Kevin D. Bowers
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Alina OpreaAri JuelsThomas RistenpartVenkatanathan VaradarajanMarten van DijkMichael M. SwiftRonald L. RivestZhou Li
- Topics
- Cloud Computing and Resource Management (5 papers)Cryptography and Data Security (4 papers)Advanced Data Storage Technologies (4 papers)
- Journals
- ACM Transactions on StorageNetwork and Distributed System Security SymposiumFigshare
- Partner nations
- United StatesMexico
In The Last Decade
Kevin D. Bowers
13 papers receiving 954 citations
Hit Papers
Peers
Comparison fields: 5 of 28
- Information Systems 931
- Artificial Intelligence 672
- Computer Networks and Communications 499
- Signal Processing 59
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Kevin D. Bowers
This map shows the geographic impact of Kevin D. Bowers'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 Kevin D. Bowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Bowers more than expected).
Fields of papers citing papers by Kevin D. Bowers
This network shows the impact of papers produced by Kevin D. Bowers. 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 Kevin D. Bowers. The network helps show where Kevin D. Bowers may publish in the future.
Co-authorship network of co-authors of Kevin D. Bowers
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Bowers. A scholar is included among the top collaborators of Kevin D. Bowers 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 Kevin D. Bowers. Kevin D. Bowers 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 | 41 | |
| 3 | 6 | |
| 4 | 127 | |
| 5 | 19 | |
| 6 | 37 | |
| 7 | 59 | |
| 8 | How to Tell if Your Cloud Files Are Vulnerable to Drive Crashes. | 2 |
| 9 | 257 | |
| 10 | HAILbreakdown → | 477 |
| 11 | Consumable Credentials in Linear-Logic-Based Access-Control Systems. | 16 |
| 12 | A Linear Logic of Authorization and Knowledge | 0 |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 10 |
About Kevin D. Bowers
Kevin D. Bowers is a scholar working on Information Systems, Computer Networks and Communications and Hardware and Architecture, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Cryptography and Data Security (4 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Information Systems (931 citations), Computer Networks and Communications (499 citations) and Artificial Intelligence (672 citations). Kevin D. Bowers has collaborated with scholars based in United States and Mexico. Frequent co-authors include Alina Oprea, Ari Juels, Thomas Ristenpart, Venkatanathan Varadarajan, Marten van Dijk, Ari Juels, Michael M. Swift, Ronald L. Rivest, Zhou Li and R M Norris. Their work appears in journals such as ACM Transactions on Storage, Network and Distributed System Security Symposium and Figshare.
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.