Ron Ross

588 citations
5 papers · 24 · h-index 3

Impact in

Papers in

Ron Ross

4 papers receiving 18 citations

Peers

Ron Ross
Comparison fields: 5 of 20
  • Information Systems 13
  • Safety, Risk, Reliability and Quality 5
  • Computer Networks and Communications 11
  • Statistics, Probability and Uncertainty 3
  • Signal Processing 4
Replace Victoria Pillitteri with:
Victoria Pillitteri Brazil
Eugen Mudnić Croatia
Kelley Dempsey Egypt
Hainan Ye China
B. Golden United States
Valter Balegas Portugal
Stéphanie Kerckhof Italy
Lauren Milechin United States
Keshav Sinha India
Amitabh Saxena Switzerland
Ron Ross relative to Victoria Pillitteri Brazil Victoria Pillitteri's profile →
Citations per field
00.5×1.5×
Victoria Pillitteri · 1×
Citations per year

Countries citing papers authored by Ron Ross

Since Specialization
Citations

This map shows the geographic impact of Ron Ross'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 Ron Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Ross more than expected).

Fields of papers citing papers by Ron Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Ross. 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 Ron Ross. The network helps show where Ron Ross may publish in the future.

Co-authors

The 5 scholars most cited alongside Ron Ross, 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 Ron Ross Line = papers co-authored together Ron Ross links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Systems Security Engineering: Cyber Resiliency Considerations for the Engineering of Trustworthy Secure Systems
201814
2
Systems Security Engineering Guideline: An Integrated Approach to Building Trustworthy Resilient Systems
20165
3 20073
4
Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations: Enhanced Security Requirements for Critical Programs and High Value Assets
20192
5
Commercial Perspectives on Information Assurance Research
19970

About Ron Ross

Ron Ross is a scholar working on Information Systems, Political Science and International Relations, Signal Processing, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 5 papers that have together received 24 indexed citations. Recurring topics across this work include Information and Cyber Security (4 papers), Risk and Safety Analysis (1 paper), Advanced Malware Detection Techniques (1 paper), Cybersecurity and Cyber Warfare Studies (1 paper), Digital and Cyber Forensics (1 paper), Safety Systems Engineering in Autonomy (1 paper) and Cybercrime and Law Enforcement Studies (1 paper). The work is most often cited by research in Information Systems (13 citations), Safety, Risk, Reliability and Quality (5 citations), Computer Networks and Communications (11 citations), Statistics, Probability and Uncertainty (3 citations) and Signal Processing (4 citations). Frequent co-authors include Richard Graubart, Deborah Bodeau, Victoria Pillitteri, R. Harrison Wagner and Stephen R. Welke. Their work appears in journals such as EDPACS.

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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