Thomas Parnell

1.6k total citations · 1 hit paper
33 papers, 1.1k citations indexed

About

Thomas Parnell is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Thomas Parnell has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Thomas Parnell's work include Advanced Data Storage Technologies (12 papers), Cellular Automata and Applications (8 papers) and Error Correcting Code Techniques (7 papers). Thomas Parnell is often cited by papers focused on Advanced Data Storage Technologies (12 papers), Cellular Automata and Applications (8 papers) and Error Correcting Code Techniques (7 papers). Thomas Parnell collaborates with scholars based in Switzerland, United States and United Kingdom. Thomas Parnell's co-authors include Evangelos Eleftheriou, Abu Sebastian, Manuel Le Gallo, Tomáš Tůma, Nikolaos Papandreou, S. R. Nandakumar, Bipin Rajendran, Irem Boybat, Timoleon Moraitis and Yusuf Leblebici and has published in prestigious journals such as Nature Communications, Journal of Applied Physics and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Thomas Parnell

32 papers receiving 1.1k citations

Hit Papers

Neuromorphic computing with multi-memristive synapses 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Parnell Switzerland 11 843 283 255 228 169 33 1.1k
Cristian Zambelli Italy 23 1.3k 1.6× 232 0.8× 162 0.6× 416 1.8× 159 0.9× 120 1.6k
Kyungmin Kim South Korea 14 670 0.8× 276 1.0× 97 0.4× 124 0.5× 79 0.5× 48 897
Nikolaos Papandreou Switzerland 20 1.3k 1.5× 111 0.4× 275 1.1× 482 2.1× 590 3.5× 66 1.6k
Robinson E. Pino United States 19 1.2k 1.5× 628 2.2× 124 0.5× 58 0.3× 98 0.6× 44 1.4k
René Schüffny Germany 18 927 1.1× 322 1.1× 118 0.5× 103 0.5× 55 0.3× 93 1.0k
Cheng-Xin Xue Taiwan 14 1.5k 1.8× 271 1.0× 284 1.1× 89 0.4× 75 0.4× 28 1.6k
Rohit S. Shenoy United States 15 2.2k 2.6× 500 1.8× 281 1.1× 156 0.7× 628 3.7× 31 2.4k
Greg Snider United States 14 989 1.2× 326 1.2× 178 0.7× 122 0.5× 46 0.3× 26 1.2k
Aida Todri‐Sanial France 18 824 1.0× 48 0.2× 304 1.2× 135 0.6× 176 1.0× 130 1.2k
Yu-Der Chih Taiwan 31 2.2k 2.6× 242 0.9× 304 1.2× 196 0.9× 111 0.7× 80 2.4k

Countries citing papers authored by Thomas Parnell

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Parnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Parnell

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Parnell. A scholar is included among the top collaborators of Thomas Parnell 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 Thomas Parnell. Thomas Parnell 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.
Anghel, Andreea, et al.. (2023). xCloudServing: Automated ML Serving Across Clouds. 1–12.
2.
Parnell, Thomas, et al.. (2022). Search-based Methods for Multi-Cloud Configuration. 438–448. 7 indexed citations
3.
Guerraoui, Rachid, et al.. (2021). Differentially Private Stochastic Coordinate Descent. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 7176–7184. 2 indexed citations
4.
Ioannou, Nikolas, et al.. (2019). SySCD: A System-Aware Parallel Coordinate Descent Algorithm. arXiv (Cornell University). 32. 590–600. 2 indexed citations
5.
Papandreou, Nikolaos, Haralampos Pozidis, Thomas Parnell, et al.. (2019). Characterization and Analysis of Bit Errors in 3D TLC NAND Flash Memory. 1–6. 30 indexed citations
6.
Boybat, Irem, Manuel Le Gallo, S. R. Nandakumar, et al.. (2018). Neuromorphic computing with multi-memristive synapses. Nature Communications. 9(1). 2514–2514. 637 indexed citations breakdown →
7.
Pletka, Roman, Nikolas Ioannou, Nikolaos Papandreou, Thomas Parnell, & Saša Tomić. (2018). Enabling 3D-TLC NAND Flash in Enterprise Storage Systems.. ERCIM news/ERCIM news online edition. 2018. 1 indexed citations
8.
Vlachos, Michail, et al.. (2018). Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering. 31(7). 1253–1266. 23 indexed citations
9.
Stanisavljević, Miloš, Thomas Mittelholzer, Nikolaos Papandreou, Thomas Parnell, & Haralampos Pozidis. (2018). Drift-Invariant Detection for Multilevel Phase-Change Memory. 7 indexed citations
10.
Parnell, Thomas, et al.. (2017). Understanding and optimizing the performance of distributed machine learning applications on apache spark. arXiv (Cornell University). 331–338. 5 indexed citations
11.
Sebastian, Abu, Tomáš Tůma, Nikolaos Papandreou, et al.. (2017). Temporal correlation detection using computational phase-change memory. Nature Communications. 8(1). 1115–1115. 178 indexed citations
12.
Parnell, Thomas, et al.. (2017). Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems. arXiv (Cornell University). 30. 4258–4267. 1 indexed citations
13.
Parnell, Thomas, et al.. (2016). High-Performance Distributed Machine Learning using Apache SPARK.. arXiv (Cornell University). 1 indexed citations
14.
Mittelholzer, Thomas, Thomas Parnell, Nikolaos Papandreou, & Haralampos Pozidis. (2016). Improving the error-floor performance of binary half-product codes. International Symposium on Information Theory and its Applications. 295–299. 5 indexed citations
15.
Parnell, Thomas, et al.. (2016). Capacity of the MLC NAND Flash Channel. IEEE Journal on Selected Areas in Communications. 34(9). 2354–2365. 4 indexed citations
16.
Parnell, Thomas, et al.. (2015). Endurance limits of MLC NAND flash. 6. 376–381. 2 indexed citations
17.
Mittelholzer, Thomas, Thomas Parnell, Nikolaos Papandreou, & Haralampos Pozidis. (2015). Symmetry-based subproduct codes. 4 indexed citations
18.
Parnell, Thomas, Nikolaos Papandreou, Thomas Mittelholzer, & Haralampos Pozidis. (2014). Modelling of the threshold voltage distributions of sub-20nm NAND flash memory. 2351–2356. 63 indexed citations
19.
Honschoten, J.W. van, et al.. (2011). Information storage and retrieval for probe storage using optical diffraction patterns. Journal of Applied Physics. 110(10). 2 indexed citations
20.
Parnell, Thomas, Haralampos Pozidis, & Oleg Zaboronski. (2008). Forward Message Passing Detector for Probe Storage. 1967–1971. 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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