Maximilian Schmidt

1.8k total citations
21 papers, 840 citations indexed

About

Maximilian Schmidt is a scholar working on Cognitive Neuroscience, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Maximilian Schmidt has authored 21 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Plant Science and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Maximilian Schmidt's work include Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (5 papers) and Functional Brain Connectivity Studies (5 papers). Maximilian Schmidt is often cited by papers focused on Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (5 papers) and Functional Brain Connectivity Studies (5 papers). Maximilian Schmidt collaborates with scholars based in Germany, Japan and Netherlands. Maximilian Schmidt's co-authors include Markus Diesmann, Sacha J. van Albada, Björn Usadel, Rembrandt Bakker, Alexander Vogel, Alisandra K. Denton, Marie Bolger, Anthony Bolger, Gleb Bezgin and Claus C. Hilgetag and has published in prestigious journals such as Nature Communications, The Plant Cell and The Plant Journal.

In The Last Decade

Maximilian Schmidt

20 papers receiving 823 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maximilian Schmidt Germany 13 304 257 254 207 100 21 840
Marco Vilela United States 15 110 0.4× 127 0.5× 420 1.7× 51 0.2× 243 2.4× 20 806
Guifen Chen China 12 176 0.6× 230 0.9× 143 0.6× 224 1.1× 87 0.9× 60 1.1k
Wen‐Jia Yang China 23 268 0.9× 77 0.3× 730 2.9× 15 0.1× 182 1.8× 121 1.5k
Xinxin Wang China 16 122 0.4× 65 0.3× 97 0.4× 206 1.0× 64 0.6× 65 801
Ning Yu China 20 24 0.1× 215 0.8× 355 1.4× 31 0.1× 46 0.5× 96 1.1k
Wenze Li United States 14 138 0.5× 51 0.2× 294 1.2× 30 0.1× 190 1.9× 45 909
Matthew Hartley United Kingdom 15 458 1.5× 45 0.2× 506 2.0× 22 0.1× 21 0.2× 54 920
Takashi Suzuki Japan 20 70 0.2× 16 0.1× 500 2.0× 138 0.7× 463 4.6× 85 1.2k
Daniel Lobo United States 16 328 1.1× 72 0.3× 694 2.7× 11 0.1× 169 1.7× 36 875

Countries citing papers authored by Maximilian Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Schmidt

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

All Works

20 of 20 papers shown
1.
Mari, Rebecca Serra, Richard Finkers, Paul Arens, et al.. (2024). Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data. Genome biology. 25(1). 26–26. 11 indexed citations
2.
Nemati, Zahra, et al.. (2024). Metabolomic and transcriptomic analyses of yellow-flowered crocuses to infer alternative sources of saffron metabolites. BMC Plant Biology. 24(1). 369–369. 1 indexed citations
3.
4.
5.
Sosa, Pedro Miguel, et al.. (2023). Shear Resistance of Members Without Shear Reinforcement in Presence of Axial Forces in the Next Eurocode 2. Hormigón y Acero. 1 indexed citations
6.
Schmidt, Maximilian, Yazhong Wang, Bruno Hüettel, et al.. (2022). A chromosome scale tomato genome built from complementary PacBio and Nanopore sequences alone reveals extensive linkage drag during breeding. The Plant Journal. 110(2). 572–588. 43 indexed citations
7.
Jordan, Jakob, Maximilian Schmidt, Walter Senn, & Mihai A. Petrovici. (2021). Evolving interpretable plasticity for spiking networks. eLife. 10. 17 indexed citations
8.
Vilanova, Santiago, David Alonso, Pietro Gramazio, et al.. (2020). SILEX: a fast and inexpensive high-quality DNA extraction method suitable for multiple sequencing platforms and recalcitrant plant species. Plant Methods. 16(1). 110–110. 39 indexed citations
9.
Schmidt, Maximilian, et al.. (2020). Oxford Nanopore sequencing: new opportunities for plant genomics?. Journal of Experimental Botany. 71(18). 5313–5322. 48 indexed citations
10.
Schmidt, Maximilian & Jakob Jordan. (2020). hal-cgp: Cartesian genetic programming in pure Python.. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Vogel, Alexander, Rainer Schwacke, Alisandra K. Denton, et al.. (2018). Footprints of parasitism in the genome of the parasitic flowering plant Cuscuta campestris. Nature Communications. 9(1). 2515–2515. 129 indexed citations
12.
Schmidt, Maximilian, Rembrandt Bakker, Kelly Shen, et al.. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Computational Biology. 14(10). e1006359–e1006359. 73 indexed citations
13.
Albada, Sacha J. van, Andrew Rowley, Johanna Senk, et al.. (2018). Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model. Frontiers in Neuroscience. 12. 291–291. 98 indexed citations
14.
Schmidt, Maximilian, Alexander Vogel, Alisandra K. Denton, et al.. (2017). De Novo Assembly of a New Solanum pennellii Accession Using Nanopore Sequencing. The Plant Cell. 29(10). 2336–2348. 138 indexed citations
15.
Schmidt, Maximilian, Rembrandt Bakker, Claus C. Hilgetag, Markus Diesmann, & Sacha J. van Albada. (2017). Multi-scale account of the network structure of macaque visual cortex. Brain Structure and Function. 223(3). 1409–1435. 60 indexed citations
16.
Schuecker, Jannis, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, & Moritz Helias. (2017). Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Computational Biology. 13(2). e1005179–e1005179. 16 indexed citations
17.
Schäfer, Pascal M., Martin Fuchs, Paul McKeown, et al.. (2017). Highly Active N,O Zinc Guanidine Catalysts for the Ring‐Opening Polymerization of Lactide. ChemSusChem. 10(18). 3547–3556. 65 indexed citations
18.
Kunkel, Susanne, Maximilian Schmidt, Jochen Martin Eppler, et al.. (2014). Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics. 8. 78–78. 64 indexed citations
19.
Schmidt, Maximilian, Sacha J. van Albada, Jochen Martin Eppler, et al.. (2013). VisNEST — Interactive analysis of neural activity data. 65–72. 20 indexed citations
20.
Kunkel, Susanne, Maximilian Schmidt, Jochen Martin Eppler, et al.. (2013). From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations. BMC Neuroscience. 14(S1). 2 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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