Paul M. Baggenstoss

1.0k total citations
69 papers, 753 citations indexed

About

Paul M. Baggenstoss is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul M. Baggenstoss has authored 69 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 39 papers in Signal Processing and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul M. Baggenstoss's work include Neural Networks and Applications (18 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (15 papers). Paul M. Baggenstoss is often cited by papers focused on Neural Networks and Applications (18 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (15 papers). Paul M. Baggenstoss collaborates with scholars based in United States, Germany and Switzerland. Paul M. Baggenstoss's co-authors include Steven Kay, Bo Tang, Haibo He, Albert H. Nuttall, H. Niemann, Frank Kurth, Marek Schikora, Wolfgang Koch, Daniel Cremers and Felix Govaers and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Paul M. Baggenstoss

67 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul M. Baggenstoss United States 14 395 237 187 123 81 69 753
Samir Datta India 19 200 0.5× 237 1.0× 229 1.2× 39 0.3× 112 1.4× 73 848
Guang Hua China 21 256 0.6× 344 1.5× 772 4.1× 34 0.3× 242 3.0× 61 1.4k
C. Myers United States 12 575 1.5× 609 2.6× 271 1.4× 17 0.1× 59 0.7× 26 1.2k
Weijie Tan China 11 163 0.4× 96 0.4× 241 1.3× 51 0.4× 182 2.2× 112 636
Marcos Eduardo Valle Brazil 16 518 1.3× 62 0.3× 190 1.0× 21 0.2× 132 1.6× 64 801
Anthony Zaknich Australia 12 242 0.6× 84 0.4× 64 0.3× 42 0.3× 80 1.0× 58 494
Xin Du China 13 422 1.1× 218 0.9× 739 4.0× 12 0.1× 69 0.9× 45 1.4k
Tod Luginbuhl United States 12 558 1.4× 81 0.3× 98 0.5× 78 0.6× 69 0.9× 29 718
Zengmao Wang China 15 490 1.2× 61 0.3× 405 2.2× 10 0.1× 28 0.3× 46 1.1k

Countries citing papers authored by Paul M. Baggenstoss

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Baggenstoss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul M. Baggenstoss

This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Baggenstoss. A scholar is included among the top collaborators of Paul M. Baggenstoss 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 Paul M. Baggenstoss. Paul M. Baggenstoss 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
1.
Baggenstoss, Paul M.. (2023). Improved Auto-Encoding Using Deterministic Projected Belief Networks and Compound Activation Functions. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1250–1254. 1 indexed citations
2.
Baggenstoss, Paul M. & Frank Kurth. (2022). Using the Projected Belief Network at High Dimensions. 2022 30th European Signal Processing Conference (EUSIPCO). 2 indexed citations
3.
Baggenstoss, Paul M.. (2018). On the Duality Between Belief Networks and Feed-Forward Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 30(1). 190–200. 17 indexed citations
4.
Baggenstoss, Paul M.. (2017). Maximum entropy PDF projection: A review. AIP conference proceedings. 1853. 70001–70001. 2 indexed citations
5.
Baggenstoss, Paul M.. (2016). Maximum entropy feature fusion. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1163–1169. 1 indexed citations
6.
Baggenstoss, Paul M.. (2015). Derivative-augmented features as a dynamic model for time-series. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 958–962. 2 indexed citations
7.
Baggenstoss, Paul M.. (2014). The Jonker-Volgenant algorithm applied to click-train separation. The Journal of the Acoustical Society of America. 135(5). 2485–2488. 2 indexed citations
8.
Baggenstoss, Paul M.. (2011). Two-Dimensional Hidden Markov Model for Classification of Continuous-Valued Noisy Vector Fields. IEEE Transactions on Aerospace and Electronic Systems. 47(2). 1073–1080. 5 indexed citations
9.
Baggenstoss, Paul M.. (2011). On the Equivalence of Hanning-Weighted and Overlapped Analysis Windows Using Different Window Sizes. IEEE Signal Processing Letters. 19(1). 27–30. 10 indexed citations
10.
Baggenstoss, Paul M.. (2011). An algorithm for the localization of multiple interfering sperm whales using multi-sensor time difference of arrival. The Journal of the Acoustical Society of America. 130(1). 102–112. 27 indexed citations
11.
Estellers, Virginia, Paul M. Baggenstoss, & Jean‐Philippe Thiran. (2010). Class-specific classifiers in audio-visual speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1998–2002. 1 indexed citations
12.
Baggenstoss, Paul M.. (2008). Joint localization and separation of sperm whale clicks. Canadian acoustics. 36(1). 125–131. 7 indexed citations
13.
Baggenstoss, Paul M.. (2006). Narrowband Tracking Using a Markov Random Field Algorithm. 48. 1–6. 1 indexed citations
14.
Baggenstoss, Paul M.. (2004). Class-specific classifier: avoiding the curse of dimensionality. IEEE Aerospace and Electronic Systems Magazine. 19(1). 37–52. 27 indexed citations
15.
Baggenstoss, Paul M.. (2004). Image distortion analysis using polynomial series expansion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(11). 1438–1451. 2 indexed citations
16.
Baggenstoss, Paul M.. (2003). The Class-Specific Classifier: Avoiding the Curse of Dimensionality Tutorial. Defense Technical Information Center (DTIC). 1 indexed citations
17.
Baggenstoss, Paul M. & H. Niemann. (2002). A theoretically optimal probabilistic classifier using class-specific features. 2. 763–768. 13 indexed citations
18.
19.
Baggenstoss, Paul M.. (1998). Adaptive pulselength correction (APLECORR): a strategy for waveform optimization in ultrawideband active sonar. IEEE Journal of Oceanic Engineering. 23(1). 1–11. 12 indexed citations
20.
Baggenstoss, Paul M. & Steven Kay. (1995). Detection of broadband planewaves in the presence of Gaussian noise of unknown covariance: asymptotically optimum tests using the 2-D autoregressive noise model. IEEE Transactions on Signal Processing. 43(4). 950–966. 1 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.

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