Nathaniel Hudson

526 citations
30 papers · 358 · h-index 11

Impact in

Papers in

Nathaniel Hudson

28 papers receiving 350 citations

Peers

Nathaniel Hudson
Comparison fields: 5 of 67
  • Human-Computer Interaction 107
  • Computer Science Applications 37
  • Automotive Engineering 44
  • Museology 11
  • Computer Networks and Communications 71
Replace Salvatore Andolina with:
Salvatore Andolina Italy
Iván Sanchéz Milara Finland
Giovanni Malnati Italy
George Margetis Greece
Wei Chong Ng Singapore
Reuben Edwards United Kingdom
Gregor Broll Germany
René Reiners Germany
Pincan Zhao China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Nathaniel Hudson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nathaniel Hudson Line = papers co-authored together Nathaniel Hudson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201699
2 201639
3 202127
4 202020
5 201819
6 202216
7 202414
8 202313
9 201812
10 202210
11 202410
12 20239
13 20229
14 20229
15 20238
16 20208
17 20157
18 20235
19 20215
20 20253

About Nathaniel Hudson

Nathaniel Hudson is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Statistical and Nonlinear Physics, having authored 30 papers that have together received 358 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), IoT and Edge/Fog Computing (6 papers), Stochastic Gradient Optimization Techniques (4 papers), Complex Network Analysis Techniques (4 papers), Cryptography and Data Security (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Opinion Dynamics and Social Influence (3 papers) and Age of Information Optimization (2 papers). The work is most often cited by research in Human-Computer Interaction (107 citations), Computer Science Applications (37 citations), Automotive Engineering (44 citations), Museology (11 citations) and Computer Networks and Communications (71 citations). Nathaniel Hudson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Parmit K. Chilana, Hana Khamfroush, Ian Foster, Kyle Chard, Nasir Ghani, Md. Jakir Hossain, Ryan Chard, Omer Rana, Mahshid Rahnamay‐Naeini and Thidapat Chantem. Their work appears in journals such as Future Generation Computer Systems, ACM Transactions on Embedded Computing Systems, Journal of Data and Information Quality, Applied Network Science and IEEE Transactions on Network Science and Engineering.

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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