Maximilian Schulz

25 total papers · 797 total citations
17 papers, 524 citations indexed

About

Maximilian Schulz is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Maximilian Schulz has authored 17 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Maximilian Schulz's work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Quantum many-body systems (4 papers). Maximilian Schulz is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Quantum many-body systems (4 papers). Maximilian Schulz collaborates with scholars based in Germany, United Kingdom and Italy. Maximilian Schulz's co-authors include Frank Pollmann, C. Hooley, R. Moessner, Götz Thomalla, Bastian Cheng, Scott R. Taylor, Roderich Moessner, Ε. Hahne, Marvin Petersen and Benedikt M. Frey and has published in prestigious journals such as Physical Review Letters, Solar Energy and BMC Medicine.

In The Last Decade

Maximilian Schulz

17 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Maximilian Schulz	243	98	75	65	65	17	524
Dan Xiang	75 0.3×	62 0.6×	37 0.5×	17 0.3×	47 0.7×	55	526
W. Klonowski	24 0.1×	45 0.5×	16 0.2×	125 1.9×	10 0.2×	23	465
Barbara Schäpers	189 0.8×	139 1.4×	18 0.2×	18 0.3×	72 1.1×	21	476
Braden A. W. Brinkman	14 0.1×	149 1.5×	32 0.4×	298 4.6×	68 1.0×	17	602
H. K. V. Lotsch	294 1.2×	17 0.2×	3 0.0×	17 0.3×	281 4.3×	30	587
Shen Yan	140 0.6×	32 0.3×	5 0.1×	89 1.4×	106 1.6×	34	456
Marc Benayoun	18 0.1×	140 1.4×	4 0.1×	241 3.7×	41 0.6×	18	448
D. B. Heppner	28 0.1×	23 0.2×	2 0.0×	187 2.9×	98 1.5×	23	533
E. Ducla‐Soares	20 0.1×	19 0.2×	17 0.2×	212 3.3×	8 0.1×	22	510
Panagiotis Vartholomeos	33 0.1×	7 0.1×	214 2.9×	7 0.1×	77 1.2×	36	553

Countries citing papers authored by Maximilian Schulz

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian Schulz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Schulz

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