Fritz Obermeyer

819 total citations
8 papers, 34 citations indexed

About

Fritz Obermeyer is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Fritz Obermeyer has authored 8 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Signal Processing and 2 papers in Computational Theory and Mathematics. Recurrent topics in Fritz Obermeyer's work include Target Tracking and Data Fusion in Sensor Networks (3 papers), Time Series Analysis and Forecasting (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Fritz Obermeyer is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (3 papers), Time Series Analysis and Forecasting (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Fritz Obermeyer collaborates with scholars based in United States and Israel. Fritz Obermeyer's co-authors include Aubrey B. Poore, Martin Jankowiak, Scott A. Miller, Christopher J. Paciorek, Neeraj Pradhan, Perry de Valpine, Eli Bingham, Duncan Temple Lang, Daniel Turek and Noah D. Goodman and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Artificial Intelligence and Statistics.

In The Last Decade

Fritz Obermeyer

6 papers receiving 25 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fritz Obermeyer United States	4	24	7	5	5	3	8	34
Huazuo Gao	3	18 0.8×	4 0.6×	7 1.4×	4 0.8×	7 2.3×	3	59
Edward Lockhart United Kingdom	3	44 1.8×	3 0.4×	3 0.6×	3 0.6×	8 2.7×	4	57
D. Garabato Spain	4	10 0.4×	2 0.3×	3 0.6×	5 1.0×	4 1.3×	10	25
Rafael Felix Australia	4	26 1.1×	5 0.7×	2 0.4×	4 0.8×	18 6.0×	4	37
Georg Ruß Germany	4	8 0.3×	3 0.4×	2 0.4×	3 0.6×	6 2.0×	6	32
Thorsten Eisenhofer Germany	4	15 0.6×	14 2.0×	5 1.0×	7 1.4×	17 5.7×	6	48
Wangding Zeng China	3	21 0.9×	4 0.6×	5 1.0×	7 1.4×	22 7.3×	3	73
Robin Boswell United Kingdom	4	22 0.9×		3 0.6×	3 0.6×	3 1.0×	7	29
Dakshita Khurana United States	3	22 0.9×	9 1.3×	4 0.8×			6	33

Countries citing papers authored by Fritz Obermeyer

Since Specialization

Citations

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

Fields of papers citing papers by Fritz Obermeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fritz Obermeyer

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Valpine, Perry de, Christopher J. Paciorek, Daniel Turek, et al.. (2021). MCMC, Particle Filtering, and Programmable Hierarchical Modeling [R package nimble version 0.11.0].

2.

Obermeyer, Fritz, Eli Bingham, Martin Jankowiak, et al.. (2019). Tensor Variable Elimination for Plated Factor Graphs. arXiv (Cornell University). 4871–4880. 2 indexed citations

3.

Jankowiak, Martin & Fritz Obermeyer. (2018). Pathwise Derivatives Beyond the Reparameterization Trick. International Conference on Machine Learning. 2235–2244. 7 indexed citations

4.

Obermeyer, Fritz, et al.. (2014). Scaling Nonparametric Bayesian Inference via Subsample-Annealing. International Conference on Artificial Intelligence and Statistics. 696–705. 1 indexed citations

5.

Obermeyer, Fritz. (2009). Automated equational reasoning in nondeterministic lambda-calculi modulo theories H *. 1 indexed citations

6.

Miller, Scott A., et al.. (2005). Short-term ambiguity assessment to augment tracking data association information. 1481. 8 pp.–8 pp.. 6 indexed citations

7.

Obermeyer, Fritz & Aubrey B. Poore. (2004). <title>A Bayesian network tracking database</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5428. 400–418. 5 indexed citations

8.

Poore, Aubrey B., et al.. (2003). <title>Batch maximum likelihood (ML) and maximum a posteriori (MAP) estimation with process noise for tracking applications</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5204. 188–199. 12 indexed citations

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