Michaela Blott

1.6k total citations
44 papers, 917 citations indexed

About

Michaela Blott is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Michaela Blott has authored 44 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 20 papers in Computer Networks and Communications and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Michaela Blott's work include Advanced Neural Network Applications (13 papers), Parallel Computing and Optimization Techniques (13 papers) and CCD and CMOS Imaging Sensors (10 papers). Michaela Blott is often cited by papers focused on Advanced Neural Network Applications (13 papers), Parallel Computing and Optimization Techniques (13 papers) and CCD and CMOS Imaging Sensors (10 papers). Michaela Blott collaborates with scholars based in United States, Switzerland and United Kingdom. Michaela Blott's co-authors include Kees Vissers, Giulio Gambardella, Nicholas J. Fraser, Kenneth M. O'Brien, Yaman Umuroglu, Miriam Leeser, Thomas B. Preußer, Zsolt István, Gustavo Alonso and Kimon Karras and has published in prestigious journals such as Journal of Lightwave Technology, IEEE Transactions on Computers and IEEE Network.

In The Last Decade

Michaela Blott

40 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Blott United States 15 365 328 318 266 255 44 917
Cody Hao Yu United States 15 326 0.9× 422 1.3× 492 1.5× 379 1.4× 364 1.4× 29 1.2k
Scott Beamer United States 11 338 0.9× 414 1.3× 290 0.9× 372 1.4× 259 1.0× 23 960
Kyle Rupnow United States 19 442 1.2× 344 1.0× 604 1.9× 297 1.1× 188 0.7× 51 1.0k
Tong Geng United States 18 213 0.6× 339 1.0× 289 0.9× 368 1.4× 398 1.6× 70 951
Izzat El Hajj United States 16 296 0.8× 580 1.8× 440 1.4× 125 0.5× 198 0.8× 59 1000
Kalin Ovtcharov Canada 10 420 1.2× 406 1.2× 481 1.5× 367 1.4× 270 1.1× 14 1.1k
Weiwen Jiang United States 19 352 1.0× 567 1.7× 389 1.2× 435 1.6× 496 1.9× 115 1.3k
Youngsok Kim South Korea 14 284 0.8× 256 0.8× 301 0.9× 188 0.7× 208 0.8× 41 695
Antonino Tumeo United States 17 591 1.6× 217 0.7× 654 2.1× 214 0.8× 256 1.0× 127 1.2k

Countries citing papers authored by Michaela Blott

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Blott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Blott

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Blott. A scholar is included among the top collaborators of Michaela Blott 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 Michaela Blott. Michaela Blott 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.
Que, Zhiqiang, Hongxiang Fan, He Li, et al.. (2024). LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. ACM Transactions on Embedded Computing Systems. 23(2). 1–28. 15 indexed citations
2.
Pappalardo, Alessandro, et al.. (2024). Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. Zenodo (CERN European Organization for Nuclear Research). 297–303. 3 indexed citations
3.
Nurmi, Jari, et al.. (2024). High-efficiency Compressor Trees for Latest AMD FPGAs. ACM Transactions on Reconfigurable Technology and Systems. 17(2). 1–32. 1 indexed citations
4.
Orosa, Lois, Skanda Koppula, Konstantinos Kanellopoulos, et al.. (2023). EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators. IEEE Transactions on Computers. 73(9). 2275–2289.
5.
Pappalardo, Alessandro, et al.. (2022). RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. IEEE Micro. 42(6). 125–133. 8 indexed citations
6.
Gambardella, Giulio, et al.. (2022). Fault-Tolerant Neural Network Accelerators With Selective TMR. IEEE Design and Test. 40(2). 67–74. 10 indexed citations
7.
Gambardella, Giulio, et al.. (2022). Accelerated Radiation Test on Quantized Neural Networks trained with Fault Aware Training. 2022 IEEE Aerospace Conference (AERO). 1–7. 5 indexed citations
8.
Gregg, David, et al.. (2022). On the RTL Implementation of FINN Matrix Vector Unit. ACM Transactions on Embedded Computing Systems. 22(6). 1–27. 5 indexed citations
9.
He, Zhenhao, et al.. (2021). ACCL: FPGA-Accelerated Collectives over 100 Gbps TCP-IP. 33–43. 11 indexed citations
10.
Zhang, Tianyu, Lu Tian, Yi Li, et al.. (2020). LPAC: A Low-Precision Accelerator for CNN on FPGAs. 316–316. 2 indexed citations
11.
Denolf, Kristof, Michaela Blott, Jack Lo, et al.. (2020). Benchmarking vision kernels and neural network inference accelerators on embedded platforms. Journal of Systems Architecture. 113. 101896–101896. 30 indexed citations
12.
Blott, Michaela, Thomas B. Preußer, Nicholas J. Fraser, et al.. (2018). FINN- R. ACM Transactions on Reconfigurable Technology and Systems. 11(3). 1–23. 242 indexed citations
13.
Blott, Michaela, Nicholas J. Fraser, Giulio Gambardella, et al.. (2017). Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. abs 1602 2830. 419–422. 5 indexed citations
14.
Blott, Michaela. (2016). Reconfigurable future for HPC. 2. 130–131. 3 indexed citations
15.
Sidler, David, et al.. (2015). Scalable 10Gbps TCP/IP Stack Architecture for Reconfigurable Hardware. 36–43. 54 indexed citations
16.
Blott, Michaela, Ling Liu, Kimon Karras, & Kees Vissers. (2015). Scaling out to a single-node 80Gbps memcached server with 40terabytes of memory. 8–8. 16 indexed citations
17.
István, Zsolt, Gustavo Alonso, Michaela Blott, & Kees Vissers. (2015). A Hash Table for Line-Rate Data Processing. ACM Transactions on Reconfigurable Technology and Systems. 8(2). 1–15. 19 indexed citations
18.
Blott, Michaela, et al.. (2013). Achieving 10Gbps Line-rate Key-value Stores with FPGAs. TUbilio (Technical University of Darmstadt). 64 indexed citations
19.
Blott, Michaela & Kees Vissers. (2013). Dataflow architectures for 10Gbps line-rate key-value-stores. 40. 1–25. 11 indexed citations
20.
Lockwood, John W., et al.. (2012). A Low-Latency Library in FPGA Hardware for High-Frequency Trading (HFT). 9–16. 52 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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