Moritz Böhle

475 total citations
8 papers, 220 citations indexed

About

Moritz Böhle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Moritz Böhle has authored 8 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Moritz Böhle's work include Advanced Neural Network Applications (5 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Adversarial Robustness in Machine Learning (2 papers). Moritz Böhle is often cited by papers focused on Advanced Neural Network Applications (5 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Adversarial Robustness in Machine Learning (2 papers). Moritz Böhle collaborates with scholars based in Germany. Moritz Böhle's co-authors include Fabian Eitel, Martin Weygandt, Kerstin Ritter, Bernt Schiele and Mario Fritz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Aging Neuroscience and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Moritz Böhle

8 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moritz Böhle Germany	4	133	40	34	34	30	8	220
Fabian Eitel Germany	5	114 0.9×	50 1.3×	48 1.4×	40 1.2×	14 0.5×	9	231
Faizal Hajamohideen United Kingdom	5	78 0.6×	26 0.7×	24 0.7×	18 0.5×	32 1.1×	17	175
Nicola K. Dinsdale United Kingdom	7	84 0.6×	106 2.6×	79 2.3×	25 0.7×	44 1.5×	16	270
R. Prashanth India	8	50 0.4×	61 1.5×	35 1.0×	10 0.3×	48 1.6×	15	474
Josefa Díaz‐Álvarez Spain	10	69 0.5×	20 0.5×	63 1.9×	10 0.3×	9 0.3×	23	242
Thi Kieu Khanh Ho South Korea	8	99 0.7×	148 3.7×	65 1.9×	15 0.4×	38 1.3×	14	279
Marc-André Schulz Germany	7	66 0.5×	62 1.6×	136 4.0×	15 0.4×	20 0.7×	11	298
Matthew Townend United Kingdom	6	49 0.4×	50 1.3×	33 1.0×	19 0.6×	12 0.4×	19	218
Shantanu Ghosh India	7	40 0.3×	33 0.8×	48 1.4×	7 0.2×	23 0.8×	15	374

Countries citing papers authored by Moritz Böhle

Since Specialization

Citations

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

Fields of papers citing papers by Moritz Böhle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Böhle

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

All Works

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8 of 8 papers shown

1.

Böhle, Moritz, et al.. (2024). Better Understanding Differences in Attribution Methods via Systematic Evaluations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4090–4101. 2 indexed citations

2.

Böhle, Moritz, et al.. (2024). B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4504–4518. 5 indexed citations

3.

Böhle, Moritz, et al.. (2023). Studying How to Efficiently and Effectively Guide Models with Explanations. 1922–1933. 1 indexed citations

4.

Böhle, Moritz, et al.. (2022). Towards Better Understanding Attribution Methods. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10213–10222. 15 indexed citations

5.

Böhle, Moritz, Mario Fritz, & Bernt Schiele. (2022). B-cos Networks: Alignment is All We Need for Interpretability. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10319–10328. 30 indexed citations

6.

Böhle, Moritz, Mario Fritz, & Bernt Schiele. (2022). Optimising for Interpretability: Convolutional Dynamic Alignment Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7625–7638. 3 indexed citations

7.

Böhle, Moritz, Fabian Eitel, Martin Weygandt, & Kerstin Ritter. (2019). Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification. Frontiers in Aging Neuroscience. 11. 194–194. 162 indexed citations

8.

Böhle, Moritz, Fabian Eitel, Martin Weygandt, & Kerstin Ritter. (2019). Visualizing evidence for Alzheimer's disease in deep neural networks trained on structural MRI data. 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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