Kyle Ingols

1.3k citations
9 papers · 588 · h-index 7

Impact in

Papers in

Kyle Ingols

9 papers receiving 534 citations

Peers

Kyle Ingols
Comparison fields: 5 of 32
  • Signal Processing 282
  • Information Systems 500
  • Computer Networks and Communications 486
  • Software 38
  • Hardware and Architecture 35
Replace Wayne F. Boyer with:
Wayne F. Boyer United States
Saket Kaushik United States
Yun Cui South Korea
Nayot Poolsappasit United States
Dingbang Xu United States
Svein J. Knapskog Norway
Kangkook Jee United States
Brendan Saltaformaggio United States
Fabio Pierazzi United Kingdom
Ronald W. Ritchey United States
Kyle Ingols relative to Wayne F. Boyer United States Wayne F. Boyer's profile →
Citations per field
00.5×3.3×
Wayne F. Boyer · 1×
Citations per year

Countries citing papers authored by Kyle Ingols

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Ingols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Kyle Ingols, 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 Kyle Ingols Line = papers co-authored together Kyle Ingols links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2006230
2 2009135
3 2006113
4
Evaluating and Strengthening Enterprise Network Security Using Attack Graphs
200542
5 201041
6 200210
7 20149
8 20176
9
Guidelines for Secure Small Satellite Design and Implementation: FY18 Cyber Security Line-Supported Program
20192

About Kyle Ingols

Kyle Ingols is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 588 indexed citations. Recurring topics across this work include Information and Cyber Security (5 papers), Network Security and Intrusion Detection (4 papers), Network Packet Processing and Optimization (3 papers), Space Satellite Systems and Control (2 papers), Complex Network Analysis Techniques (1 paper), Cell Image Analysis Techniques (1 paper), Advanced Malware Detection Techniques (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Signal Processing (282 citations), Information Systems (500 citations), Computer Networks and Communications (486 citations), Software (38 citations) and Hardware and Architecture (35 citations). Kyle Ingols has collaborated with scholars based in United States. Frequent co-authors include Richard P. Lippmann, Seth Webster, Christopher J. Scott, Robert K. Cunningham, Idit Keidar, Benjamin Fuller and Richard Skowyra. Their work appears in journals such as Defense Technical Information Center (DTIC).

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.

Explore authors with similar magnitude of impact