Todd Arnold
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Information Systems
- Hardware and Architecture
- Co-authors
- Guohong CaoJing ZhaoYang ZhangEthan Katz-BassettÍtalo CunhaMatt CalderWyatt LloydVasileios Giotsas
- Topics
- Software-Defined Networks and 5G (5 papers)Caching and Content Delivery (4 papers)Cryptographic Implementations and Security (4 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewIBM Journal of Research and DevelopmentProceedings of the ACM on Measurement and Analysis of Computing Systems
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Todd Arnold
14 papers receiving 268 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 210
- Electrical and Electronic Engineering 118
- Artificial Intelligence 88
- Information Systems 44
- Hardware and Architecture 21
Countries citing papers authored by Todd Arnold
This map shows the geographic impact of Todd Arnold'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 Todd Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Arnold more than expected).
Fields of papers citing papers by Todd Arnold
This network shows the impact of papers produced by Todd Arnold. 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 Todd Arnold. The network helps show where Todd Arnold may publish in the future.
Co-authorship network of co-authors of Todd Arnold
This figure shows the co-authorship network connecting the top 25 collaborators of Todd Arnold. A scholar is included among the top collaborators of Todd Arnold 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 Todd Arnold. Todd Arnold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 37 | |
| 5 | 19 | |
| 6 | 12 | |
| 7 | 25 | |
| 8 | 4 | |
| 9 | Towards a Cyber Leader Course Modeled on Army Ranger School | 1 |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 77 | |
| 13 | 35 | |
| 14 | 3 | |
| 15 | 40 |
About Todd Arnold
Todd Arnold is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 282 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (5 papers), Caching and Content Delivery (4 papers) and Cryptographic Implementations and Security (4 papers). The work is most often cited by research in Computer Networks and Communications (210 citations), Hardware and Architecture (21 citations) and Artificial Intelligence (88 citations). Todd Arnold has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Guohong Cao, Jing Zhao, Yang Zhang, Ethan Katz-Bassett, Ítalo Cunha, Matt Calder, Wyatt Lloyd, Vasileios Giotsas, Brandon Schlinker and Jia He. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, IBM Journal of Research and Development and Proceedings of the ACM on Measurement and Analysis of Computing Systems.
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.