Max Weeber

815 total citations
33 papers, 602 citations indexed

About

Max Weeber is a scholar working on Industrial and Manufacturing Engineering, Renewable Energy, Sustainability and the Environment and Automotive Engineering. According to data from OpenAlex, Max Weeber has authored 33 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 12 papers in Renewable Energy, Sustainability and the Environment and 11 papers in Automotive Engineering. Recurrent topics in Max Weeber's work include Energy Efficiency and Management (11 papers), Advanced Battery Technologies Research (10 papers) and Manufacturing Process and Optimization (9 papers). Max Weeber is often cited by papers focused on Energy Efficiency and Management (11 papers), Advanced Battery Technologies Research (10 papers) and Manufacturing Process and Optimization (9 papers). Max Weeber collaborates with scholars based in Germany, Brazil and Australia. Max Weeber's co-authors include Kai Peter Birke, Soumya Singh, Duygu Karabelli, Rolf Steinhilper, Alexander Sauer, Steffen Kiemel, Robert Miehe, Christian Schneider, Frank Schultmann and Simon Glöser‐Chahoud and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Buildings and Resources Conservation and Recycling.

In The Last Decade

Max Weeber

31 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Weeber Germany 14 297 249 161 160 100 33 602
Heiner Hans Heimes Germany 14 484 1.6× 440 1.8× 90 0.6× 202 1.3× 73 0.7× 63 731
Francesco Del Pero Italy 11 217 0.7× 315 1.3× 50 0.3× 153 1.0× 136 1.4× 30 600
Paolo Cicconi Italy 13 268 0.9× 308 1.2× 149 0.9× 151 0.9× 22 0.2× 74 613
Lorenzo Berzi Italy 17 495 1.7× 617 2.5× 68 0.4× 170 1.1× 106 1.1× 81 934
Guillaume Mandil France 13 171 0.6× 253 1.0× 168 1.0× 269 1.7× 93 0.9× 23 616
Abdel Raouf Mayyas United States 9 133 0.4× 191 0.8× 36 0.2× 118 0.7× 46 0.5× 16 418
Wan-Sik Woo South Korea 12 207 0.7× 72 0.3× 74 0.5× 425 2.7× 36 0.4× 20 541
Agnieszka Merkisz-Guranowska Poland 13 54 0.2× 237 1.0× 64 0.4× 102 0.6× 61 0.6× 90 490
Carlos Javierre Spain 16 67 0.2× 105 0.4× 59 0.4× 244 1.5× 146 1.5× 54 724
Monsuru Ramoni United States 10 165 0.6× 213 0.9× 37 0.2× 277 1.7× 60 0.6× 25 457

Countries citing papers authored by Max Weeber

Since Specialization
Citations

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

Fields of papers citing papers by Max Weeber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Weeber

This figure shows the co-authorship network connecting the top 25 collaborators of Max Weeber. A scholar is included among the top collaborators of Max Weeber 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 Max Weeber. Max Weeber 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.
Ghisi, Enedir, Liseane Padilha Thives, Abel Silva Vieira, et al.. (2024). Dashboard for interpreting future climate files used in the simulation of buildings – An outdoor thermal comfort approach. Energy and Buildings. 326. 115059–115059.
2.
Weeber, Max, et al.. (2023). Potentials of a Digital Twin implementation in the wetting process in battery cell manufacturing. Procedia CIRP. 118. 987–992. 4 indexed citations
3.
Weeber, Max, et al.. (2021). Optimization of Disassembly Strategies for Electric Vehicle Batteries. Batteries. 7(4). 74–74. 44 indexed citations
4.
Glöser‐Chahoud, Simon, Steffen Kiemel, Soumya Singh, et al.. (2021). Industrial disassembling as a key enabler of circular economy solutions for obsolete electric vehicle battery systems. Resources Conservation and Recycling. 174. 105735–105735. 98 indexed citations
5.
Full, Johannes, et al.. (2021). Technology assessment for digitalization in battery cell manufacturing. Procedia CIRP. 99. 520–525. 12 indexed citations
6.
Singh, Soumya, Max Weeber, & Kai Peter Birke. (2021). Implementation of Battery Digital Twin: Approach, Functionalities and Benefits. Batteries. 7(4). 78–78. 43 indexed citations
7.
Singh, Soumya, et al.. (2021). Advancing digital twin implementation: a toolbox for modelling and simulation. Procedia CIRP. 99. 567–572. 43 indexed citations
8.
Weeber, Max, et al.. (2021). Energy Flexibility in Battery Cell Manufacturing. Procedia CIRP. 99. 531–536. 5 indexed citations
9.
Singh, Soumya, Max Weeber, Kai Peter Birke, & Alexander Sauer. (2020). Development and Utilization of a Framework for Data-Driven Life Cycle Management of Battery Cells. Procedia Manufacturing. 43. 431–438. 13 indexed citations
10.
Karabelli, Duygu, Soumya Singh, Steffen Kiemel, et al.. (2020). Sodium-Based Batteries: In Search of the Best Compromise Between Sustainability and Maximization of Electric Performance. Frontiers in Energy Research. 8. 43 indexed citations
11.
Karabelli, Duygu, Steffen Kiemel, Soumya Singh, et al.. (2020). Tackling xEV Battery Chemistry in View of Raw Material Supply Shortfalls. Frontiers in Energy Research. 8. 24 indexed citations
12.
Weeber, Max, et al.. (2020). Methodology for the Simulation based Energy Efficiency Assessment of Battery Cell Manufacturing Systems. Procedia Manufacturing. 43. 32–39. 30 indexed citations
13.
Kiemel, Steffen, et al.. (2020). Kreislaufstrategien für Batteriesysteme in Baden-Württemberg. elib (German Aerospace Center). 1 indexed citations
14.
Weeber, Max, et al.. (2019). Techno-economic analysis of battery storage systems for demand responds application in manufacturing. Procedia Manufacturing. 33. 359–366. 1 indexed citations
15.
Weeber, Max, et al.. (2019). Quality Modelling in Battery Cell Manufacturing Using Soft Sensoring and Sensor Fusion - A Review. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–9. 10 indexed citations
16.
Weeber, Max & Alexander Sauer. (2018). Total Energy Planning – A Working Paper. Procedia CIRP. 72. 820–825. 1 indexed citations
17.
Weeber, Max, et al.. (2016). Energy Efficiency in Assembly Systems. Procedia CIRP. 44. 334–340. 6 indexed citations
18.
Lang‐Koetz, Claus, et al.. (2016). Integrating Resource Efficiency in Learning Factories for Industrial Engineering. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1 indexed citations
19.
Weeber, Max, et al.. (2016). Assessment Strategies for Composite-metal Joining Technologies – A Review. Procedia CIRP. 50. 689–694. 50 indexed citations
20.
Weeber, Max, et al.. (2016). Extending the Scope of Future Learning Factories by Using Synergies Through an Interconnection of Sites and Process Chains. Procedia CIRP. 54. 124–129. 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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