Robert Gerstenberger

745 total citations · 1 hit paper
14 papers, 385 citations indexed

About

Robert Gerstenberger is a scholar working on Mechanical Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Robert Gerstenberger has authored 14 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 6 papers in Biomedical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Robert Gerstenberger's work include Advanced Surface Polishing Techniques (5 papers), Advanced machining processes and optimization (5 papers) and Microstructure and Mechanical Properties of Steels (3 papers). Robert Gerstenberger is often cited by papers focused on Advanced Surface Polishing Techniques (5 papers), Advanced machining processes and optimization (5 papers) and Microstructure and Mechanical Properties of Steels (3 papers). Robert Gerstenberger collaborates with scholars based in Germany, Switzerland and Poland. Robert Gerstenberger's co-authors include Eckart Uhlmann, Michał Podstawski, Maciej Besta, Torsten Hoefler, Ales Kubicek, Lukas Gianinazzi, Piotr Nyczyk, H. Niewiadomski, Nils Blach and Jörg Kuhnert and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and Journal of Materials Processing Technology.

In The Last Decade

Robert Gerstenberger

13 papers receiving 375 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

2024 161 citations Maciej Besta, Nils Blach et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Gerstenberger Germany	9	150	124	95	56	51	14	385
Jianglong Zhang China	10	101 0.7×	57 0.5×	54 0.6×	64 1.1×	42 0.8×	29	369
В. Д. Белов Russia	10	278 1.9×	34 0.3×	162 1.7×	50 0.9×	26 0.5×	54	536
Jun Adachi Japan	11	81 0.5×	122 1.0×	85 0.9×	29 0.5×	43 0.8×	72	513
Wenbo Jiang China	11	44 0.3×	197 1.6×	52 0.5×	55 1.0×	52 1.0×	39	459
Ke Ma China	11	178 1.2×	57 0.5×	82 0.9×	19 0.3×	68 1.3×	44	425
Kai Yan China	11	117 0.8×	20 0.2×	56 0.6×	26 0.5×	46 0.9×	34	389
Kai-Tat Fung Hong Kong	9	53 0.4×	33 0.3×	55 0.6×	17 0.3×	41 0.8×	27	370
Dehua Chen China	10	71 0.5×	71 0.6×	41 0.4×	25 0.4×	19 0.4×	52	276
Marcin Nowak Poland	13	107 0.7×	22 0.2×	84 0.9×	151 2.7×	29 0.6×	70	448
Subhrakanta Panda India	10	73 0.5×	76 0.6×	97 1.0×	40 0.7×	9 0.2×	52	316

Countries citing papers authored by Robert Gerstenberger

Since Specialization

Citations

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

Fields of papers citing papers by Robert Gerstenberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Gerstenberger

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

All Works

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14 of 14 papers shown

Besta, Maciej, Zhenyu Zhang, Robert Gerstenberger, et al.. (2025). Demystifying Chains, Trees, and Graphs of Thoughts. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 10967–10989.

Besta, Maciej, Nils Blach, Ales Kubicek, et al.. (2024). Graph of Thoughts: Solving Elaborate Problems with Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17682–17690. 161 indexed citations breakdown →

Besta, Maciej, Robert Gerstenberger, Paolo Sylos Labini, et al.. (2023). High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. Institutional Research Information System (Università degli Studi di Trento). 1–16. 4 indexed citations

Besta, Maciej, Robert Gerstenberger, Marc Fischer, et al.. (2023). The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores. 1–18. 7 indexed citations

Besta, Maciej, Robert Gerstenberger, Marc Fischer, et al.. (2023). Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. ACM Computing Surveys. 56(2). 1–40. 30 indexed citations

Uhlmann, Eckart, Robert Gerstenberger, & Jörg Kuhnert. (2013). Cutting Simulation with the Meshfree Finite Pointset Method. Procedia CIRP. 8. 391–396. 36 indexed citations

Gerstenberger, Robert, et al.. (2013). Space resolved microstructural characteristics in the chip formation zone of orthogonal cut C45E steel samples characterized by diffraction experiments. Journal of Materials Processing Technology. 213(12). 2211–2216. 9 indexed citations

Uhlmann, Eckart, et al.. (2013). nc-AlTiN/a-Si3N4 and nc-AlCrN/a-Si3N4 nanocomposite coatings as protection layer for PCBN tools in hard machining. Surface and Coatings Technology. 237. 142–148. 23 indexed citations

Uhlmann, Eckart, et al.. (2013). An extended shear angle model derived from in situ strain measurements during orthogonal cutting. Production Engineering. 7(4). 401–408. 8 indexed citations

10.

Uhlmann, Eckart, Robert Gerstenberger, Mathias Schäfer, & Jörg Kuhnert. (2011). Entwicklung der netzfreien Finite-Pointset-Methode für die Zerspansimulation. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 106(7-8). 510–514. 1 indexed citations

11.

Staron, Peter, Torben Fischer, Thomas C. Lippmann, et al.. (2011). In Situ Experiments with Synchrotron High‐Energy X‐Rays and Neutrons. Advanced Engineering Materials. 13(8). 658–663. 70 indexed citations

12.

Uhlmann, Eckart, Robert Gerstenberger, W. Reimers, et al.. (2010). In situ strain measurement in the chip formation zone during orthogonal cutting. Production Engineering. 5(1). 1–8. 19 indexed citations

13.

Uhlmann, Eckart, et al.. (2009). Investigations on the adjustment of the modelling section in 2D simulations of milling processes. International Journal of Machining and Machinability of Materials. 6(1/2). 69–69. 4 indexed citations

14.

Uhlmann, Eckart, et al.. (2009). Quasi-static chip formation of intermetallic titanium aluminides. Production Engineering. 3(3). 261–270. 13 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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