Benjamin Lutz

686 total citations
29 papers, 526 citations indexed

About

Benjamin Lutz is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Molecular Biology. According to data from OpenAlex, Benjamin Lutz has authored 29 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 13 papers in Industrial and Manufacturing Engineering and 9 papers in Molecular Biology. Recurrent topics in Benjamin Lutz's work include Advanced machining processes and optimization (9 papers), Industrial Vision Systems and Defect Detection (9 papers) and Protein Structure and Dynamics (6 papers). Benjamin Lutz is often cited by papers focused on Advanced machining processes and optimization (9 papers), Industrial Vision Systems and Defect Detection (9 papers) and Protein Structure and Dynamics (6 papers). Benjamin Lutz collaborates with scholars based in Germany, Sweden and France. Benjamin Lutz's co-authors include Raven T. Reisch, Jörg Franke, Tobias Hauser, Tobias Kamps, Andreas Mayr, Alexander Schug, Abhinav Verma, Joerg Volpp, Alexander Kaplan and Alois Knoll and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Bioinformatics.

In The Last Decade

Benjamin Lutz

28 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Lutz Germany	12	313	189	119	76	59	29	526
Martin Riedler Austria	12	166 0.5×	42 0.2×	33 0.3×	60 0.8×	15 0.3×	29	424
Jean-Claude Léon France	14	72 0.2×	151 0.8×	27 0.2×	134 1.8×	9 0.2×	50	563
Attila Szabó Hungary	9	152 0.5×	21 0.1×	55 0.5×	10 0.1×	40 0.7×	45	392
Yuzhou Zhang China	9	120 0.4×	53 0.3×	22 0.2×	33 0.4×	69 1.2×	27	255
Fan Jia China	12	129 0.4×	46 0.2×	92 0.8×	11 0.1×	29 0.5×	37	515
Clayton Cooper United States	8	235 0.8×	120 0.6×	84 0.7×	3 0.0×	50 0.8×	14	368
Vignesh Sampath India	7	157 0.5×	80 0.4×	11 0.1×	6 0.1×	28 0.5×	10	379
Xu Ma China	10	133 0.4×	26 0.1×	21 0.2×	8 0.1×	30 0.5×	44	511
Zhengxue Zhou Denmark	9	87 0.3×	49 0.3×	18 0.2×	12 0.2×	26 0.4×	16	345

Countries citing papers authored by Benjamin Lutz

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Lutz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Lutz

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

All Works

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20 of 20 papers shown

Lutz, Benjamin, et al.. (2023). Interactive Image Segmentation Using Superpixels and Deep Metric Learning for Tool Condition Monitoring. Procedia CIRP. 118. 459–464. 2 indexed citations

Reisch, Raven T., et al.. (2022). Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human–robot collaboration scenario. Frontiers in Robotics and AI. 9. 943261–943261. 5 indexed citations

Lutz, Benjamin, et al.. (2021). Material Identification for Smart Manufacturing Systems: A Review. 353–360. 2 indexed citations

Lutz, Benjamin, et al.. (2021). Towards Material-Batch-Aware Tool Condition Monitoring. Journal of Manufacturing and Materials Processing. 5(4). 103–103. 3 indexed citations

Lutz, Benjamin, et al.. (2021). Automated Domain Adaptation in Tool Condition Monitoring using Generative Adversarial Networks. 1326–1331. 1 indexed citations

Lutz, Benjamin, et al.. (2020). A human-cyber-physical system approach to lean automation using an industrie 4.0 reference architecture. Procedia Manufacturing. 51. 1082–1090. 19 indexed citations

Lutz, Benjamin, et al.. (2020). Benchmark of Automated Machine Learning with State-of-the-Art Image Segmentation Algorithms for Tool Condition Monitoring. Procedia Manufacturing. 51. 215–221. 9 indexed citations

Lutz, Benjamin, et al.. (2020). AI-based Approach for Predicting the Machinability under Consideration of Material Batch Deviations in Turning Processes. Procedia CIRP. 93. 1382–1387. 4 indexed citations

Mayr, Andreas, et al.. (2019). Elektromotorenproduktion 4.0. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 114(3). 145–149. 3 indexed citations

10.

Mayr, Andreas, et al.. (2019). Machine Learning in Production – Potentials, Challenges and Exemplary Applications. Procedia CIRP. 86. 49–54. 55 indexed citations

11.

Lutz, Benjamin, et al.. (2019). Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring. mediaTUM (Technical University of Munich). 2008–2013. 16 indexed citations

12.

Mayr, Andreas, et al.. (2018). Evaluation of Machine Learning for Quality Monitoring of Laser Welding Using the Example of the Contacting of Hairpin Windings. 1–7. 50 indexed citations

13.

Lutz, Benjamin, et al.. (2016). RNA Secondary and Tertiary Structure Prediction by Tracing Nucleotide Co-Evolution with Direct Coupling Analysis. Biophysical Journal. 110(3). 364a–364a. 2 indexed citations

14.

Lutz, Benjamin, et al.. (2015). Protein and RNA Structure Prediction by Integration of Co-Evolutionary Information into Molecular Simulation. Biophysical Journal. 108(2). 13a–14a. 1 indexed citations

15.

Lutz, Benjamin, et al.. (2014). Native structure-based modeling and simulation of biomolecular systems per mouse click. BMC Bioinformatics. 15(1). 292–292. 5 indexed citations

16.

Sinner, Claude, et al.. (2014). Simulating Biomolecular Folding and Function by Native‐Structure‐Based/Go‐Type Models. Israel Journal of Chemistry. 54(8-9). 1165–1175. 9 indexed citations

17.

Lutz, Benjamin, et al.. (2013). eSBMTools 1.0: enhanced native structure-based modeling tools. Bioinformatics. 29(21). 2795–2796. 25 indexed citations

18.

Sinner, Claude, Benjamin Lutz, Abhinav Verma, & Alexander Schug. (2013). Analyzing Protein Folding by High-throughput Simulations. Biophysical Journal. 104(2). 398a–398a. 1 indexed citations

19.

Lutz, Benjamin, et al.. (2013). Differences between cotranscriptional and free riboswitch folding. Nucleic Acids Research. 42(4). 2687–2696. 30 indexed citations

20.

Lutz, Benjamin, et al.. (2013). Approach for integrated simulation based on plant engineering data. 1–4. 10 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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