Daniel S. Berger

1.8k total citations · 1 hit paper
55 papers, 1.0k citations indexed

About

Daniel S. Berger is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel S. Berger has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 14 papers in Information Systems and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel S. Berger's work include Advanced Data Storage Technologies (22 papers), Caching and Content Delivery (21 papers) and Cloud Computing and Resource Management (14 papers). Daniel S. Berger is often cited by papers focused on Advanced Data Storage Technologies (22 papers), Caching and Content Delivery (21 papers) and Cloud Computing and Resource Management (14 papers). Daniel S. Berger collaborates with scholars based in United States, Germany and United Kingdom. Daniel S. Berger's co-authors include Mor Harchol‐Balter, Florin Ciucu, Ramesh K. Sitaraman, Sahil Singla, Nathan Beckmann, Ricardo Bianchini, Jens Schmitt, Wyatt Lloyd, R. E. Davies and P. Donald Forbes and has published in prestigious journals such as Journal of Investigative Dermatology, ACM Transactions on Graphics and ACM Computing Surveys.

In The Last Decade

Daniel S. Berger

50 papers receiving 1.0k 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.

Pond: CXL-Based Memory Pooling Systems for Cloud Platforms

2023 140 citations Huaicheng Li, Daniel S. Berger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Berger United States	21	795	283	208	182	92	55	1.0k
Matthew Halpern United States	10	210 0.3×	77 0.3×	111 0.5×	218 1.2×	30 0.3×	13	479
Prasenjit Sarkar United States	18	604 0.8×	290 1.0×	161 0.8×	46 0.3×	54 0.6×	48	987
Mengying Zhao China	18	524 0.7×	84 0.3×	436 2.1×	519 2.9×	58 0.6×	80	980
Kuo‐Chan Huang Taiwan	12	294 0.4×	267 0.9×	69 0.3×	81 0.4×	37 0.4×	53	450
Chentao Wu China	14	541 0.7×	176 0.6×	95 0.5×	43 0.2×	122 1.3×	94	658
Chia-Wei Hsu Taiwan	8	436 0.5×	216 0.8×	32 0.2×	193 1.1×	157 1.7×	20	707
Qijing Huang United States	15	185 0.2×	44 0.2×	351 1.7×	209 1.1×	122 1.3×	31	676
Lewis Mackenzie United Kingdom	17	857 1.1×	65 0.2×	171 0.8×	455 2.5×	42 0.5×	123	1.0k
Tianzhou Chen China	9	316 0.4×	135 0.5×	280 1.3×	139 0.8×	58 0.6×	155	526

Countries citing papers authored by Daniel S. Berger

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Berger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Berger. 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 Daniel S. Berger. The network helps show where Daniel S. Berger may publish in the future.

Co-authorship network of co-authors of Daniel S. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Berger. A scholar is included among the top collaborators of Daniel S. Berger 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 Daniel S. Berger. Daniel S. Berger 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.

McAllister, Sara, et al.. (2025). FairyWREN: A Sustainable Cache for Emerging Write-Read-Erase Flash Interfaces. ACM Transactions on Storage. 21(4). 1–34. 1 indexed citations

2.

Berger, Daniel S., et al.. (2025). Oasis: Pooling PCIe Devices Over CXL to Boost Utilization. 101–119.

3.

Berger, Daniel S., et al.. (2025). Systematic CXL Memory Characterization and Performance Analysis at Scale. VTechWorks (Virginia Tech). 1203–1217. 4 indexed citations

4.

Gentile, Antonio A., et al.. (2025). Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics. Advanced Quantum Technologies. 9(2).

5.

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.

6.

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

7.

Li, Huaicheng, Daniel S. Berger, Stanko Novaković, et al.. (2023). Pond: CXL-Based Memory Pooling Systems for Cloud Platforms. 574–587. 140 indexed citations breakdown →

8.

Berger, Daniel S., et al.. (2023). Design Tradeoffs in CXL-Based Memory Pools for Public Cloud Platforms. IEEE Micro. 43(2). 30–38. 28 indexed citations

9.

McAllister, Sara, et al.. (2022). Kangaroo: Theory and Practice of Caching Billions of Tiny Objects on Flash. ACM Transactions on Storage. 18(3). 1–33. 3 indexed citations

10.

Pellerin, John, Yusheng Bian, Ken Giewont, et al.. (2022). Optical performance and reliability assessment from self-aligned single mode fiber attach for O-band silicon photonics platform. 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC). 403–409. 2 indexed citations

11.

Crankshaw, Daniel, et al.. (2022). SOL: safe on-node learning in cloud platforms. 622–634. 10 indexed citations

12.

Berger, Daniel S., et al.. (2020). Learning Relaxed Belady for Content Distribution Network Caching. Networked Systems Design and Implementation. 529–544. 33 indexed citations

13.

Berger, Daniel S., et al.. (2020). The CacheLib Caching Engine: Design and Experiences at Scale. Operating Systems Design and Implementation. 753–768. 28 indexed citations

14.

Chabrillat, Sabine, Thomas Ruhtz, Eyal Ben‐Dor, et al.. (2020). EnMAP airborne soil Greece campaign 2019. 3 indexed citations

15.

Berger, Daniel S., et al.. (2018). RobinHood: tail latency-aware caching—dynamically reallocating from cache-rich to cache-poor. Operating Systems Design and Implementation. 195–212. 20 indexed citations

16.

Berger, Daniel S.. (2018). Towards Lightweight and Robust Machine Learning for CDN Caching. 134–140. 43 indexed citations

17.

Berger, Daniel S., Ramesh K. Sitaraman, & Mor Harchol‐Balter. (2017). Adaptsize: orchestrating the hot object memory cache in a content delivery network. Networked Systems Design and Implementation. 483–498. 86 indexed citations

18.

Zhu, Timothy, Daniel S. Berger, & Mor Harchol‐Balter. (2016). SNC-Meister. 374–387. 30 indexed citations

19.

Berger, Daniel S., Martin Karsten, & Jens Schmitt. (2014). On the relevance of adversarial queueing theory in practice. 343–354. 3 indexed citations

20.

Ray, Sumit Kumar, et al.. (2002). Dual-Level Metal (DLM) method for fabricating thin film wiring structures. 538–543. 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.

Explore authors with similar magnitude of impact