Berend Denkena

13.3k total citations · 2 hit papers
724 papers, 9.5k citations indexed

About

Berend Denkena is a scholar working on Mechanical Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Berend Denkena has authored 724 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 589 papers in Mechanical Engineering, 299 papers in Biomedical Engineering and 229 papers in Industrial and Manufacturing Engineering. Recurrent topics in Berend Denkena's work include Advanced machining processes and optimization (454 papers), Advanced Surface Polishing Techniques (275 papers) and Manufacturing Process and Optimization (154 papers). Berend Denkena is often cited by papers focused on Advanced machining processes and optimization (454 papers), Advanced Surface Polishing Techniques (275 papers) and Manufacturing Process and Optimization (154 papers). Berend Denkena collaborates with scholars based in Germany, Brazil and Japan. Berend Denkena's co-authors include Jens Köhler, Dirk Biermann, Thilo Grove, Bernd Breidenstein, David Dornfeld, G. Byrne, Marc-André Dittrich, Benjamin Bergmann, Arne Lucas and Carsten Schmidt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Berend Denkena

657 papers receiving 8.9k citations

Hit Papers

Advancing Cutting Technology 2003 2026 2010 2018 2003 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Berend Denkena Germany 40 7.6k 3.9k 2.5k 2.2k 1.4k 724 9.5k
I.S. Jawahir United States 58 10.3k 1.4× 4.8k 1.2× 2.2k 0.9× 4.0k 1.8× 1.4k 1.0× 252 13.2k
Danil Yurievich Pimenov Russia 56 7.5k 1.0× 2.4k 0.6× 1.7k 0.7× 3.9k 1.8× 924 0.7× 226 9.3k
Grzegorz Królczyk Poland 63 9.6k 1.3× 3.2k 0.8× 1.7k 0.7× 4.0k 1.8× 1.7k 1.2× 327 11.9k
P. Venkateswara Rao India 48 6.2k 0.8× 3.6k 0.9× 1.1k 0.4× 3.2k 1.5× 728 0.5× 193 7.4k
Zhanqiang Liu China 52 6.7k 0.9× 3.2k 0.8× 1.1k 0.4× 3.0k 1.4× 1.4k 1.0× 386 8.5k
Y. B. Guo United States 48 6.5k 0.9× 2.3k 0.6× 923 0.4× 1.9k 0.9× 991 0.7× 198 7.8k
Mozammel Mia Bangladesh 59 7.8k 1.0× 2.4k 0.6× 1.2k 0.5× 4.7k 2.1× 910 0.6× 153 8.9k
Munish Kumar Gupta India 68 12.5k 1.7× 4.5k 1.2× 2.1k 0.9× 6.0k 2.7× 1.6k 1.1× 420 15.9k
Chuanzhen Huang China 50 5.8k 0.8× 3.1k 0.8× 729 0.3× 1.3k 0.6× 1.6k 1.1× 347 9.1k
Steven Y. Liang United States 57 10.6k 1.4× 5.3k 1.4× 2.0k 0.8× 3.9k 1.8× 1.4k 1.0× 512 12.5k

Countries citing papers authored by Berend Denkena

Since Specialization
Citations

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

Fields of papers citing papers by Berend Denkena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berend Denkena

This figure shows the co-authorship network connecting the top 25 collaborators of Berend Denkena. A scholar is included among the top collaborators of Berend Denkena 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 Berend Denkena. Berend Denkena 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.
Denkena, Berend, et al.. (2025). Impact of microstructure and heat treatment on chip formation of Ti-5553 processed by laser powder bed fusion. Production Engineering. 19(6). 1163–1175. 1 indexed citations
2.
Dilger, Klaus, et al.. (2025). Data-Driven Prediction of Casting Defects in Magnesium High-Pressure Die Casting Using Machine Learning. International Journal of Metalcasting. 20(1). 112–131. 2 indexed citations
4.
Denkena, Berend, et al.. (2025). Effect of Bond Hardness of Additively Manufactured Grinding Tool Bonds on Material Removal Efficiency during Single-Grain Cutting. Journal of Materials Engineering and Performance. 34(9). 7508–7517.
5.
Kitagawa, Hiroshi, et al.. (2025). 3D geometry prediction for wall deposition using transfer learning in wire arc additive manufacturing. CIRP journal of manufacturing science and technology. 64. 1–14.
6.
Denkena, Berend, et al.. (2025). Influence of cooling lubricants on mechanical load at the cutting wedge using high-speed microcinematography and an open-contra rotation tribometer. CIRP journal of manufacturing science and technology. 58. 40–46.
7.
Breidenstein, Bernd, et al.. (2024). Application behavior of a piezo-actuated deep rolling tool. Procedia CIRP. 123. 346–351. 1 indexed citations
8.
Denkena, Berend, et al.. (2024). Simulation-based collision detection for CNC machining using sensor-based image recognition. Procedia CIRP. 126. 342–347.
9.
10.
Denkena, Berend, et al.. (2024). Modelling the influence of tool wear on shape errors in milling using a hybrid soft-sensor. Production Engineering. 19(1). 101–110.
11.
Denkena, Berend, et al.. (2024). Predicting CNC Machine Processing Times in Process Chains: A Grey Box Modelling Method. Procedia CIRP. 130. 276–281.
12.
Pape, Florian, et al.. (2024). Evaluating the Tribological Behaviour in Cutting Operations Using a Modified Ball-on-Disc Open Tribotester. Lubricants. 12(3). 77–77. 3 indexed citations
13.
Denkena, Berend, et al.. (2023). Energy efficient supply of cutting fluids in machining by utilizing flow rate control. CIRP Annals. 72(1). 349–352. 6 indexed citations
14.
Denkena, Berend, et al.. (2023). Process strategies for milling of dimples on tapered roller bearings. Production Engineering. 17(6). 893–905. 3 indexed citations
15.
Denkena, Berend, Bernd‐Arno Behrens, Ludger Overmeyer, et al.. (2023). Sensitivity of process signals to deviations in material distribution and material properties of hybrid workpieces. The International Journal of Advanced Manufacturing Technology. 130(5-6). 2649–2659. 1 indexed citations
16.
Pape, Florian, et al.. (2023). Tribological Effects of Metalworking Fluids in Cutting Processes. Lubricants. 11(5). 224–224. 11 indexed citations
17.
Denkena, Berend, et al.. (2021). Process design of a novel combination of peel grinding and deep rolling. Production Engineering. 16(4). 503–512. 1 indexed citations
18.
Dittrich, Marc-André, et al.. (2019). Simulation-based compensation of deflection errors in helical flute grinding. CIRP journal of manufacturing science and technology. 28. 136–143. 7 indexed citations
19.
Pape, Florian, et al.. (2017). Computational approach to improve bearings by residual stresses based on their required bearing fatigue life. International Journal of Computational Methods and Experimental Measurements. 6(4). 656–666. 1 indexed citations
20.
Denkena, Berend, et al.. (2003). Charakterisierung weißer Schichten nach mechanischer und thermischer Einwirkung durch Fertigungsverfahren. HTM Journal of Heat Treatment and Materials. 58(4). 211–217. 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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