Michael Weidlich

658 citations
14 papers · 461 · h-index 5

Impact in

    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Biomedical Text Mining and Ontologies
    • Microbial Metabolic Engineering and Bioproduction
    • Bioinformatics and Genomic Networks
    • Gene Regulatory Network Analysis

Papers in

Michael Weidlich

13 papers receiving 441 citations

Peers

Michael Weidlich
Comparison fields: 5 of 73
  • Artificial Intelligence 167
  • Molecular Biology 340
  • Computational Theory and Mathematics 65
  • Ecological Modeling 10
  • Pharmacology 15
Replace Wilco Fleuren with:
Wilco Fleuren Netherlands
Daniela Wieser United Kingdom
Sangsoo Lim South Korea
Prashanti Manda United States
Rebecca Jackson United States
Harold Drabkin United States
Stephen Keenan United Kingdom
Mona Alshahrani Saudi Arabia
Peiran Jiang China
Michael Weidlich relative to Wilco Fleuren Netherlands Wilco Fleuren's profile →
Citations per field
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Wilco Fleuren · 1×
Citations per year

Countries citing papers authored by Michael Weidlich

Since Specialization
Citations

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

Fields of papers citing papers by Michael Weidlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Michael Weidlich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Weidlich Line = papers co-authored together Michael Weidlich links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2010214
2 2012188
3
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
201326
4 201712
5
Role-based representation and inference of biochemical processes
20124
6 19864
7 20143
8 20173
9
Reisseronia arnscheidi sp. n. aus den Südkarpaten Rumäniens (Psychidae)
20052
10 20152
11 20131
12 19991
13 20161
14 20210

About Michael Weidlich

Michael Weidlich is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Artificial Intelligence and Plant Science, having authored 14 papers that have together received 461 indexed citations. Recurring topics across this work include Lepidoptera: Biology and Taxonomy (8 papers), Biomedical Text Mining and Ontologies (4 papers), Coleoptera Taxonomy and Distribution (3 papers), Botany and Plant Ecology Studies (3 papers), Advanced Text Analysis Techniques (2 papers), Semantic Web and Ontologies (2 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Molecular Biology (340 citations), Computational Theory and Mathematics (65 citations), Ecological Modeling (10 citations) and Pharmacology (15 citations). Michael Weidlich has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Tim Rocktäschel, Ulf Leser, Hermann−Georg Holzhütter, Christian Bölling, Ramanan Ganeshan, Kristian Rother, Sascha Bulik, Katrin Hübner, Christoph Gille and Sabrina Hoffmann. Their work appears in journals such as Molecular Systems Biology, Deutsche Entomologische Zeitschrift, Bioinformatics, Journal of Biomedical Semantics and SHILAP Revista de lepidopterología.

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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