Chris Kreucher
About
In The Last Decade
Chris Kreucher
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 890
- Computer Networks and Communications 535
- Aerospace Engineering 446
- Computer Vision and Pattern Recognition 309
- Automotive Engineering 201
Countries citing papers authored by Chris Kreucher
This map shows the geographic impact of Chris Kreucher'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 Chris Kreucher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Kreucher more than expected).
Fields of papers citing papers by Chris Kreucher
This network shows the impact of papers produced by Chris Kreucher. 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 Chris Kreucher. The network helps show where Chris Kreucher may publish in the future.
Co-authorship network of co-authors of Chris Kreucher
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Kreucher. A scholar is included among the top collaborators of Chris Kreucher 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 Chris Kreucher. Chris Kreucher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 31 | |
| 3 | Performance of maximum likelihood estimation for multipath TDOA passive ranging | 1 |
| 4 | A comparison of tracking algorithms for supermaneuverable targets | 5 |
| 5 | 5 | |
| 6 | 1 | |
| 7 | Dismount tracking by fusing measurements from a constellation of bistatic narrowband radar | 1 |
| 8 | A fuse-before-track approach to target state estimation using passive acoustic sensors | 3 |
| 9 | Track-before-fuse error bounds for tracking passive targets | 6 |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | An Information-based Approach to Sensor Resource Allocation | 4 |
| 15 | 31 | |
| 16 | Multiple Model Particle Filtering For Multi-Target Tracking | 15 |
| 17 | 140 | |
| 18 | 12 | |
| 19 | Multitarget Tracking Using a Particle Filter Representation of the Joint Multitarget Density | 11 |
| 20 | 11 |
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.