David Kaeli

7.5k total citations · 1 hit paper
299 papers, 4.8k citations indexed

About

David Kaeli is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, David Kaeli has authored 299 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Computer Networks and Communications, 163 papers in Hardware and Architecture and 70 papers in Electrical and Electronic Engineering. Recurrent topics in David Kaeli's work include Parallel Computing and Optimization Techniques (143 papers), Advanced Data Storage Technologies (82 papers) and Distributed and Parallel Computing Systems (41 papers). David Kaeli is often cited by papers focused on Parallel Computing and Optimization Techniques (143 papers), Advanced Data Storage Technologies (82 papers) and Distributed and Parallel Computing Systems (41 papers). David Kaeli collaborates with scholars based in United States, Mexico and Spain. David Kaeli's co-authors include Dana Schaa, Vilas Sridharan, Perhaad Mistry, Byunghyun Jang, Rafael Ubal, Yunsi Fei, Mehdi B. Tahoori, Philip Emma, Hossein Asadi and Qianqian Fang and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

David Kaeli

282 papers receiving 4.6k citations

Hit Papers

Multi2Sim 2012 2026 2016 2021 2012 100 200 300
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.

  1. Multi2Sim
    2012 334 citations Rafael Ubal, David Kaeli et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kaeli United States 34 2.6k 2.3k 1.5k 1.0k 712 299 4.8k
Sparsh Mittal India 34 1.9k 0.7× 1.7k 0.7× 2.4k 1.5× 765 0.7× 424 0.6× 145 4.8k
Greg Hamerly United States 20 2.3k 0.9× 1.9k 0.8× 948 0.6× 774 0.7× 653 0.9× 35 3.6k
Anthony Skjellum United States 25 1.6k 0.6× 2.2k 1.0× 390 0.3× 650 0.6× 997 1.4× 165 3.9k
Rajeev Thakur United States 34 2.9k 1.1× 4.1k 1.8× 363 0.2× 457 0.4× 794 1.1× 167 5.0k
Manish Parashar United States 39 1000 0.4× 4.9k 2.1× 384 0.3× 917 0.9× 2.7k 3.8× 391 6.2k
David B. Kirk United States 19 987 0.4× 902 0.4× 286 0.2× 433 0.4× 199 0.3× 44 3.0k
Gagan Agrawal United States 38 1.2k 0.5× 2.3k 1.0× 251 0.2× 930 0.9× 1.7k 2.3× 309 4.6k
Hao Yu Singapore 31 680 0.3× 683 0.3× 2.3k 1.5× 511 0.5× 124 0.2× 251 4.1k
Joseph F. JáJá United States 22 683 0.3× 1.1k 0.5× 318 0.2× 759 0.7× 107 0.2× 161 2.8k
Anthony T. Chronopoulos United States 26 276 0.1× 1.2k 0.5× 503 0.3× 640 0.6× 710 1.0× 144 2.6k

Countries citing papers authored by David Kaeli

Since Specialization
Citations

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

Fields of papers citing papers by David Kaeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kaeli

This figure shows the co-authorship network connecting the top 25 collaborators of David Kaeli. A scholar is included among the top collaborators of David Kaeli 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 David Kaeli. David Kaeli 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.
Abellán, José Luis, et al.. (2024). Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 8(1). 1–28. 9 indexed citations
2.
Abellán, José Luis, et al.. (2024). Scalability Limitations of Processing-in-Memory using Real System Evaluations. 63–64. 2 indexed citations
3.
Abellán, José Luis, et al.. (2024). Scalability Limitations of Processing-in-Memory using Real System Evaluations. ACM SIGMETRICS Performance Evaluation Review. 52(1). 63–64. 2 indexed citations
4.
Joshi, Ajay, et al.. (2023). Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro. 43(5). 55–63. 4 indexed citations
5.
Rhu, Minsoo, et al.. (2021). Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery. 332–344. 10 indexed citations
6.
Dong, Shi, Yifan Sun, Jing Zhou, et al.. (2021). Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Transactions on Parallel and Distributed Systems. 32(10). 2448–2463. 6 indexed citations
7.
Sun, Yifan, José Luis Abellán, Ajay Joshi, et al.. (2020). Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 596–609. 31 indexed citations
8.
Gong, Xiang, Zhongliang Chen, Amir Kavyan Ziabari, Rafael Ubal, & David Kaeli. (2017). TwinKernels: an execution model to improve GPU hardware scheduling at compile time. 39–49. 8 indexed citations
9.
Tavana, Mohammad Khavari & David Kaeli. (2017). Cost-effective write disturbance mitigation techniques for advancing PCM density. International Conference on Computer Aided Design. 253–260. 7 indexed citations
10.
Gutiérrez, Julián, et al.. (2016). A fast level-set segmentation algorithm for image processing designed for parallel architectures. 66–69. 2 indexed citations
11.
Kaeli, David, et al.. (2016). A Framework for Studying New Approaches to Anomaly Detection. DergiPark (Istanbul University). 5(2). 39–50. 2 indexed citations
12.
Dy, Jennifer, et al.. (2012). Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. Asian Conference on Machine Learning. 49–64. 4 indexed citations
13.
Kaeli, David & Pen-Chung Yew. (2005). Speculative Execution In High Performance Computer Architectures (Chapman & Hall/Crc Computer & Information Science Series). CRC Press, Inc. eBooks. 9 indexed citations
14.
Kaeli, David, et al.. (2003). Dynamic Input Buffer Allocation (DIBA) for Fault Tolerant Ethernet Packet Switching.. Parallel and Distributed Processing Techniques and Applications. 819–823. 3 indexed citations
15.
González, Antonio, et al.. (2002). Exploiting pseudo-schedules to guide data dependence graph partitioning. International Conference on Parallel Architectures and Compilation Techniques. 281–290. 18 indexed citations
16.
Kaeli, David, et al.. (2002). Localized Message Passing Structure for High Speed Ethernet Packet Switching. Parallel and Distributed Processing Techniques and Applications. 1551–1557.
17.
Kaeli, David, et al.. (2001). Runtime predictability of loops. 91–98. 19 indexed citations
18.
Kalamatianos, John & David Kaeli. (1998). Predicting indirect branches via data compression. International Symposium on Microarchitecture. 272–281. 30 indexed citations
19.
Kaeli, David, et al.. (1996). Real-Time Trace Generation.. 6. 53. 3 indexed citations
20.
Kaeli, David. (1989). PC Workload Characterization.. 220. 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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