Fred E. Daum

3.9k citations
108 papers · 3k · 2 hit papers · h-index 22

Impact in

Papers in

Fred E. Daum

104 papers receiving 2.8k citations

Fred E. Daum's Hit Papers

The probabilistic data association filter 2009 · 595 citations
5950+7+14Years since publication100200300400500

Peers

Fred E. Daum
Comparison fields: 5 of 72
  • Artificial Intelligence 2.1k
  • Aerospace Engineering 564
  • Statistics and Probability 163
  • Automotive Engineering 99
  • Signal Processing 56
Replace Jayesh H. Kotecha with:
Jayesh H. Kotecha United States
Joaquı́n Mı́guez Spain
Sumeetpal Sidhu Singh United Kingdom
DANIEL L. ALSPACH United States
Arno Solin Finland
Adrian N. Bishop Australia
Silvère Bonnabel France
Roy L. Streit United States
Dominic Schuhmacher Germany
Yuantao Gu China
Fred E. Daum relative to Jayesh H. Kotecha United States Jayesh H. Kotecha's profile →
Citations per field
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Jayesh H. Kotecha · 1×
Citations per year

Countries citing papers authored by Fred E. Daum

Since Specialization
Citations

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

Fields of papers citing papers by Fred E. Daum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred E. Daum. 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 Fred E. Daum. The network helps show where Fred E. Daum may publish in the future.

Co-authors

The 14 scholars most cited alongside Fred E. Daum, 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 Fred E. Daum Line = papers co-authored together Fred E. Daum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The probabilistic data association filter
Hit paper breakdown →
2009595
2
Nonlinear filters: beyond the Kalman filter
Hit paper breakdown →
2005524
3 2004219
4 1986131
5 2010115
6 198398
7 200991
8 200860
9 201350
10 201148
11 200747
12 200943
13 199439
14 199035
15 201035
16 200934
17 201032
18 198730
19 201127
20 201125

About Fred E. Daum

Fred E. Daum is a scholar working on Artificial Intelligence, Statistics and Probability, Aerospace Engineering, Applied Mathematics and Control and Systems Engineering, having authored 108 papers that have together received 3k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (89 papers), Radar Systems and Signal Processing (10 papers), Markov Chains and Monte Carlo Methods (8 papers), Control Systems and Identification (5 papers), Quantum Information and Cryptography (5 papers), Statistical and numerical algorithms (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Aerospace Engineering (564 citations), Statistics and Probability (163 citations), Automotive Engineering (99 citations) and Signal Processing (56 citations). Fred E. Daum has collaborated with scholars based in United States and Italy. Frequent co-authors include Jim Huang, Yaakov Bar‐Shalom, Peter Willett, Liyi Dai, Shozo Mori, Qin Lu, F. Palmieri, Stephen S.‐T. Yau, Sabir R. Umarov and Shing–Tung Yau. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Automatic Control, IEEE Aerospace and Electronic Systems Magazine, IEEE Control Systems and Fractional Calculus and Applied Analysis.

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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