Bastian Bohn

1.1k total citations · 1 hit paper
8 papers, 683 citations indexed

About

Bastian Bohn is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems and Management. According to data from OpenAlex, Bastian Bohn has authored 8 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 2 papers in Information Systems and Management. Recurrent topics in Bastian Bohn's work include Explainable Artificial Intelligence (XAI) (2 papers), Model Reduction and Neural Networks (2 papers) and Scientific Computing and Data Management (2 papers). Bastian Bohn is often cited by papers focused on Explainable Artificial Intelligence (XAI) (2 papers), Model Reduction and Neural Networks (2 papers) and Scientific Computing and Data Management (2 papers). Bastian Bohn collaborates with scholars based in Germany and United States. Bastian Bohn's co-authors include Jochen Garcke, Ribana Roscher, Marco F. Duarte, Benjamin Peherstorfer, Michael Griebel, Ulf Schepsmeier, Tim Becker, Thomas Sander, Costin Leu and Sven Cichon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Access.

In The Last Decade

Bastian Bohn

7 papers receiving 664 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.

Explainable Machine Learning for Scientific Insights and Discoveries

2020 590 citations Ribana Roscher, Bastian Bohn et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bastian Bohn Germany	5	255	66	54	54	49	8	683
Gherardo Varando Spain	7	229 0.9×	72 1.1×	33 0.6×	70 1.3×	24 0.5×	25	653
Wang Xiu China	20	254 1.0×	48 0.7×	45 0.8×	24 0.4×	45 0.9×	134	2.0k
Zdravko I. Botev Australia	13	187 0.7×	48 0.7×	44 0.8×	37 0.7×	35 0.7×	42	981
Janek Thomas Germany	7	205 0.8×	39 0.6×	36 0.7×	26 0.5×	24 0.5×	15	606
Thomas Burr United States	4	300 1.2×	44 0.7×	40 0.7×	30 0.6×	29 0.6×	8	1.0k
Fei Li China	20	337 1.3×	32 0.5×	81 1.5×	42 0.8×	59 1.2×	166	1.4k
Álvaro López García Spain	10	283 1.1×	114 1.7×	23 0.4×	29 0.5×	36 0.7×	53	996
Hanen Borchani Spain	6	200 0.8×	47 0.7×	30 0.6×	20 0.4×	21 0.4×	8	506
Ekaba Bisong United States	3	228 0.9×	45 0.7×	30 0.6×	28 0.5×	20 0.4×	3	740

Countries citing papers authored by Bastian Bohn

Since Specialization

Citations

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

Fields of papers citing papers by Bastian Bohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bastian Bohn

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bohn, Bastian, Jochen Garcke, & Michael Griebel. (2024). Algorithmic Mathematics in Machine Learning. Society for Industrial and Applied Mathematics eBooks. 1 indexed citations

2.

Bohn, Bastian, et al.. (2022). Deep Neural Networks and PIDE Discretizations. SIAM Journal on Mathematics of Data Science. 4(3). 1145–1170.

3.

Roscher, Ribana, Bastian Bohn, Marco F. Duarte, & Jochen Garcke. (2020). EXPLAIN IT TO ME – FACING REMOTE SENSING CHALLENGES IN THE BIO- AND GEOSCIENCES WITH EXPLAINABLE MACHINE LEARNING. SHILAP Revista de lepidopterología. V-3-2020. 817–824. 19 indexed citations

4.

Roscher, Ribana, Bastian Bohn, Marco F. Duarte, & Jochen Garcke. (2020). Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access. 8. 42200–42216. 590 indexed citations breakdown →

5.

Bohn, Bastian & Michael Griebel. (2017). Error Estimates for Multivariate Regression on Discretized Function Spaces. SIAM Journal on Numerical Analysis. 55(4). 1843–1866. 1 indexed citations

6.

Bohn, Bastian, Jochen Garcke, & Michael Griebel. (2015). A sparse grid based method for generative dimensionality reduction of high-dimensional data. Journal of Computational Physics. 309. 1–17. 11 indexed citations

7.

Bohn, Bastian, et al.. (2013). Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods. Procedia Computer Science. 18. 621–630. 42 indexed citations

8.

Steffens, Michael, Tim Becker, Thomas Sander, et al.. (2010). Feasible and Successful: Genome-Wide Interaction Analysis Involving All 1.9 × 10<sup>11</sup> Pair-Wise Interaction Tests. Human Heredity. 69(4). 268–284. 19 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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