Eva Weicken

675 total citations
6 papers, 168 citations indexed

About

Eva Weicken is a scholar working on Health Informatics, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Eva Weicken has authored 6 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Informatics, 2 papers in Artificial Intelligence and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Eva Weicken's work include Artificial Intelligence in Healthcare and Education (4 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Eva Weicken is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Eva Weicken collaborates with scholars based in Germany, United States and Australia. Eva Weicken's co-authors include Markus Wenzel, Ville‐Petteri Mäkinen, Enrico Coiera, Aaron Casey, Wendy Rogers, Sandeep Reddy, Piyush Mathur, Jackie Ma, Nils Strodthoff and Rasmus Adler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Image Analysis and Multiple Sclerosis Journal.

In The Last Decade

Eva Weicken

5 papers receiving 159 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Weicken Germany	5	81	68	48	27	21	6	168
Sum Yi Wong Hong Kong	3	108 1.3×	84 1.2×	69 1.4×	41 1.5×	13 0.6×	4	250
Rizwan Rehman India	4	47 0.6×	91 1.3×	49 1.0×	17 0.6×	6 0.3×	12	185
Mingyang Chen China	7	105 1.3×	71 1.0×	58 1.2×	16 0.6×	23 1.1×	19	216
Zongming Zhang China	6	128 1.6×	53 0.8×	65 1.4×	18 0.7×	42 2.0×	15	252
Ashwin Nayak United States	8	101 1.2×	96 1.4×	37 0.8×	25 0.9×	20 1.0×	9	235
Rachel Lea Draelos United States	7	41 0.5×	109 1.6×	59 1.2×	12 0.4×	9 0.4×	9	227
Andrea Beretta Italy	7	67 0.8×	103 1.5×	35 0.7×	17 0.6×	7 0.3×	10	217
Liangyuan Na United States	3	82 1.0×	101 1.5×	49 1.0×	30 1.1×	41 2.0×	4	246
Mehul Gupta Canada	5	109 1.3×	93 1.4×	42 0.9×	16 0.6×	18 0.9×	7	202

Countries citing papers authored by Eva Weicken

Since Specialization

Citations

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

Fields of papers citing papers by Eva Weicken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Weicken

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

All Works

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6 of 6 papers shown

1.

Weicken, Eva, Mirja Mittermaier, Thomas Hoeren, et al.. (2025). Schwerpunkt künstliche Intelligenz in der Medizin – rechtliche Aspekte bei der Nutzung großer Sprachmodelle im klinischen Alltag. Die Innere Medizin. 66(4). 436–441.

2.

Gilbert, Stephen, et al.. (2025). Could transparent model cards with layered accessible information drive trust and safety in health AI?. npj Digital Medicine. 8(1). 124–124. 7 indexed citations

3.

Inojosa, Hernán, Isabel Voigt, Dyke Ferber, et al.. (2024). Integrating large language models in care, research, and education in multiple sclerosis management. Multiple Sclerosis Journal. 30(11-12). 1392–1401. 7 indexed citations

4.

Wenzel, Markus, et al.. (2023). From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology. Medical Image Analysis. 87. 102809–102809. 47 indexed citations

5.

Farlow, Andrew, Girmaw Abebe Tadesse, Eva Weicken, et al.. (2023). Rethinking global digital health and AI-for-health innovation challenges. SHILAP Revista de lepidopterología. 3(4). e0001844–e0001844. 8 indexed citations

6.

Reddy, Sandeep, Wendy Rogers, Ville‐Petteri Mäkinen, et al.. (2021). Evaluation framework to guide implementation of AI systems into healthcare settings. BMJ Health & Care Informatics. 28(1). e100444–e100444. 99 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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