Oliver Bandte

23 total papers · 780 total citations
17 papers, 452 citations indexed

About

Oliver Bandte is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Oliver Bandte has authored 17 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 7 papers in Management Science and Operations Research and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Oliver Bandte's work include Probabilistic and Robust Engineering Design (11 papers), Optimal Experimental Design Methods (6 papers) and Manufacturing Process and Optimization (5 papers). Oliver Bandte is often cited by papers focused on Probabilistic and Robust Engineering Design (11 papers), Optimal Experimental Design Methods (6 papers) and Manufacturing Process and Optimization (5 papers). Oliver Bandte collaborates with scholars based in United States, Switzerland and Sweden. Oliver Bandte's co-authors include Dimitri N. Mavris, Daniel DeLaurentis, Daniel Schrage, Vinit Parida, Joakim Wincent, Eric Bonabeau and Paolo Gaudiano and has published in prestigious journals such as Technological Forecasting and Social Change, Applied Soft Computing and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Oliver Bandte

16 papers receiving 395 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Oliver Bandte	203	119	100	89	88	17	452
Christine Taylor	42 0.2×	50 0.4×	64 0.6×	38 0.4×	35 0.4×	47	521
Ken R. McNaught	77 0.4×	38 0.3×	167 1.7×	24 0.3×	15 0.2×	20	408
Claudio M. Rocco S.	134 0.7×	31 0.3×	38 0.4×	69 0.8×	17 0.2×	11	484
Brett Wujek	213 1.0×	311 2.6×	111 1.1×	19 0.2×	24 0.3×	18	477
J. N. Siddall	110 0.5×	153 1.3×	60 0.6×	29 0.3×	12 0.1×	19	519
Arnab Nilim	41 0.2×	73 0.6×	177 1.8×	22 0.2×	7 0.1×	12	527
L. Bianco	86 0.4×	31 0.3×	69 0.7×	27 0.3×	4 0.0×	23	485
Rodrigo José Pires Ferreira	129 0.6×	11 0.1×	148 1.5×	141 1.6×	41 0.5×	27	538
Takao Yokota	87 0.4×	114 1.0×	48 0.5×	154 1.7×	4 0.0×	25	518
J Wang	204 1.0×	12 0.1×	114 1.1×	58 0.7×	18 0.2×	25	411

Countries citing papers authored by Oliver Bandte

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Bandte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Bandte

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

All Works

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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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