Katja Jarm

874 total citations
15 papers, 109 citations indexed

About

Katja Jarm is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Katja Jarm has authored 15 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Katja Jarm's work include Global Cancer Incidence and Screening (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (5 papers). Katja Jarm is often cited by papers focused on Global Cancer Incidence and Screening (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (5 papers). Katja Jarm collaborates with scholars based in Slovenia, United States and Belgium. Katja Jarm's co-authors include Tina Žagar, Maja Primic Žakelj, Urška Ivanuš, Vesna Zadnik, Carlo Senore, Nicolien T. van Ravesteyn, Mateja Krajc, Sirpa Heinävaara, Harry J. de Koning and Vesna Zadnik and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Oncology.

In The Last Decade

Katja Jarm

12 papers receiving 108 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katja Jarm Slovenia 5 65 24 19 17 15 15 109
Rupert Alison United Kingdom 7 97 1.5× 29 1.2× 26 1.4× 15 0.9× 15 1.0× 9 135
Jessica Xin Hjaltelin Denmark 6 82 1.3× 19 0.8× 38 2.0× 24 1.4× 7 0.5× 12 177
Zoubida Zaidi Algeria 6 61 0.9× 21 0.9× 28 1.5× 9 0.5× 8 0.5× 17 131
Dhruv Puri United States 6 133 2.0× 26 1.1× 32 1.7× 20 1.2× 16 1.1× 35 256
Freddy Houéhanou Rodrigue Gnangnon Benin 7 74 1.1× 21 0.9× 29 1.5× 3 0.2× 18 1.2× 31 127
Gianfranco Manneschi Italy 9 163 2.5× 29 1.2× 51 2.7× 12 0.7× 7 0.5× 16 203
Shoni Philpot Australia 8 74 1.1× 42 1.8× 9 0.5× 32 1.9× 16 1.1× 22 160
Jeffrey S. Mohlman United States 5 32 0.5× 15 0.6× 9 0.5× 31 1.8× 24 1.6× 10 120
Weang-Kee Ho Malaysia 7 96 1.5× 55 2.3× 8 0.4× 51 3.0× 18 1.2× 15 178
Rosa Vattiato Italy 7 119 1.8× 19 0.8× 31 1.6× 8 0.5× 11 0.7× 26 179

Countries citing papers authored by Katja Jarm

Since Specialization
Citations

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

Fields of papers citing papers by Katja Jarm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Jarm

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Jarm. A scholar is included among the top collaborators of Katja Jarm 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 Katja Jarm. Katja Jarm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Wagner, Tobias, Lesley Cockmartin, Nicholas Marshall, et al.. (2025). Impact of pectoral muscle removal on deep-learning-based breast cancer risk prediction. Physics in Medicine and Biology. 70(5). 55006–55006. 1 indexed citations
2.
Wagner, Tobias, Lesley Cockmartin, Nicholas Marshall, et al.. (2025). Sensitivity of a deep-learning-based breast cancer risk prediction model. Physics in Medicine and Biology. 70(8). 85014–85014.
3.
Wagner, Tobias, Lesley Cockmartin, Nicholas Marshall, et al.. (2024). Longitudinal interpretability of deep learning based breast cancer risk prediction. Physics in Medicine and Biology. 70(1). 15001–15001. 4 indexed citations
4.
Wagner, Tobias, Lesley Cockmartin, Nicholas Marshall, et al.. (2024). Longitudinal interpretability of deep learning-based breast cancer risk prediction model: comparison of different attribution methods. Lirias (KU Leuven). 34–34. 2 indexed citations
5.
Wagner, Tobias, Lesley Cockmartin, Nicholas Marshall, et al.. (2023). Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout. Physics in Medicine and Biology. 68(11). 115007–115007. 13 indexed citations
6.
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8.
Zielonke, N., Eveline A.M. Heijnsdijk, Sirpa Heinävaara, et al.. (2021). Extending Age Ranges in Breast Cancer Screening in Four European Countries: Model Estimations of Harm-to-Benefit Ratios. Cancers. 13(13). 3360–3360. 7 indexed citations
9.
Jarm, Katja, Maksimiljan Kadivec, Maja Primic Žakelj, et al.. (2021). Quality assured implementation of the Slovenian breast cancer screening programme. PLoS ONE. 16(10). e0258343–e0258343. 5 indexed citations
10.
Armaroli, Paola, Emilia Riggi, Partha Basu, et al.. (2020). Performance indicators in breast cancer screening in the European Union: A comparison across countries of screen positivity and detection rates. International Journal of Cancer. 147(7). 1855–1863. 4 indexed citations
11.
Jarm, Katja, et al.. (2020). Deset let Državnega presejalnega programa za raka dojk DORA. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Zakotnik, Branko, Vesna Zadnik, Tina Žagar, et al.. (2019). Reaching sustainable oncology care via the National Cancer Control Program (NCCP). Annals of Oncology. 30. v673–v673. 3 indexed citations
13.
Turnbull, Eleanor, Jennifer Priaulx, Nicolien T. van Ravesteyn, et al.. (2018). A health systems approach to identifying barriers to breast cancer screening programmes. Methodology and application in six European countries. Health Policy. 122(11). 1198–1205. 11 indexed citations
14.
Zadnik, Vesna, Maja Primic Žakelj, Katja Jarm, & Tina Žagar. (2017). Time trends and spatial patterns in the mesothelioma incidence in Slovenia, 1961–2014. European Journal of Cancer Prevention. 26. S191–S196. 2 indexed citations
15.
Zadnik, Vesna, et al.. (2017). Cancer burden in slovenia with the time trends analysis. Radiology and Oncology. 51(1). 47–55. 56 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.

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