Peter Bajorski

739 total citations
57 papers, 475 citations indexed

About

Peter Bajorski is a scholar working on Media Technology, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Peter Bajorski has authored 57 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Media Technology, 13 papers in Artificial Intelligence and 9 papers in Atmospheric Science. Recurrent topics in Peter Bajorski's work include Remote-Sensing Image Classification (26 papers), Advanced Image Fusion Techniques (15 papers) and Geochemistry and Geologic Mapping (11 papers). Peter Bajorski is often cited by papers focused on Remote-Sensing Image Classification (26 papers), Advanced Image Fusion Techniques (15 papers) and Geochemistry and Geologic Mapping (11 papers). Peter Bajorski collaborates with scholars based in United States, Canada and Poland. Peter Bajorski's co-authors include Emmett J. Ientilucci, Edward R. Tufte, John R. Schott, Michael E. Pichichero, Timothy J. Chapman, John Petkau, Minh Tuan Pham, John L. Sapp, B. Milan Horáček and Linwei Wang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and PEDIATRICS.

In The Last Decade

Peter Bajorski

49 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Bajorski United States 13 242 110 85 61 53 57 475
Muhammad Shahzad Sarfraz Pakistan 12 194 0.8× 111 1.0× 138 1.6× 143 2.3× 17 0.3× 46 798
Zhonghao Chen China 14 406 1.7× 191 1.7× 77 0.9× 147 2.4× 96 1.8× 34 592
Mattia Savardi Italy 11 143 0.6× 53 0.5× 118 1.4× 114 1.9× 16 0.3× 29 566
Guokang Zhu China 13 353 1.5× 220 2.0× 74 0.9× 245 4.0× 49 0.9× 21 708
Gabriel Dauphin France 12 217 0.9× 136 1.2× 105 1.2× 157 2.6× 59 1.1× 48 499
Jianfang Shi China 5 247 1.0× 67 0.6× 87 1.0× 200 3.3× 26 0.5× 10 597
Huiwu Luo China 13 143 0.6× 141 1.3× 49 0.6× 127 2.1× 38 0.7× 46 490
Zhenpeng Li China 8 451 1.9× 237 2.2× 78 0.9× 294 4.8× 32 0.6× 16 727
Lian Liu China 11 134 0.6× 70 0.6× 52 0.6× 48 0.8× 12 0.2× 37 378
Arun Kulkarni United States 14 137 0.6× 45 0.4× 175 2.1× 191 3.1× 17 0.3× 58 731

Countries citing papers authored by Peter Bajorski

Since Specialization
Citations

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

Fields of papers citing papers by Peter Bajorski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Bajorski

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Bajorski. A scholar is included among the top collaborators of Peter Bajorski 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 Peter Bajorski. Peter Bajorski 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.
Fuji, Naoko, Frank N. Salamone, Ravinder Kaur, et al.. (2025). Eighteen-Year Longitudinal Study of Uncomplicated and Complex Acute Otitis Media During the Pneumococcal Conjugate Vaccine Era, 2006–2023. The Journal of Infectious Diseases. 232(2). 417–429.
2.
3.
Bajorski, Peter, Naoko Fuji, Ravinder Kaur, & Michael E. Pichichero. (2023). Window of Susceptibility to Acute Otitis Media Infection. PEDIATRICS. 151(2). 4 indexed citations
4.
Chapman, Timothy J., Minh Tuan Pham, Peter Bajorski, & Michael E. Pichichero. (2022). Antibiotic Use and Vaccine Antibody Levels. PEDIATRICS. 149(5). 18 indexed citations
5.
Xu, Lei, et al.. (2021). Nasopharyngeal microbiome analyses in otitis-prone and otitis-free children. International Journal of Pediatric Otorhinolaryngology. 143. 110629–110629. 9 indexed citations
6.
Pichichero, Michael E., Timothy J. Chapman, & Peter Bajorski. (2021). Pneumonia, Sinusitis, Influenza and Other Respiratory Illnesses in Acute Otitis Media–Prone Children. The Pediatric Infectious Disease Journal. 40(11). 975–980. 11 indexed citations
7.
Bajorski, Peter, et al.. (2017). Dimensionality Reduction of High-Dimensional Highly Correlated Multivariate Grapevine Dataset. Open Journal of Statistics. 7(4). 702–717. 1 indexed citations
8.
Aardt, Jan van, et al.. (2016). Detection of wine grape nutrient levels using visible and near infrared 1nm spectral resolution remote sensing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9866. 98660H–98660H. 3 indexed citations
9.
Sapp, John L., et al.. (2015). Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach. IEEE Transactions on Medical Imaging. 35(1). 229–243. 19 indexed citations
10.
Bajorski, Peter. (2011). Statistics for Imaging, Optics, and Photonics. Wiley series in probability and statistics. 14 indexed citations
11.
Bajorski, Peter. (2011). Generalized Detection Fusion for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 50(4). 1199–1205. 7 indexed citations
12.
Bajorski, Peter. (2011). Generalized fusion: a new framework for hyperspectral detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8048. 804802–804802. 2 indexed citations
13.
Bajorski, Peter. (2010). Investigation of virtual dimensionality and Broken Stick Rule for hyperspectral images. 42. 1–4. 2 indexed citations
14.
Bajorski, Peter. (2006). Analytical comparison of the matched filter and orthogonal subspace projection detectors in structured models for hyperspectral images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6233. 623301–623301. 2 indexed citations
15.
16.
Bajorski, Peter. (2005). Analytical comparison of subpixel target detectors in structured models for hyperspectral images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5806. 850–850. 2 indexed citations
17.
Bajorski, Peter. (2004). Simplex projection methods for selection of endmembers in hyperspectral imagery. 5. 3207–3210. 17 indexed citations
18.
Bajorski, Peter, Emmett J. Ientilucci, & John R. Schott. (2004). Comparison of basis-vector selection methods for target and background subspaces as applied to subpixel target detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5425. 97–97. 41 indexed citations
19.
Bajorski, Peter & Edward R. Tufte. (1998). Visual Explanations: Images and Quantities, Evidence and Narrative. Technometrics. 40(1). 81–81. 33 indexed citations
20.
Bajorski, Peter. (1998). Visual Explanations: Images and Quantities, Evidence and Narrative. Technometrics. 40(1). 81–81. 19 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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