Robert Lehmann

1.4k total citations
56 papers, 894 citations indexed

About

Robert Lehmann is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Robert Lehmann has authored 56 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Industrial and Manufacturing Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Robert Lehmann's work include Flexible and Reconfigurable Manufacturing Systems (8 papers), Network Time Synchronization Technologies (6 papers) and Electric Motor Design and Analysis (6 papers). Robert Lehmann is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (8 papers), Network Time Synchronization Technologies (6 papers) and Electric Motor Design and Analysis (6 papers). Robert Lehmann collaborates with scholars based in Germany, Saudi Arabia and Czechia. Robert Lehmann's co-authors include Ralf Steuer, Yvonne Zilliges, Sabrina Hoffmann, Henning Knoop, Wolfgang Lockau, Hanspeter Herzel, Ilka M. Axmann, Grigory Bordyugov, Damjana Rozman and Rok Košir and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Robert Lehmann

48 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Lehmann Germany 16 501 219 161 127 105 56 894
Chris Collet Australia 11 296 0.6× 227 1.0× 42 0.3× 91 0.7× 64 0.6× 16 783
Wolfgang Mages Germany 13 615 1.2× 291 1.3× 66 0.4× 32 0.3× 108 1.0× 18 884
Yuejin Zhang China 18 515 1.0× 250 1.1× 35 0.2× 24 0.2× 132 1.3× 69 1.4k
Shan Chi China 14 331 0.7× 79 0.4× 128 0.8× 112 0.9× 491 4.7× 51 963
Feifan Zhang China 18 254 0.5× 31 0.1× 57 0.4× 142 1.1× 36 0.3× 74 1.1k
Jürgen E.W. Polle United States 17 823 1.6× 660 3.0× 138 0.9× 28 0.2× 207 2.0× 22 1.5k
Mark W. Budde United States 10 626 1.2× 80 0.4× 44 0.3× 46 0.4× 37 0.4× 11 799
R. B. Moreton United Kingdom 26 792 1.6× 351 1.6× 152 0.9× 35 0.3× 102 1.0× 49 1.9k
Kazuichi Yoshida Japan 11 668 1.3× 159 0.7× 37 0.2× 46 0.4× 476 4.5× 21 1.2k
John Cumbers United States 8 416 0.8× 45 0.2× 102 0.6× 58 0.5× 47 0.4× 16 854

Countries citing papers authored by Robert Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Robert Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Lehmann

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Lehmann. A scholar is included among the top collaborators of Robert Lehmann 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 Robert Lehmann. Robert Lehmann 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.
Khan, Sameer, et al.. (2025). Multimodal foundation transformer models for multiscale genomics. Nature Methods. 23(2). 299–311.
2.
Lehmann, Robert, et al.. (2024). Investigation of Stator Cooling Concepts of an Electric Machine for Maximization of Continuous Power. SAE International Journal of Advances and Current Practices in Mobility. 7(3). 1187–1206. 1 indexed citations
3.
Schmidt, Uwe, et al.. (2024). Generation of Digital Twins for Exchanging Information via Application Programming Interfaces. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1–6.
4.
Lehmann, Robert, et al.. (2024). Kann Künstliche Intelligenz sozialarbeiterische Entscheidungsprozesse unterstützen?. OHMdok (Technische Hochschule Nürnberg). 76(7+8).
5.
Lehmann, Robert, et al.. (2024). Dynamic Multi-Message Broker for proactive Industry 4.0 Digital Twins. 6. 1–8. 1 indexed citations
6.
7.
Lehmann, Robert, et al.. (2023). HLA-based banking of induced pluripotent stem cells in Saudi Arabia. Stem Cell Research & Therapy. 14(1). 374–374. 11 indexed citations
8.
Khan, Sameer, Vincenzo Lagani, Robert Lehmann, et al.. (2023). Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers. Nature Machine Intelligence. 5(12). 1437–1446. 13 indexed citations
9.
Khan, Sameer, Robert Lehmann, Vincenzo Lagani, et al.. (2023). scAEGAN: Unification of single-cell genomics data by adversarial learning of latent space correspondences. PLoS ONE. 18(2). e0281315–e0281315. 4 indexed citations
10.
11.
Lehmann, Robert, Aleš Kovařı́k, Konrad Ocalewicz, et al.. (2021). DNA Transposon Expansion is Associated with Genome Size Increase in Mudminnows. Genome Biology and Evolution. 13(10). 11 indexed citations
12.
Lehmann, Robert, et al.. (2020). Fluid Choice Based on Thermal Model and Performance Testing for Direct Cooled Electric Drive. Energies. 13(22). 5867–5867. 9 indexed citations
13.
Bernal, Moisés A., Celia Schunter, Robert Lehmann, et al.. (2020). Species-specific molecular responses of wild coral reef fishes during a marine heatwave. Science Advances. 6(12). eaay3423–eaay3423. 63 indexed citations
14.
Stadler, Charlotte, Robert Lehmann, Janne Lehtiö, et al.. (2019). TcellSubC: An Atlas of the Subcellular Proteome of Human T Cells. Frontiers in Immunology. 10. 2708–2708. 16 indexed citations
15.
Lehmann, Robert, Damien J. Lightfoot, Celia Schunter, et al.. (2018). Finding Nemo’s Genes: A chromosome‐scale reference assembly of the genome of the orange clownfish Amphiprion percula. Molecular Ecology Resources. 19(3). 570–585. 38 indexed citations
16.
Schmelling, Nicolas, Robert Lehmann, Paushali Chaudhury, et al.. (2017). Minimal tool set for a prokaryotic circadian clock. BMC Evolutionary Biology. 17(1). 169–169. 46 indexed citations
17.
Lehmann, Robert, Rainer Machné, & Hanspeter Herzel. (2014). The structural code of cyanobacterial genomes. Nucleic Acids Research. 42(14). 8873–8883. 7 indexed citations
18.
Guerreiro, Ana C. L., Marco Benevento, Robert Lehmann, et al.. (2014). Daily Rhythms in the Cyanobacterium Synechococcus elongatus Probed by High-resolution Mass Spectrometry–based Proteomics Reveals a Small Defined Set of Cyclic Proteins. Molecular & Cellular Proteomics. 13(8). 2042–2055. 66 indexed citations
19.
Košir, Rok, et al.. (2014). Timing of circadian genes in mammalian tissues. Scientific Reports. 4(1). 5782–5782. 90 indexed citations
20.
Lehmann, Robert, Rainer Machné, Jens Georg, et al.. (2013). How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis. BMC Bioinformatics. 14(1). 133–133. 17 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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