Marcin Adamski
- Computer Vision and Pattern Recognition top 10%
- Reproductive Medicine top 10%
- Public Health, Environmental and Occupational Health
- Endocrinology, Diabetes and Metabolism
- Signal Processing
- Co-authors
- Khalid SaeedMarek TabędzkiMariusz RybnikAgnieszka AdamskaIrina KowalskaAgnieszka ŁebkowskaAdam KrętowskiAngelika Buczyńska
- Topics
- Handwritten Text Recognition Techniques (10 papers)Image Retrieval and Classification Techniques (7 papers)Ovarian function and disorders (6 papers)
- Partner nations
- Poland
In The Last Decade
Marcin Adamski
21 papers receiving 280 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 107
- Reproductive Medicine 89
- Public Health, Environmental and Occupational Health 42
- Endocrinology, Diabetes and Metabolism 42
- Signal Processing 31
Countries citing papers authored by Marcin Adamski
This map shows the geographic impact of Marcin Adamski'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 Marcin Adamski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Adamski more than expected).
Fields of papers citing papers by Marcin Adamski
This network shows the impact of papers produced by Marcin Adamski. 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 Marcin Adamski. The network helps show where Marcin Adamski may publish in the future.
Co-authorship network of co-authors of Marcin Adamski
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Adamski. A scholar is included among the top collaborators of Marcin Adamski 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 Marcin Adamski. Marcin Adamski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 37 | |
| 6 | 23 | |
| 7 | 24 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | OFFLINE SIGNATURE VERIFICATION BASED ON SHAPE CONTEXTS USING SHARED AND USER-SPECIFIC THRESHOLDS | 0 |
| 14 | 2 | |
| 15 | 125 | |
| 16 | OFFLINE SIGNATURE IDENTIFICATION AND VERIFICATION USING NONITERATIVE SHAPE CONTEXT ALGORITHM | 5 |
| 17 | SIGNATURE VERIFICATION USING CONTEXTUAL INFORMATION ENHANCEMENT AND DYNAMIC PROGRAMMING | 1 |
| 18 | 17 | |
| 19 | SIGNATURE IMAGE RECOGNITION BY SHAPE CONTEXT IMAGE MATCHING | 2 |
| 20 | A view-based approach for object recognition | 2 |
About Marcin Adamski
Marcin Adamski is a scholar working on Reproductive Medicine, Computer Vision and Pattern Recognition and Signal Processing, having authored 22 papers that have together received 302 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (10 papers), Image Retrieval and Classification Techniques (7 papers) and Ovarian function and disorders (6 papers). The work is most often cited by research in Reproductive Medicine (89 citations), Computer Vision and Pattern Recognition (107 citations) and Signal Processing (31 citations). Marcin Adamski has collaborated with scholars based in Poland. Frequent co-authors include Khalid Saeed, Marek Tabędzki, Mariusz Rybnik, Agnieszka Adamska, Irina Kowalska, Agnieszka Łebkowska, Adam Krętowski, Angelika Buczyńska, Edyta Adamska-Patruno and Maciej Szymkowski. Their work appears in journals such as IEEE Access, Nutrients and Information Sciences.
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.