Maximilian A. Springer

645 total citations
10 papers, 499 citations indexed

About

Maximilian A. Springer is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Mechanical Engineering. According to data from OpenAlex, Maximilian A. Springer has authored 10 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Mechanical Engineering. Recurrent topics in Maximilian A. Springer's work include Covalent Organic Framework Applications (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (2 papers). Maximilian A. Springer is often cited by papers focused on Covalent Organic Framework Applications (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (2 papers). Maximilian A. Springer collaborates with scholars based in Germany, Switzerland and South Korea. Maximilian A. Springer's co-authors include Thomas Heine, Agnieszka Kuc, Christof Wöll, Rosalba Juarez‐Mosqueda, Samrat Ghosh, Ryu Abe, Igor A. Baburin, Hironori Kaji, Shu Seki and Katsuaki Suzuki and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Functional Materials.

In The Last Decade

Maximilian A. Springer

10 papers receiving 493 citations

Peers

Maximilian A. Springer

MC

IC

RESE

EEE

AMPO

M. Alexander Ardagh United States

Ryunosuke Hayashi Japan

Yaroslav S. Kochergin Czechia

Seung-yeon Lee South Korea

Sajjad Hussain China

Víctor Posligua United Kingdom

Yejing Liu Singapore

Petr Šot Switzerland

Qing‐Na Zheng China

M. Alexander Ardagh United States

Maximilian A. Springer

379 ×0.9

MC

90 ×0.4

IC

304 ×1.5

RESE

147 ×2.2

EEE

37 ×0.8

AMPO

Citations per year, relative to Maximilian A. Springer Maximilian A. Springer (= 1×) peers M. Alexander Ardagh

Countries citing papers authored by Maximilian A. Springer

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian A. Springer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian A. Springer

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

All Works

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10 of 10 papers shown

1.

Mazitov, Arslan, et al.. (2024). Surface segregation in high-entropy alloys from alchemical machine learning. Journal of Physics Materials. 7(2). 25007–25007. 10 indexed citations

2.

Fraux, Guillaume, et al.. (2023). Modeling high-entropy transition metal alloys with alchemical compression. Physical Review Materials. 7(4). 35 indexed citations

3.

Springer, Maximilian A., et al.. (2021). Semimetallic square-octagon two-dimensional polymer with high mobility. Physical review. B.. 104(20). 3 indexed citations

4.

Springer, Maximilian A., et al.. (2021). Rational Design of Two-Dimensional Binary Polymers from Heterotriangulenes for Photocatalytic Water Splitting. The Journal of Physical Chemistry Letters. 12(33). 8134–8140. 42 indexed citations

5.

Springer, Maximilian A., et al.. (2020). A highly efficient red-emitting luminescent paper-based chemosensor for hydrogen sulfide. Chemical Communications. 56(42). 5605–5608. 12 indexed citations

6.

Ghosh, Samrat, Akinobu Nakada, Maximilian A. Springer, et al.. (2020). Identification of Prime Factors to Maximize the Photocatalytic Hydrogen Evolution of Covalent Organic Frameworks. Journal of the American Chemical Society. 142(21). 9752–9762. 158 indexed citations

7.

Menzel, Jan P., et al.. (2020). Lithium, sodium, potassium and calcium amine-bis(phenolate) complexes in the ring-opening polymerization of rac-lactide. Dalton Transactions. 49(5). 1531–1544. 29 indexed citations

8.

Springer, Maximilian A., et al.. (2020). Topological two-dimensional polymers. Chemical Society Reviews. 49(7). 2007–2019. 112 indexed citations

9.

Kuc, Agnieszka, et al.. (2020). Proximity Effect in Crystalline Framework Materials: Stacking‐Induced Functionality in MOFs and COFs. Advanced Functional Materials. 30(41). 95 indexed citations

10.

Wang, Lejing, et al.. (2010). Floyd-Warshall all-pair shortest path for accurate multi-marker calibration. 277–278. 3 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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