Pascal Welke

888 total citations · 1 hit paper
16 papers, 542 citations indexed

About

Pascal Welke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Pascal Welke has authored 16 papers receiving a total of 542 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 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Pascal Welke's work include Graph Theory and Algorithms (5 papers), Complex Network Analysis Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Pascal Welke is often cited by papers focused on Graph Theory and Algorithms (5 papers), Complex Network Analysis Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Pascal Welke collaborates with scholars based in Germany, Austria and Australia. Pascal Welke's co-authors include Anne‐Katrin Mahlein, Till Rumpf, Erich-Christian Oerke, Lutz Plümer, H. W. Dehne, Ulrike Steiner, Alexander Markowetz, Ionut Andone, Konrad Błaszkiewicz and Stefan Wrobel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Machine Learning.

In The Last Decade

Pascal Welke

14 papers receiving 515 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.

Development of spectral indices for detecting and identifying plant diseases

2012 451 citations Anne‐Katrin Mahlein, Till Rumpf et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Welke Germany	5	324	287	224	55	49	16	542
Borja Espejo-García Greece	15	540 1.7×	182 0.6×	124 0.6×	54 1.0×	11 0.2×	24	765
Everton Castel�ão Tetila Brazil	9	463 1.4×	252 0.9×	124 0.6×	176 3.2×	21 0.4×	19	712
Hervé Goëau France	12	630 1.9×	282 1.0×	179 0.8×	52 0.9×	52 1.1×	44	1.0k
Jone Echazarra Spain	5	774 2.4×	173 0.6×	331 1.5×	21 0.4×	49 1.0×	8	851
Massimo Minervini Italy	9	731 2.3×	432 1.5×	110 0.5×	161 2.9×	31 0.6×	19	874
Koushik Nagasubramanian United States	8	540 1.7×	209 0.7×	225 1.0×	31 0.6×	37 0.8×	10	674
Gercina Gonçalves da Silva Brazil	6	572 1.8×	220 0.8×	168 0.8×	66 1.2×	18 0.4×	9	720
Mónica G. Larese Argentina	6	664 2.0×	192 0.7×	251 1.1×	42 0.8×	28 0.6×	12	808
Mingzhu Wan China	12	464 1.4×	171 0.6×	221 1.0×	99 1.8×	46 0.9×	15	647

Countries citing papers authored by Pascal Welke

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Welke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Welke

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

All Works

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16 of 16 papers shown

1.

Welke, Pascal, et al.. (2024). Logical Distillation of Graph Neural Networks. 920–930. 1 indexed citations

2.

Welke, Pascal, et al.. (2023). Hidden Schema Networks. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1 indexed citations

3.

Bauckhage, Christian, et al.. (2023). A New Aligned Simple German Corpus. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 11393–11412. 1 indexed citations

4.

Beckh, Katharina, et al.. (2023). Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 450–463. 9 indexed citations

5.

Horváth, Tamás, et al.. (2022). A generalized Weisfeiler-Lehman graph kernel. Machine Learning. 111(7). 2601–2629. 10 indexed citations

6.

Welke, Pascal, et al.. (2022). Graph Filtration Kernels. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8196–8203. 6 indexed citations

7.

Marheineke, Nicole, et al.. (2022). Graph-based tensile strength approximation of random nonwoven materials by interpretable regression. SHILAP Revista de lepidopterología. 8. 100288–100288. 2 indexed citations

8.

Marheineke, Nicole, et al.. (2022). Machine learning framework to predict nonwoven material properties from fiber graph representations. Software Impacts. 14. 100423–100423. 1 indexed citations

9.

Welke, Pascal, et al.. (2021). Decision Snippet Features. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 4260–4267.

10.

Welke, Pascal. (2020). Efficient Frequent Subgraph Mining in Transactional Databases. 307–314. 4 indexed citations

11.

Welke, Pascal, et al.. (2020). HOPS: Probabilistic Subtree Mining for Small and Large Graphs. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1275–1284. 3 indexed citations

12.

Welke, Pascal, Tamás Horváth, & Stefan Wrobel. (2019). Probabilistic and exact frequent subtree mining in graphs beyond forests. Machine Learning. 108(7). 1137–1164. 3 indexed citations

13.

Welke, Pascal, Tamás Horváth, & Stefan Wrobel. (2017). Probabilistic frequent subtrees for efficient graph classification and retrieval. Machine Learning. 107(11). 1847–1873. 3 indexed citations

14.

Welke, Pascal, et al.. (2016). Three-hop distance estimation in social graphs. 1048–1055. 2 indexed citations

15.

Welke, Pascal, Ionut Andone, Konrad Błaszkiewicz, & Alexander Markowetz. (2016). Differentiating smartphone users by app usage. 519–523. 45 indexed citations

16.

Mahlein, Anne‐Katrin, Till Rumpf, Pascal Welke, et al.. (2012). Development of spectral indices for detecting and identifying plant diseases. Remote Sensing of Environment. 128. 21–30. 451 indexed citations breakdown →

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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