Anil Kanduri

529 total citations
38 papers, 332 citations indexed

About

Anil Kanduri is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Anil Kanduri has authored 38 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 16 papers in Hardware and Architecture and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Anil Kanduri's work include Parallel Computing and Optimization Techniques (15 papers), Interconnection Networks and Systems (9 papers) and Distributed and Parallel Computing Systems (6 papers). Anil Kanduri is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Interconnection Networks and Systems (9 papers) and Distributed and Parallel Computing Systems (6 papers). Anil Kanduri collaborates with scholars based in Finland, United States and Austria. Anil Kanduri's co-authors include Pasi Liljeberg, Axel Jantsch, Mohammad-Hashem Haghbayan, Nikil Dutt, Hannu Tenhunen, Amir-Mohammad Rahmani, Amir M. Rahmani, Amir M. Rahmani, Juha Plosila and Antonio Miele and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Systems Architecture.

In The Last Decade

Anil Kanduri

35 papers receiving 329 citations

Peers

Anil Kanduri
Cheol-Hoon Lee South Korea
Tosiron Adegbija United States
Vladi Koliçi Albania
Dong-Wook Lee South Korea
Eric He United States
Kuan-Hsun Chen Germany
Pratyush Patel United States
Michael Chu United States
Umer Farooq Oman
Cheol-Hoon Lee South Korea
Anil Kanduri
Citations per year, relative to Anil Kanduri Anil Kanduri (= 1×) peers Cheol-Hoon Lee

Countries citing papers authored by Anil Kanduri

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kanduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Kanduri

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kanduri. A scholar is included among the top collaborators of Anil Kanduri 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 Anil Kanduri. Anil Kanduri 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.
Kanduri, Anil, Antonio Miele, Amir M. Rahmani, et al.. (2025). Exploiting Approximation for Run-time Resource Management of Embedded HMPs. ACM Transactions on Embedded Computing Systems. 24(3). 1–30.
2.
Kanduri, Anil, et al.. (2024). EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. 1–6. 2 indexed citations
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Kanduri, Anil, et al.. (2024). SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. 1–2. 11 indexed citations
6.
Kanduri, Anil, Aleksandr Ometov, Aaron Yi Ding, et al.. (2024). Adaptive approximate computing in edge AI and IoT applications: A review. Journal of Systems Architecture. 150. 103114–103114. 13 indexed citations
7.
Wang, Ziyu, Anil Kanduri, Sanaz Rahimi Moosavi, et al.. (2024). ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets. 1–4. 2 indexed citations
8.
Miele, Antonio, et al.. (2024). Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 300–307. 1 indexed citations
9.
Kanduri, Anil, et al.. (2022). Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. ACM Transactions on Embedded Computing Systems. 21(6). 1–25. 12 indexed citations
10.
Naeini, Emad Kasaeyan, et al.. (2022). AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 1455–1460. 6 indexed citations
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Miele, Antonio, Anil Kanduri, Amir M. Rahmani, et al.. (2019). On-chip dynamic resource management. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3 indexed citations
15.
Miele, Antonio, Anil Kanduri, Amir-Mohammad Rahmani, et al.. (2019). On-Chip Dynamic Resource Management. CERN Document Server (European Organization for Nuclear Research). 13(1-2). 1–144. 2 indexed citations
16.
Kanduri, Anil, Mohammad-Hashem Haghbayan, Amir M. Rahmani, et al.. (2018). adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning. IEEE Transactions on Computers. 67(8). 1062–1077. 26 indexed citations
17.
Kanduri, Anil, Antonio Miele, Amir M. Rahmani, et al.. (2018). Approximation-aware coordinated power/performance management for heterogeneous multi-cores. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 15 indexed citations
18.
Kanduri, Anil, et al.. (2018). Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation. 1–4. 5 indexed citations
19.
Haghbayan, Mohammad-Hashem, Anil Kanduri, Amir-Mohammad Rahmani, et al.. (2015). MapPro. 1–8. 27 indexed citations
20.
Kanduri, Anil, Mohammad-Hashem Haghbayan, Amir-Mohammad Rahmani, et al.. (2015). Dark silicon aware runtime mapping for many-core systems: A patterning approach. 573–580. 37 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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