Peter Bajorski

90 total papers · 733 total citations
56 papers, 472 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 56 papers receiving a total of 472 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, B. Milan Horáček, Linwei Wang and John L. Sapp 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 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Bajorski 242 110 85 61 53 56 472
Lin Zhao 220 0.9× 103 0.9× 65 0.8× 97 1.6× 43 0.8× 57 497
Jianxin Jia 219 0.9× 82 0.7× 57 0.7× 74 1.2× 90 1.7× 35 443
Gabriel Dauphin 217 0.9× 135 1.2× 103 1.2× 154 2.5× 57 1.1× 48 487
Huiwu Luo 143 0.6× 140 1.3× 49 0.6× 126 2.1× 37 0.7× 46 483
Muhammad Attique Khan 65 0.3× 32 0.3× 130 1.5× 69 1.1× 27 0.5× 71 460
Xiao Wang 156 0.6× 94 0.9× 38 0.4× 76 1.2× 146 2.8× 44 460
Yijun Yan 224 0.9× 67 0.6× 66 0.8× 254 4.2× 40 0.8× 30 531
Xiaodi Shang 390 1.6× 199 1.8× 66 0.8× 135 2.2× 72 1.4× 40 512
Chengle Zhou 417 1.7× 247 2.2× 102 1.2× 176 2.9× 29 0.5× 33 547
Jie Fang 183 0.8× 85 0.8× 54 0.6× 156 2.6× 48 0.9× 36 471

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

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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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