems Review, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

In The Last Decade

Saravan Rajmohan

32 papers receiving 298 citations

Peers

Saravan Rajmohan
Jacopo Mauro Italy
Jingmin Xu China
Kivanc Ozonat United States
Nuha Alshuqayran United Kingdom
Narges Khakpour Sweden
Ahmed Fawzi Otoom Jordan
Alexander Acker Germany
Anton V. Uzunov Australia
Mauno Pihelgas Estonia
Stepan Shevtsov Sweden
Jacopo Mauro Italy
Saravan Rajmohan
Citations per year, relative to Saravan Rajmohan Saravan Rajmohan (= 1×) peers Jacopo Mauro

Countries citing papers authored by Saravan Rajmohan

Since Specialization
Citations

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

Fields of papers citing papers by Saravan Rajmohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravan Rajmohan

This figure shows the co-authorship network connecting the top 25 collaborators of Saravan Rajmohan. A scholar is included among the top collaborators of Saravan Rajmohan 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 Saravan Rajmohan. Saravan Rajmohan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Lu, Fangkai Yang, Cheng Huang, et al.. (2025). Token-level Proximal Policy Optimization for Query Generation. 31184–31198.
2.
Zhang, Jue, C. Bansal, Eli Cortez, et al.. (2025). Workload Intelligence: Workload-Aware IaaS abstraction for Cloud Efficiency. 2203–2215.
3.
4.
Zhang, Chaoyun, Minghua Ma, Si Qin, et al.. (2025). Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. 4623–4634. 5 indexed citations
5.
Wang, Lu, Yong Xu, Minghua Ma, et al.. (2024). Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. 1638–1662. 4 indexed citations
6.
Yang, Fangkai, Lu Wang, Jue Zhang, et al.. (2024). AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. 3875–3891. 4 indexed citations
7.
Zhang, Zhiyang, Fangkai Yang, Shujian Huang, et al.. (2024). EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. 3392–3411. 2 indexed citations
8.
Ma, Minghua, Chaoyun Zhang, Si Qin, et al.. (2024). MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. 38–49. 9 indexed citations
9.
Bansal, Chetan, et al.. (2024). Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. 266–277. 16 indexed citations
10.
Cui, Z.Y., Shilin He, Pinjia He, et al.. (2024). UniLog: Automatic Logging via LLM and In-Context Learning. 1–12. 27 indexed citations
11.
12.
Bansal, Chetan, et al.. (2024). X-Lifecycle Learning for Cloud Incident Management using LLMs. 417–428. 6 indexed citations
13.
14.
Zhang, Chaoyun, Lu Wang, Yong Xu, et al.. (2023). TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. 1762–1773. 11 indexed citations
15.
Wang, Lu, Fangkai Yang, Bo Qiao, et al.. (2023). Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. 2927–2936. 3 indexed citations
16.
Zhang, Shenglin, Minghua Ma, Yu Kang, et al.. (2023). Assess and Summarize: Improve Outage Understanding with Large Language Models. 1657–1668. 21 indexed citations
17.
Wang, Lu, Pu Zhao, Wei Zhang, et al.. (2023). Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. 3663–3673. 7 indexed citations
18.
Wang, Lu, Chaoyun Zhang, Yong Xu, et al.. (2023). Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. 5116–5125. 15 indexed citations
19.
He, Shilin, Liqun Li, Yu Kang, et al.. (2023). STEAM: Observability-Preserving Trace Sampling. 1750–1761. 6 indexed citations
20.
Yang, Fangkai, Lu Wang, Pu Zhao, et al.. (2023). Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. 2050–2055. 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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