Countries citing papers authored by Andrzej Obuchowicz
Since
Specialization
Citations
This map shows the geographic impact of Andrzej Obuchowicz'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 Andrzej Obuchowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Obuchowicz more than expected).
Fields of papers citing papers by Andrzej Obuchowicz
This network shows the impact of papers produced by Andrzej Obuchowicz. 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 Andrzej Obuchowicz. The network helps show where Andrzej Obuchowicz may publish in the future.
Co-authorship network of co-authors of Andrzej Obuchowicz
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Obuchowicz.
A scholar is included among the top collaborators of Andrzej Obuchowicz 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 Andrzej Obuchowicz. Andrzej Obuchowicz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Filipczuk, Paweł, Thomas Fevens, Adam Krzyżak, & Andrzej Obuchowicz. (2012). GLCM AND GLRLM BASED TEXTURE FEATURES FOR COMPUTER-AIDED BREAST CANCER DIAGNOSIS. Journal of Medical Informatics & Technologies. 19.11 indexed citations
Kowal, Marek, Paweł Filipczuk, Andrzej Obuchowicz, & Józef Korbicz. (2011). COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION 2. Journal of Medical Informatics & Technologies. 17.20 indexed citations
Obuchowicz, Andrzej. (2007). Evolutionary algorithms with mutations based on (alfa) Stable and directional distributions. 209–216.1 indexed citations
11.
Obuchowicz, Andrzej, et al.. (2007). Applications of decision trees to filtering and segmentation of breast cancer fine needle biopsy microscope images. 27(4). 59–70.1 indexed citations
12.
Obuchowicz, Andrzej, et al.. (2004). Phenotypic evolution with a mutation based on symmetric α-stable distributions. International Journal of Applied Mathematics and Computer Science. 14(3). 289–316.10 indexed citations
13.
Obuchowicz, Andrzej, et al.. (2004). Application of the General Gaussian Membership Function for the Fuzzy Model.1 indexed citations
14.
Obuchowicz, Andrzej. (2003). Population in an evolutionary trap: Simulation of natural exploration. Bulletin of the Polish Academy of Sciences Technical Sciences. 51(1). 60–104.1 indexed citations
Korbicz, Józef, Krzysztof Patan, & Andrzej Obuchowicz. (2001). Neural Network Fault Detection System for Dynamic Processes. Bulletin of the Polish Academy of Sciences Technical Sciences. 301–321.5 indexed citations
19.
Korbicz, Józef, Krzysztof Patan, & Andrzej Obuchowicz. (1999). Dynamic Neural Networks for Process Modelling in Fault Detection and Isolation Systems. International Journal of Applied Mathematics and Computer Science. 9(3). 519–546.25 indexed citations
20.
Obuchowicz, Andrzej, et al.. (1998). An algebraic approach to modelling and performance optimisation of a traffic route system. International Journal of Applied Mathematics and Computer Science. 8(2). 335–365.1 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.