Heinrich Schulz

51 total papers · 545 total citations
20 papers, 323 citations indexed

About

Heinrich Schulz is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Heinrich Schulz has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in Heinrich Schulz's work include Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Heinrich Schulz is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Heinrich Schulz collaborates with scholars based in Germany, United States and Netherlands. Heinrich Schulz's co-authors include Anand Viswanathan, Jochen Krücker, Sheng Xu, Neil Glossop, Jörn Borgert, Bradford J. Wood, Irina Fedulova, Bart Bakker, Dmitry V. Dylov and Steffen Renisch and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Heinrich Schulz

18 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Heinrich Schulz	132	103	77	72	57	20	323
Johanne Bézy‐Wendling	182 1.4×	58 0.6×	77 1.0×	42 0.6×	19 0.3×	34	331
Baochun He	193 1.5×	103 1.0×	128 1.7×	48 0.7×	72 1.3×	24	352
Pascal Schreck	35 0.3×	64 0.6×	66 0.9×	52 0.7×	41 0.7×	32	317
Grzegorz Chlebus	211 1.6×	61 0.6×	108 1.4×	118 1.6×	12 0.2×	9	314
Matthias Thorn	115 0.9×	75 0.7×	89 1.2×	24 0.3×	134 2.4×	18	349
Akshat Gotra	135 1.0×	45 0.4×	87 1.1×	60 0.8×	90 1.6×	13	321
Ruida Cheng	106 0.8×	143 1.4×	94 1.2×	43 0.6×	34 0.6×	14	307
Matteo Pepa	152 1.2×	74 0.7×	46 0.6×	42 0.6×	25 0.4×	33	324
Paul F. Hemler	146 1.1×	88 0.9×	132 1.7×	17 0.2×	18 0.3×	38	306
László Ruskó	139 1.1×	65 0.6×	167 2.2×	77 1.1×	21 0.4×	23	289

Countries citing papers authored by Heinrich Schulz

Since Specialization

Citations

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

Fields of papers citing papers by Heinrich Schulz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinrich Schulz

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