David Challener
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Information Systems top 5%
- Cloud Data Security Solutions
Papers in
-
- Digital and Cyber Forensics 2
- Cloud Data Security Solutions 1
- Cloud Computing and Resource Management 1
-
- Security and Verification in Computing 3
- Cryptographic Implementations and Security 1
- Co-authors
- Kenneth J. Goldman (1 shared paper)Leendert van Doorn (1 shared paper)David Safford (1 shared paper)J. P. Karidis (1 shared paper)Chatschik Bisdikian (1 shared paper)D. G. Shea (1 shared paper)Ajay Mohindra (1 shared paper)Lee A. Rubel (1 shared paper)
- Journals
- IBM Systems Journal (1 paper)American Mathematical Monthly (1 paper)CERN Document Server (European Organization for Nuclear Research) (2 papers)Apress eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
David Challener
6 papers receiving 279 citations
Peers
Comparison fields: 5 of 37
- Signal Processing 90
- Information Systems 162
- Hardware and Architecture 46
- Artificial Intelligence 204
- Computer Networks and Communications 130
Countries citing papers authored by David Challener
This map shows the geographic impact of David Challener'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 David Challener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Challener more than expected).
Fields of papers citing papers by David Challener
This network shows the impact of papers produced by David Challener. 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 David Challener. The network helps show where David Challener may publish in the future.
Co-authors
The 10 scholars most cited alongside David Challener, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Practical Guide to Trusted Computing | 2007 | 99 |
| 2 | 2015 | 80 | |
| 3 | 2003 | 70 | |
| 4 | 2015 | 39 | |
| 5 | Trusted Platform Module Evolution | 2015 | 15 |
| 6 | 1982 | 1 | |
| 7 | 2015 | 0 | |
| 8 | Blockchain Basics and Suitability: A Primer for Program Managers. | 2019 | 0 |
About David Challener
David Challener is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 8 papers that have together received 304 indexed citations. Recurring topics across this work include Security and Verification in Computing (3 papers), Digital and Cyber Forensics (2 papers), Data Quality and Management (1 paper), Scientific Computing and Data Management (1 paper), Cloud Data Security Solutions (1 paper), Cloud Computing and Resource Management (1 paper), Cryptographic Implementations and Security (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Signal Processing (90 citations), Information Systems (162 citations), Hardware and Architecture (46 citations), Artificial Intelligence (204 citations) and Computer Networks and Communications (130 citations). David Challener has collaborated with scholars based in United States. Frequent co-authors include Kenneth J. Goldman, Leendert van Doorn, David Safford, J. P. Karidis, Chatschik Bisdikian, D. G. Shea, Ajay Mohindra, Lee A. Rubel, Christina K. Pikas and Peter Kruus. Their work appears in journals such as IBM Systems Journal, American Mathematical Monthly, CERN Document Server (European Organization for Nuclear Research) and Apress eBooks.
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.