Daniel Kostrzewa

95 total papers · 696 total citations
42 papers, 312 citations indexed

About

Daniel Kostrzewa is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Daniel Kostrzewa has authored 42 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 12 papers in Media Technology. Recurrent topics in Daniel Kostrzewa's work include Advanced Image Processing Techniques (11 papers), Advanced Image Fusion Techniques (10 papers) and Music and Audio Processing (8 papers). Daniel Kostrzewa is often cited by papers focused on Advanced Image Processing Techniques (11 papers), Advanced Image Fusion Techniques (10 papers) and Music and Audio Processing (8 papers). Daniel Kostrzewa collaborates with scholars based in Poland, Italy and Ukraine. Daniel Kostrzewa's co-authors include Michał Kawulok, Jakub Nalepa, Dariusz Mrozek, Paweł Kasprowski, Stanisław Kozielski, Bożena Małysiak-Mrozek, Michał Myller, Jacek Andrzejewski, Henryk Josiński and Adam Świtoński and has published in prestigious journals such as Sensors, Applied Sciences and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Daniel Kostrzewa

32 papers receiving 300 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Kostrzewa 147 95 78 50 25 42 312
Yuan Fang 85 0.6× 66 0.7× 49 0.6× 26 0.5× 28 1.1× 34 329
B. Solaiman 100 0.7× 83 0.9× 70 0.9× 47 0.9× 15 0.6× 46 308
R. J. Ramteke 105 0.7× 54 0.6× 64 0.8× 27 0.5× 10 0.4× 28 306
Ahmed Hagag 149 1.0× 73 0.8× 75 1.0× 56 1.1× 6 0.2× 29 342
Fan Yang 160 1.1× 64 0.7× 73 0.9× 13 0.3× 12 0.5× 24 277
Wen Chen 186 1.3× 57 0.6× 57 0.7× 13 0.3× 66 2.6× 23 362
Prabhjot Kaur 92 0.6× 28 0.3× 113 1.4× 28 0.6× 38 1.5× 37 270
Alimohammad Latif 182 1.2× 36 0.4× 74 0.9× 20 0.4× 13 0.5× 40 305
Min Dong 132 0.9× 59 0.6× 87 1.1× 14 0.3× 14 0.6× 39 302
Yaguan Qian 114 0.8× 37 0.4× 148 1.9× 64 1.3× 6 0.2× 46 329

Countries citing papers authored by Daniel Kostrzewa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kostrzewa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kostrzewa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kostrzewa. A scholar is included among the top collaborators of Daniel Kostrzewa 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 Daniel Kostrzewa. Daniel Kostrzewa 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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