Don Koks

489 citations
18 papers · 282 · h-index 9

Impact in

Papers in

Don Koks

18 papers receiving 268 citations

Peers

Don Koks
Comparison fields: 5 of 73
  • Statistical and Nonlinear Physics 48
  • Astronomy and Astrophysics 60
  • Artificial Intelligence 77
  • Nuclear and High Energy Physics 28
  • Atomic and Molecular Physics, and Optics 59
Replace Roger L. Easton with:
Roger L. Easton United States
P.R. Mahapatra India
Russell J. Hewett United States
Michele Rosso France
Cunqian Yu China
Duncan W. Mills United States
Nesar Ramachandra United States
Gabriele Giorgi Germany
Lynton Ardizzone Germany
Javier Ventura‐Traveset Netherlands
Don Koks relative to Roger L. Easton United States Roger L. Easton's profile →
Citations per field
00.5×5.7×
Roger L. Easton · 1×
Citations per year

Countries citing papers authored by Don Koks

Since Specialization
Citations

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

Fields of papers citing papers by Don Koks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
An Introduction to Bayesian and Dempster-Shafer Data Fusion
200359
2 200445
3 199738
4 199732
5 200729
6 200617
7 199711
8
Numerical Calculations for Passive Geolocation Scenarios
200710
9
Using Rotations to Build Aerospace Coordinate Systems
20089
10
Passive Geolocation for Multiple Receivers With No Initial State Estimate
20017
11
How to Create and Manipulate Radar Range-Doppler Plots
20145
12 19965
13 20224
14 20173
15 20193
16
Changing Coordinates in the Context of Orbital Mechanics
20172
17 20022
18 20201

About Don Koks

Don Koks is a scholar working on Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 18 papers that have together received 282 indexed citations. Recurring topics across this work include Relativity and Gravitational Theory (4 papers), Cosmology and Gravitation Theories (3 papers), Bayesian Modeling and Causal Inference (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Multi-Criteria Decision Making (2 papers), Quantum Electrodynamics and Casimir Effect (2 papers), Geophysics and Gravity Measurements (2 papers) and Geophysics and Sensor Technology (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (48 citations), Astronomy and Astrophysics (60 citations), Artificial Intelligence (77 citations), Nuclear and High Energy Physics (28 citations) and Atomic and Molecular Physics, and Optics (59 citations). Don Koks has collaborated with scholars based in Australia and United States. Frequent co-authors include Subhash Challa, B. L. Hu, Alpan Raval, Andrew Matacz and R. J. Protheroe. Their work appears in journals such as Sadhana, Universe, Journal of Navigation, Foundations of Physics and American Journal of Physics.

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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