Jörg Riesmeier

31 total papers · 557 total citations
13 papers, 285 citations indexed

About

Jörg Riesmeier is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jörg Riesmeier has authored 13 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Jörg Riesmeier's work include Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jörg Riesmeier is often cited by papers focused on Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jörg Riesmeier collaborates with scholars based in Germany, United States and Hungary. Jörg Riesmeier's co-authors include Marco Eichelberg, Gökçe Banu Laleci Ertürkmen, Thomas Aden, Asuman Doğaç, Michael D. Onken, Bartley Brown, John M. Buatti, David Clunie, Christian Bauer and Steve Pieper and has published in prestigious journals such as ACM Computing Surveys, Journal of the American Medical Informatics Association and PeerJ.

In The Last Decade

Jörg Riesmeier

12 papers receiving 262 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jörg Riesmeier	102	94	61	57	56	13	285
Deepika Gopukumar	85 0.8×	98 1.0×	39 0.6×	66 1.2×	27 0.5×	6	313
Jafar Habibi	113 1.1×	135 1.4×	24 0.4×	35 0.6×	70 1.3×	25	310
Duane Bender	126 1.2×	95 1.0×	20 0.3×	62 1.1×	53 0.9×	5	317
Negar Maleki	39 0.4×	135 1.4×	73 1.2×	23 0.4×	40 0.7×	9	298
Yaron Denekamp	90 0.9×	77 0.8×	44 0.7×	53 0.9×	40 0.7×	21	289
Fatemeh Navidi	127 1.2×	70 0.7×	29 0.5×	19 0.3×	31 0.6×	8	292
Suvendu Kumar Mohapatra	74 0.7×	72 0.8×	55 0.9×	15 0.3×	40 0.7×	12	290
Hamdan O. Alanazi	63 0.6×	97 1.0×	35 0.6×	13 0.2×	60 1.1×	12	305
Julian Saß	79 0.8×	61 0.6×	41 0.7×	56 1.0×	41 0.7×	13	318
Jimison Iavindrasana	24 0.2×	110 1.2×	49 0.8×	40 0.7×	32 0.6×	18	314

Countries citing papers authored by Jörg Riesmeier

Since Specialization

Citations

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

Fields of papers citing papers by Jörg Riesmeier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Riesmeier

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

All Works

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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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