Jason M. Aughenbaugh

26 papers receiving 401 citations

Peers

Jason M. Aughenbaugh
Comparison fields: 5 of 69
  • Statistics, Probability and Uncertainty 146
  • Management Science and Operations Research 109
  • Computational Theory and Mathematics 104
  • Management of Technology and Innovation 91
  • Artificial Intelligence 68
Replace Vijitashwa Pandey with:
Vijitashwa Pandey United States
Robert R. Sandusky United States
F. S. Wong United States
Pier Davide Ciampa Germany
Oliver Bandte United States
Peida Xu China
Feiyu Zhu United States
Chunhe Xie China
Philipp Limbourg Germany
Eunhye Song United States
Jason M. Aughenbaugh relative to Vijitashwa Pandey United States Vijitashwa Pandey's profile →
Citations per field
00.5×1.5×2.1×
Vijitashwa Pandey · 1×
Citations per year

Countries citing papers authored by Jason M. Aughenbaugh

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Aughenbaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Aughenbaugh. 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 Jason M. Aughenbaugh. The network helps show where Jason M. Aughenbaugh may publish in the future.

Co-authorship network of co-authors of Jason M. Aughenbaugh

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Aughenbaugh. A scholar is included among the top collaborators of Jason M. Aughenbaugh 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 Jason M. Aughenbaugh. Jason M. Aughenbaugh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3
Bayesian passive sonar tracking with conventional beamformer-level data
3
4 2
5
Affective Issues in the Search for Artificial Intelligence
0
6
A polynomial-adaptive scheme for Bayesian tracking
2
7
Particle-inspired motion updates for grid-based Bayesian trackers
1
8
Measurement-Guided Likelihood Sampling for Grid-Based Bayesian Tracking.
6
9 1
10 4
11
Use of prior information in active sonar tracking
5
12 7
13 18
14 85
15 4
16 18
17 5
18 32
19 78
20 61

About Jason M. Aughenbaugh

Jason M. Aughenbaugh is a scholar working on Statistics, Probability and Uncertainty, Oceanography and Management Science and Operations Research, having authored 28 papers that have together received 431 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (11 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers) and Underwater Acoustics Research (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (146 citations), Management of Technology and Innovation (91 citations) and Management Science and Operations Research (109 citations). Jason M. Aughenbaugh has collaborated with scholars based in United States. Frequent co-authors include Christiaan J. J. Paredis, Brian R. La Cour, Richard Malak, Jeffrey W. Herrmann, M. Bruns, Ryan J. Pirkl, Bert Bras, James M. Gelb, Scott Duncan and Jason Kurtz. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Mechanical Design.

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

Rankless by CCL
2026