Adam Wierman

10.2k total citations · 4 hit papers
258 papers, 6.2k citations indexed

About

Adam Wierman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Adam Wierman has authored 258 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Computer Networks and Communications, 98 papers in Electrical and Electronic Engineering and 79 papers in Management Science and Operations Research. Recurrent topics in Adam Wierman's work include Optimization and Search Problems (64 papers), Advanced Queuing Theory Analysis (48 papers) and Cloud Computing and Resource Management (44 papers). Adam Wierman is often cited by papers focused on Optimization and Search Problems (64 papers), Advanced Queuing Theory Analysis (48 papers) and Cloud Computing and Resource Management (44 papers). Adam Wierman collaborates with scholars based in United States, China and Hong Kong. Adam Wierman's co-authors include Minghong Lin, Lachlan L. H. Andrew, Steven H. Low, Zhenhua Liu, Mor Harchol‐Balter, Eno Thereska, Jason R. Marden, Zhenhua Liu, Niangjun Chen and Iris Liu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Management Science and Communications of the ACM.

In The Last Decade

Adam Wierman

237 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Greening geographical load balancing

2011 354 citations Adam Wierman et al. profile →
Dynamic Right-Sizing for Power-Proportional Data Centers

2012 334 citations Adam Wierman et al. profile →
Dynamic right-sizing for power-proportional data centers

2011 328 citations Adam Wierman et al. profile →
Renewable and cooling aware workload management for sustainable data centers

2012 308 citations Adam Wierman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Wierman United States	39	4.0k	2.9k	2.4k	898	827	258	6.2k
Hermann de Meer Germany	26	3.9k 1.0×	1.5k 0.5×	2.1k 0.9×	262 0.3×	593 0.7×	193	5.4k
Hans‐Arno Jacobsen Canada	38	4.0k 1.0×	2.7k 0.9×	1.2k 0.5×	164 0.2×	440 0.5×	334	6.2k
Michael J. Neely United States	43	9.5k 2.4×	1.1k 0.4×	8.4k 3.5×	402 0.4×	313 0.4×	171	11.6k
Mor Harchol‐Balter United States	43	5.8k 1.4×	2.9k 1.0×	1.8k 0.8×	342 0.4×	2.0k 2.4×	189	7.1k
Michael Devetsikiotis United States	27	2.5k 0.6×	2.6k 0.9×	1.7k 0.7×	257 0.3×	711 0.9×	185	5.4k
Gábor Karsai United States	34	1.4k 0.4×	1.4k 0.5×	679 0.3×	366 0.4×	313 0.4×	301	5.3k
Gregory Levitin Israel	52	1.3k 0.3×	1.1k 0.4×	889 0.4×	398 0.4×	731 0.9×	398	12.4k
Leandros Tassiulas United States	63	16.2k 4.1×	922 0.3×	11.4k 4.8×	360 0.4×	570 0.7×	531	19.3k
Marco Ajmone Marsan Italy	31	2.8k 0.7×	353 0.1×	2.5k 1.0×	249 0.3×	866 1.0×	215	5.3k
Chuang Lin China	42	5.1k 1.3×	1.7k 0.6×	2.4k 1.0×	102 0.1×	251 0.3×	364	6.5k

Countries citing papers authored by Adam Wierman

Since Specialization

Citations

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

Fields of papers citing papers by Adam Wierman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Wierman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sun, Bo, et al.. (2025). Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 9(1). 1–49.

2.

Bashir, Noman, et al.. (2025). Carbon- and Precedence-Aware Scheduling for Data Processing Clusters. 1241–1244.

3.

Zhang, Kaiqing, et al.. (2024). Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. 378–378. 1 indexed citations

4.

Hajiesmaili, Mohammad, et al.. (2024). SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. 613–644. 2 indexed citations

5.

Bashir, Noman, et al.. (2024). The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. ACM SIGMETRICS Performance Evaluation Review. 52(1). 47–48.

6.

Sun, Bo, et al.. (2024). Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. ACM SIGMETRICS Performance Evaluation Review. 52(1). 45–46.

7.

Sun, Bo, et al.. (2024). Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. 45–46. 5 indexed citations

8.

Yang, Jianyi, et al.. (2024). Towards Environmentally Equitable AI via Geographical Load Balancing. 291–307. 9 indexed citations

9.

Bashir, Noman, et al.. (2024). The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. 47–48. 1 indexed citations

10.

Mukherjee, Debankur, et al.. (2023). Smoothed Online Optimization with Unreliable Predictions. 71–72. 2 indexed citations

11.

Sun, Bo, Mohammad Hajiesmaili, Adam Wierman, et al.. (2023). The Online Knapsack Problem with Departures. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 59–60. 1 indexed citations

12.

Bashir, Noman, et al.. (2023). The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 7(3). 1–32. 8 indexed citations

13.

Yu, Jing, et al.. (2023). Online Adversarial Stabilization of Unknown Networked Systems. 73–74. 1 indexed citations

14.

Yu, Jing, et al.. (2023). Online Adversarial Stabilization of Unknown Networked Systems. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 7(1). 1–43. 6 indexed citations

15.

Qu, Guannan, et al.. (2020). Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CaltechAUTHORS (California Institute of Technology). 33. 2074–2086. 2 indexed citations

16.

Shi, Guanya, et al.. (2020). Online Optimization with Memory and Competitive Control. CaltechAUTHORS (California Institute of Technology). 33. 20636–20647. 2 indexed citations

17.

Goel, Gautam & Adam Wierman. (2019). An Online Algorithm for Smoothed Regression and LQR Control. CaltechAUTHORS (California Institute of Technology). 2504–2513. 21 indexed citations

18.

Fang, Zhixuan, Longbo Huang, & Adam Wierman. (2016). Prices and Subsidies in the Sharing Economy: Profit Versus Welfare. arXiv (Cornell University). 1 indexed citations

19.

Ananthanarayanan, Ganesh, et al.. (2014). GRASS: trimming stragglers in approximation analytics. Networked Systems Design and Implementation. 289–302. 96 indexed citations

20.

Wierman, Adam, et al.. (2006). The foreground-background queue : a survey. TU/e Research Portal (Eindhoven University of Technology). 2006026. 2 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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