Fiodar Kazhamiaka

602 total citations
25 papers, 275 citations indexed

About

Fiodar Kazhamiaka is a scholar working on Electrical and Electronic Engineering, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Fiodar Kazhamiaka has authored 25 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 9 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Fiodar Kazhamiaka's work include Smart Grid Energy Management (9 papers), Cloud Computing and Resource Management (9 papers) and Microgrid Control and Optimization (5 papers). Fiodar Kazhamiaka is often cited by papers focused on Smart Grid Energy Management (9 papers), Cloud Computing and Resource Management (9 papers) and Microgrid Control and Optimization (5 papers). Fiodar Kazhamiaka collaborates with scholars based in Canada, United States and United Kingdom. Fiodar Kazhamiaka's co-authors include Srinivasan Keshav, Catherine Rosenberg, Yashar Ghiassi-Farrokhfal, Matei Zaharia, Deepak Narayanan, Keshav Santhanam, Karl‐Heinz Pettinger, Amar Phanishayee, Patrick Jochem and Srikanth Kandula and has published in prestigious journals such as Energy Policy, ACM Transactions on Graphics and IEEE Transactions on Energy Conversion.

In The Last Decade

Fiodar Kazhamiaka

22 papers receiving 268 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fiodar Kazhamiaka Canada 10 170 82 72 61 46 25 275
Vincenzo Croce Italy 9 161 0.9× 57 0.7× 86 1.2× 125 2.0× 24 0.5× 23 268
Qiwei Zhang United States 11 251 1.5× 53 0.6× 162 2.3× 16 0.3× 32 0.7× 30 337
Bjarne Poulsen Denmark 10 349 2.1× 61 0.7× 216 3.0× 38 0.6× 103 2.2× 28 410
Buxiang Zhou China 9 160 0.9× 30 0.4× 81 1.1× 39 0.6× 44 1.0× 49 259
Dieter Gantenbein Switzerland 8 263 1.5× 71 0.9× 148 2.1× 37 0.6× 95 2.1× 16 330
Kumarsinh Jhala United States 12 284 1.7× 27 0.3× 166 2.3× 21 0.3× 55 1.2× 26 363
N. Shaukat Pakistan 3 317 1.9× 39 0.5× 146 2.0× 25 0.4× 164 3.6× 8 382
Astrid Nieße Germany 7 132 0.8× 54 0.7× 100 1.4× 28 0.5× 13 0.3× 45 230
Minhui Qian China 11 378 2.2× 74 0.9× 272 3.8× 58 1.0× 24 0.5× 54 460

Countries citing papers authored by Fiodar Kazhamiaka

Since Specialization
Citations

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

Fields of papers citing papers by Fiodar Kazhamiaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiodar Kazhamiaka

This figure shows the co-authorship network connecting the top 25 collaborators of Fiodar Kazhamiaka. A scholar is included among the top collaborators of Fiodar Kazhamiaka 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 Fiodar Kazhamiaka. Fiodar Kazhamiaka 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.
Berger, Daniel S., Fiodar Kazhamiaka, Chaojie Zhang, et al.. (2025). Enabling Sustainable Cloud Computing With Low-Carbon Server Design. IEEE Micro. 45(4). 19–28.
2.
Berger, Daniel S., Fiodar Kazhamiaka, Chaojie Zhang, et al.. (2024). Designing Cloud Servers for Lower Carbon. 452–470. 13 indexed citations
3.
Bianchini, Ricardo, Rodrigo Fonseca, Alvin R. Lebeck, et al.. (2024). Dense Server Design for Immersion Cooling. ACM Transactions on Graphics. 43(6). 1–20.
4.
Frost, Kali, Esha Choukse, Rodrigo Fonseca, et al.. (2023). Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms. 1–7. 12 indexed citations
5.
Acun, Bilge, Benjamin Lee, Fiodar Kazhamiaka, et al.. (2023). Carbon Dependencies in Datacenter Design and Management. 3(3). 21–26. 5 indexed citations
6.
Agrawal, Akshay, Stephen Boyd, Deepak Narayanan, Fiodar Kazhamiaka, & Matei Zaharia. (2022). Allocation of fungible resources via a fast, scalable price discovery method. Mathematical Programming Computation. 14(3). 593–622.
7.
Kazhamiaka, Fiodar, et al.. (2022). Beobench. 374–382. 3 indexed citations
8.
Kazhamiaka, Fiodar, et al.. (2021). Sizing Solar Panels and Storage for Multiple Roofs. 84–94. 4 indexed citations
9.
Narayanan, Deepak, Fiodar Kazhamiaka, Firas Abuzaid, et al.. (2021). Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. 521–537. 32 indexed citations
10.
Narayanan, Deepak, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, & Matei Zaharia. (2020). Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. Operating Systems Design and Implementation. 481–498. 25 indexed citations
11.
Narayanan, Deepak, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, & Matei Zaharia. (2020). Analysis and Exploitation of Dynamic Pricing in the Public Cloud for ML Training. 5 indexed citations
12.
Kazhamiaka, Fiodar, Yashar Ghiassi-Farrokhfal, Srinivasan Keshav, & Catherine Rosenberg. (2019). Comparison of Different Approaches for Solar PV and Storage Sizing. IEEE Transactions on Sustainable Computing. 7(3). 499–511. 10 indexed citations
13.
Kazhamiaka, Fiodar, Srinivasan Keshav, & Catherine Rosenberg. (2019). Adaptive Battery Control with Neural Networks. 536–543. 8 indexed citations
14.
Sun, Sun, Fiodar Kazhamiaka, Srinivasan Keshav, & Catherine Rosenberg. (2019). Using Synthetic Traces for Robust Energy System Sizing. NPARC. 251–262. 3 indexed citations
15.
Kazhamiaka, Fiodar, Catherine Rosenberg, & Srinivasan Keshav. (2019). Tractable lithium-ion storage models for optimizing energy systems. Energy Informatics. 2(1). 8 indexed citations
16.
Kazhamiaka, Fiodar, Yashar Ghiassi-Farrokhfal, Srinivasan Keshav, & Catherine Rosenberg. (2018). Robust and Practical Approaches for Solar PV and Storage Sizing. EUR Research Repository (Erasmus University Rotterdam). 146–156. 10 indexed citations
17.
Kazhamiaka, Fiodar, Patrick Jochem, Srinivasan Keshav, & Catherine Rosenberg. (2017). On the influence of jurisdiction on the profitability of residential photovoltaic-storage systems: A multi-national case study. Energy Policy. 109. 428–440. 18 indexed citations
18.
Niedermeier, Florian, Fiodar Kazhamiaka, & Hermann de Meer. (2016). Energy supply aware power planning for flexible loads. 7. 1–6. 2 indexed citations
19.
Kazhamiaka, Fiodar, Catherine Rosenberg, Srinivasan Keshav, & Karl‐Heinz Pettinger. (2016). Li-ion storage models for energy system optimization. 1–12. 14 indexed citations
20.
Kazhamiaka, Fiodar, Catherine Rosenberg, & Srinivasan Keshav. (2016). Practical Strategies for Storage Operation in Energy Systems: Design and Evaluation. IEEE Transactions on Sustainable Energy. 7(4). 1602–1610. 22 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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