Nathaniel Hudson

507 total citations
30 papers, 339 citations indexed

About

Nathaniel Hudson is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathaniel Hudson has authored 30 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathaniel Hudson's work include Privacy-Preserving Technologies in Data (9 papers), IoT and Edge/Fog Computing (6 papers) and Complex Network Analysis Techniques (4 papers). Nathaniel Hudson is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), IoT and Edge/Fog Computing (6 papers) and Complex Network Analysis Techniques (4 papers). Nathaniel Hudson collaborates with scholars based in United States, Canada and United Kingdom. Nathaniel Hudson's co-authors include Parmit K. Chilana, Hana Khamfroush, Kyle Chard, Ian Foster, Thidapat Chantem, Omer Rana, Ryan Chard, Md. Jakir Hossain, Nasir Ghani and Mahshid Rahnamay‐Naeini and has published in prestigious journals such as Future Generation Computer Systems, IEEE Transactions on Network Science and Engineering and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Nathaniel Hudson

28 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel Hudson United States 10 105 80 69 58 51 30 339
Ana Belén Gil González Spain 10 105 1.0× 73 0.9× 67 1.0× 95 1.6× 132 2.6× 43 426
Salvatore Andolina Italy 13 97 0.9× 99 1.2× 45 0.7× 102 1.8× 133 2.6× 42 418
Pincan Zhao China 7 37 0.4× 94 1.2× 118 1.7× 39 0.7× 107 2.1× 26 338
Toyohide Watanabe Japan 9 38 0.4× 120 1.5× 41 0.6× 126 2.2× 90 1.8× 123 412
Johann Schlichter Germany 10 68 0.6× 152 1.9× 90 1.3× 26 0.4× 77 1.5× 26 366
Andrea Melis Italy 11 24 0.2× 39 0.5× 143 2.1× 40 0.7× 85 1.7× 42 389
Houman Alborzi United States 9 82 0.8× 106 1.3× 230 3.3× 127 2.2× 89 1.7× 13 663
Wei Chong Ng Singapore 8 149 1.4× 126 1.6× 209 3.0× 108 1.9× 157 3.1× 11 562
Giovanni Malnati Italy 11 44 0.4× 38 0.5× 95 1.4× 69 1.2× 68 1.3× 31 372

Countries citing papers authored by Nathaniel Hudson

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel Hudson

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel Hudson. A scholar is included among the top collaborators of Nathaniel Hudson 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 Nathaniel Hudson. Nathaniel Hudson 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.
Hudson, Nathaniel, et al.. (2025). Addressing Reproducibility Challenges in HPC with Continuous Integration. 437–457.
2.
Hudson, Nathaniel, et al.. (2025). Flight: A FaaS-based framework for complex and Hierarchical Federated Learning. Future Generation Computer Systems. 174. 107998–107998. 1 indexed citations
3.
Sohail, Shaleeza, Melanie Po‐Leen Ooi, Boyang Li, et al.. (2024). RuralAI in Tomato Farming: Integrated Sensor System, Distributed Computing, and Hierarchical Federated Learning for Crop Health Monitoring. IEEE Sensors Letters. 8(5). 1–4. 14 indexed citations
4.
Hudson, Nathaniel, et al.. (2024). QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Generation Computer Systems. 157. 250–263. 8 indexed citations
5.
6.
Hudson, Nathaniel, et al.. (2024). TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. 1–10. 3 indexed citations
7.
Hudson, Nathaniel, et al.. (2023). Deadline-Aware Task Offloading for Vehicular Edge Computing Networks Using Traffic Light Data. ACM Transactions on Embedded Computing Systems. 23(1). 1–25. 9 indexed citations
8.
Hudson, Nathaniel, Logan Ward, Ryan Chard, et al.. (2023). Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. 1–10. 5 indexed citations
9.
10.
Ward, Logan, et al.. (2023). Accelerating Communications in Federated Applications with Transparent Object Proxies. 1–15. 13 indexed citations
11.
Hudson, Nathaniel, et al.. (2023). Balancing Federated Learning Trade-Offs for Heterogeneous Environments. 404–407. 2 indexed citations
12.
Rana, Omer, Theodoros Spyridopoulos, Nathaniel Hudson, et al.. (2022). Hierarchical and Decentralised Federated Learning. ORCA Online Research @Cardiff (Cardiff University). 1–9. 10 indexed citations
13.
14.
Hudson, Nathaniel, et al.. (2021). A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning. 1–9. 26 indexed citations
15.
Hudson, Nathaniel & Hana Khamfroush. (2020). Behavioral Information Diffusion for Opinion Maximization in Online Social Networks. IEEE Transactions on Network Science and Engineering. 8(2). 1259–1268. 20 indexed citations
16.
Hudson, Nathaniel, et al.. (2020). A Proximity-Based Generative Model for Online Social Network Topologies. 393. 648–653. 2 indexed citations
17.
Hudson, Nathaniel, Benjamin Lafreniere, Parmit K. Chilana, & Tovi Grossman. (2018). Investigating How Online Help and Learning Resources Support Children's Use of 3D Design Software. 1–14. 11 indexed citations
18.
Hudson, Nathaniel, et al.. (2016). Barriers to Using, Customizing, and Printing 3D Designs on Thingiverse. 195–199. 35 indexed citations
19.
Hudson, Nathaniel, et al.. (2016). Understanding Newcomers to 3D Printing. 384–396. 95 indexed citations
20.
Hudson, Nathaniel, et al.. (2015). Understanding triggers for clarification requests in community-based software help forums. 189–193. 6 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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