Adam Piórkowski

1.3k citations
78 papers · 493 indexed · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (9 papers)Geographic Information Systems Studies (8 papers)3D Modeling in Geospatial Applications (6 papers)
Partner nations
PolandEgyptSaudi Arabia

In The Last Decade

Adam Piórkowski

65 papers receiving 470 citations

Peers

Adam Piórkowski
Comparison fields: 5 of 115
  • Radiology, Nuclear Medicine and Imaging 142
  • Computer Vision and Pattern Recognition 94
  • Epidemiology 84
  • Pulmonary and Respiratory Medicine 76
  • Biomedical Engineering 72
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Citations per field
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Citations per year

Countries citing papers authored by Adam Piórkowski

Since Specialization
Citations

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

Fields of papers citing papers by Adam Piórkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Piórkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Piórkowski. A scholar is included among the top collaborators of Adam Piórkowski 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 Adam Piórkowski. Adam Piórkowski 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
#WorkIndexed citations
1 0
2 2
3 0
4 3
5 3
6 18
7 3
8
Selected aspects of corneal endothelial segmentation quality
7
9
Constructing software for analysis of neuron, glial and endothelial cell numbers and density in histological Nissl-stained rodent brain tissue
5
10 4
11
Rozszerzenie możliwosci systemu PostGIS o metodę triangulacji Delaunay, przy wykorzystaniu biblioteki CGAL
0
12 1
13 0
14
Using computed tomography images for a heart modeling
2
15
Konstrukcja procesu ETL dla danych przestrzennych
3
16 1
17
PATTERN MATCHING ALGORITHMS IN PREPARATION OF A 3D HEART MODELS
1
18
Selected issues of corneal endothelial image segmentation
4
19
WYDAJNOŚĆ ZŁĄCZEŃ I ZAGNIEŻDŻEŃ DLA SCHEMATÓW ZNORMALIZOWANYCH I ZDENORMALIZOWANYCH 1
0
20
CONSTRUCTION OF EDUCATIONAL COLOR LAYER FOR ECHOCARDIOGRAPHY SIMULATOR
2

About Adam Piórkowski

Adam Piórkowski is a scholar working on Geography, Planning and Development, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 78 papers that have together received 493 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Geographic Information Systems Studies (8 papers) and 3D Modeling in Geospatial Applications (6 papers). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (142 citations) and Oral Surgery (41 citations). Adam Piórkowski has collaborated with scholars based in Poland, Egypt and Saudi Arabia. Frequent co-authors include Rafał Obuchowicz, Karolina Nurzyǹska, Mariusz Oszust, Aleksander Kempny, Andrzej Urbanik, Michał Strzelecki, Marzena Bielecka, Konstantinos Dimopoulos, Lorna Swan and Michael Α. Gatzoulis. Their work appears in journals such as Scientific Reports, ACS Applied Materials & Interfaces and Magnetic Resonance in Medicine.

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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