Karna Bryan
- Ocean Engineering top 0.5%
- Artificial Intelligence top 5%
- Transportation top 2%
- Industrial and Manufacturing Engineering top 5%
- Environmental Engineering top 10%
- Co-authors
- Michele VespeGiuliana PallottaPaolo BracaLeonardo M. MillefioriPeter WillettLauro SnidaroSalvatore MarescaRaffaele Grasso
- Topics
- Maritime Navigation and Safety (13 papers)Target Tracking and Data Fusion in Sensor Networks (9 papers)Anomaly Detection Techniques and Applications (4 papers)
- Partner nations
- BelgiumItalyUnited States
In The Last Decade
Karna Bryan
15 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Ocean Engineering 754
- Artificial Intelligence 288
- Transportation 182
- Industrial and Manufacturing Engineering 131
- Environmental Engineering 103
Countries citing papers authored by Karna Bryan
This map shows the geographic impact of Karna Bryan'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 Karna Bryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karna Bryan more than expected).
Fields of papers citing papers by Karna Bryan
This network shows the impact of papers produced by Karna Bryan. 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 Karna Bryan. The network helps show where Karna Bryan may publish in the future.
Co-authorship network of co-authors of Karna Bryan
This figure shows the co-authorship network connecting the top 25 collaborators of Karna Bryan. A scholar is included among the top collaborators of Karna Bryan 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 Karna Bryan. Karna Bryan 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 | Long-term vessel kinematics prediction exploiting mean-reverting processes | 11 |
| 3 | 97 | |
| 4 | Adaptive filtering of imprecisely time-stamped measurements with application to AIS networks | 12 |
| 5 | 9 | |
| 6 | 42 | |
| 7 | Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results | 48 |
| 8 | Traffic knowledge discovery from AIS data | 32 |
| 9 | 46 | |
| 10 | Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Predictionbreakdown → | 502 |
| 11 | 1 | |
| 12 | Markov Logic Networks for context integration and situation assessment in maritime domain | 10 |
| 13 | 80 | |
| 14 | Estimating sensor performance and target population size with multiple sensors | 6 |
| 15 | 4 | |
| 16 | 5 |
About Karna Bryan
Karna Bryan is a scholar working on Ocean Engineering, Artificial Intelligence and Transportation, having authored 16 papers that have together received 905 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (13 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Ocean Engineering (754 citations), Transportation (182 citations) and Industrial and Manufacturing Engineering (131 citations). Karna Bryan has collaborated with scholars based in Belgium, Italy and United States. Frequent co-authors include Michele Vespe, Giuliana Pallotta, Paolo Braca, Leonardo M. Millefiori, Peter Willett, Lauro Snidaro, Salvatore Maresca, Raffaele Grasso, Jochen Horstmann and Craig Carthel. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Information Fusion and Entropy.
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.