Christopher G. Brinton
- Artificial Intelligence top 1%
- Computer Science Applications top 0.5%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 2%
- Co-authors
- Mung ChiangDavid J. LoveSeyyedali HosseinalipourCarlee Joe‐WongLiangqi YuanZiran WangFelix Ming Fai WongTsung-Yen Yang
- Topics
- Privacy-Preserving Technologies in Data (44 papers)Online Learning and Analytics (24 papers)Stochastic Gradient Optimization Techniques (18 papers)
- Journals
- IEEE Transactions on Information TheorySocial Science & MedicineIEEE Transactions on Signal Processing
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Christopher G. Brinton
134 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 876
- Computer Science Applications 626
- Computer Networks and Communications 440
- Electrical and Electronic Engineering 356
- Information Systems 289
Countries citing papers authored by Christopher G. Brinton
This map shows the geographic impact of Christopher G. Brinton'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 Christopher G. Brinton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher G. Brinton more than expected).
Fields of papers citing papers by Christopher G. Brinton
This network shows the impact of papers produced by Christopher G. Brinton. 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 Christopher G. Brinton. The network helps show where Christopher G. Brinton may publish in the future.
Co-authorship network of co-authors of Christopher G. Brinton
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher G. Brinton. A scholar is included among the top collaborators of Christopher G. Brinton 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 Christopher G. Brinton. Christopher G. Brinton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 10 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 48 | |
| 20 | 15 |
About Christopher G. Brinton
Christopher G. Brinton is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications, having authored 146 papers that have together received 1.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (44 papers), Online Learning and Analytics (24 papers) and Stochastic Gradient Optimization Techniques (18 papers). The work is most often cited by research in Computer Science Applications (626 citations), Artificial Intelligence (876 citations) and Computer Networks and Communications (440 citations). Christopher G. Brinton has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Mung Chiang, David J. Love, Seyyedali Hosseinalipour, Carlee Joe‐Wong, Liangqi Yuan, Ziran Wang, Felix Ming Fai Wong, Tsung-Yen Yang, Zhenming Liu and Shaili Jain. Their work appears in journals such as IEEE Transactions on Information Theory, Social Science & Medicine and IEEE Transactions on Signal Processing.
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.