H Hahn

11 total papers · 2.3k total citations
6 papers, 1.8k citations indexed

About

H Hahn is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, H Hahn has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in H Hahn's work include Medical Image Segmentation Techniques (3 papers), Advanced Radiotherapy Techniques (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). H Hahn is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Advanced Radiotherapy Techniques (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). H Hahn collaborates with scholars based in Germany, United States and United Kingdom. H Hahn's co-authors include Bruce Fischl, Florent Ségonne, Anders M. Dale, Evelina Busa, David H. Salat, Jan‐Martin Kuhnigk, Bernd Frericks, Hoen‐oh Shin, Christian Plathow and K. Baudendistel and has published in prestigious journals such as NeuroImage, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

H Hahn

6 papers receiving 1.8k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
H Hahn	949	644	477	216	204	6	1.8k
Salima Makni	1.1k 1.2×	1.1k 1.6×	282 0.6×	102 0.5×	146 0.7×	7	2.1k
Serge Kinkingnéhun	1.2k 1.3×	526 0.8×	592 1.2×	140 0.6×	331 1.6×	19	2.1k
Joo Hyun Song	627 0.7×	890 1.4×	193 0.4×	500 2.3×	137 0.7×	7	1.8k
D Rex	1.1k 1.2×	872 1.4×	420 0.9×	210 1.0×	167 0.8×	32	2.1k
AC Evans	1.3k 1.4×	524 0.8×	297 0.6×	89 0.4×	241 1.2×	14	2.2k
Diana Rosas	737 0.8×	557 0.9×	411 0.9×	50 0.2×	105 0.5×	7	1.5k
Christina Avedissian	564 0.6×	496 0.8×	517 1.1×	82 0.4×	172 0.8×	20	1.4k
Andrea D. Klunder	582 0.6×	675 1.0×	475 1.0×	127 0.6×	96 0.5×	23	1.4k
Tejal N. Mitchell	445 0.5×	459 0.7×	455 1.0×	87 0.4×	145 0.7×	14	1.6k
R. Allom	426 0.4×	435 0.7×	297 0.6×	100 0.5×	134 0.7×	15	1.3k

Countries citing papers authored by H Hahn

Since Specialization

Citations

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

Fields of papers citing papers by H Hahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of H Hahn. A scholar is included among the top collaborators of H Hahn 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 H Hahn. H Hahn 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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