Robert Kaczmarczyk
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
Papers in
-
- COVID-19 diagnosis using AI 5
- Radiomics and Machine Learning in Medical Imaging 3
-
- Dermatology and Skin Diseases 3
- Cutaneous lymphoproliferative disorders research 3
- Co-authors
- Lina Mosch (1 shared paper)Beatriz Atienza-Carbonell (1 shared paper)Alexander Zink (12 shared papers)Tilo Biedermann (9 shared papers)Anna Balato (1 shared paper)Maximilian Schielein (2 shared papers)Emanuele Scala (1 shared paper)Tobias Lasser (2 shared papers)
- Journals
- Journal of Medical Internet Research (3 papers)Journal of the European Academy of Dermatology and Venereology (2 papers)Dermatologic Therapy (1 paper)World Allergy Organization Journal (1 paper)JDDG Journal der Deutschen Dermatologischen Gesellschaft (1 paper)
- Partner nations
- GermanySwedenSwitzerland
In The Last Decade
Robert Kaczmarczyk
19 papers receiving 358 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 179
- Family Practice 21
- Health Information Management 25
- Health 38
- Radiology, Nuclear Medicine and Imaging 80
Countries citing papers authored by Robert Kaczmarczyk
This map shows the geographic impact of Robert Kaczmarczyk'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 Robert Kaczmarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Kaczmarczyk more than expected).
Fields of papers citing papers by Robert Kaczmarczyk
This network shows the impact of papers produced by Robert Kaczmarczyk. 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 Robert Kaczmarczyk. The network helps show where Robert Kaczmarczyk may publish in the future.
Co-authors
The 15 scholars most cited alongside Robert Kaczmarczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 130 | |
| 2 | 2023 | 82 | |
| 3 | 2023 | 65 | |
| 4 | 2024 | 22 | |
| 5 | 2023 | 14 | |
| 6 | 2024 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 0 |
About Robert Kaczmarczyk
Robert Kaczmarczyk is a scholar working on Radiology, Nuclear Medicine and Imaging, Dermatology, Health Informatics, Oncology and General Health Professions, having authored 21 papers that have together received 370 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), COVID-19 diagnosis using AI (5 papers), Cutaneous Melanoma Detection and Management (5 papers), Dermatology and Skin Diseases (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Health Informatics (179 citations), Family Practice (21 citations), Health Information Management (25 citations), Health (38 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). Robert Kaczmarczyk has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Lina Mosch, Beatriz Atienza-Carbonell, Alexander Zink, Tilo Biedermann, Anna Balato, Maximilian Schielein, Emanuele Scala, Tobias Lasser, Linda Tizek and Daniel Rueckert. Their work appears in journals such as Journal of Medical Internet Research, Journal of the European Academy of Dermatology and Venereology, Dermatologic Therapy, World Allergy Organization Journal and JDDG Journal der Deutschen Dermatologischen Gesellschaft.
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.