Sören Dittmer

560 total citations
9 papers, 29 citations indexed

About

Sören Dittmer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Sören Dittmer has authored 9 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Mathematical Physics. Recurrent topics in Sören Dittmer's work include Bayesian Modeling and Causal Inference (2 papers), Seismic Imaging and Inversion Techniques (2 papers) and Numerical methods in inverse problems (2 papers). Sören Dittmer is often cited by papers focused on Bayesian Modeling and Causal Inference (2 papers), Seismic Imaging and Inversion Techniques (2 papers) and Numerical methods in inverse problems (2 papers). Sören Dittmer collaborates with scholars based in Germany, United Kingdom and Austria. Sören Dittmer's co-authors include Finn V. Jensen, Carola‐Bibiane Schönlieb, Peter Maaß, Michael Roberts, Tobias Kluth, James H.F. Rudd, Maximilian Schmidt, Ander Biguri, Sepideh Hatamikia and Michael S. Roberts and has published in prestigious journals such as Inverse Problems, Nature Machine Intelligence and Journal of Computational Design and Engineering.

In The Last Decade

Sören Dittmer

8 papers receiving 29 citations

Peers

Sören Dittmer
Comparison fields: 5 of 25
  • Artificial Intelligence 13
  • Computer Networks and Communications 4
  • Management Science and Operations Research 4
  • Radiology, Nuclear Medicine and Imaging 3
  • Statistics, Probability and Uncertainty 3
Replace César Laurent with:
César Laurent Canada
Joyce Cahoon United States
Mohnish Dubey Germany
Ying Wen China
Christina Lee United States
G. Cerminara United States
Brian Thorne Australia
Hidetaka Taniguchi Japan
Lorenzo Marcon Italy
Tom Everitt United Kingdom
César Laurent Canada View profile →
Citations per field, relative to Sören Dittmer
Sören Dittmer · 1×
Citations per year, relative to Sören Dittmer
Sören Dittmer · 1×

Countries citing papers authored by Sören Dittmer

Since Specialization
Citations

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

Fields of papers citing papers by Sören Dittmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sören Dittmer

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 4
2 1
3 3
4 1
5 1
6 4
7 0
8 14
9
Tools for Explanation in Bayesian Networks with Application to an Agricultural Problem
1

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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