Michael Schroeder

20.3k total citations · 5 hit papers
224 papers, 12.8k citations indexed

About

Michael Schroeder is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michael Schroeder has authored 224 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Molecular Biology, 69 papers in Artificial Intelligence and 37 papers in Computer Networks and Communications. Recurrent topics in Michael Schroeder's work include Biomedical Text Mining and Ontologies (38 papers), Semantic Web and Ontologies (37 papers) and Bioinformatics and Genomic Networks (33 papers). Michael Schroeder is often cited by papers focused on Biomedical Text Mining and Ontologies (38 papers), Semantic Web and Ontologies (37 papers) and Bioinformatics and Genomic Networks (33 papers). Michael Schroeder collaborates with scholars based in Germany, United Kingdom and United States. Michael Schroeder's co-authors include Roger M. Needham, V. Joachim Haupt, Jerome H. Saltzer, Sebastian Salentin, Melissa F. Adasme, Sven B. Schreiber, Bingding Huang, Andreas Doms, Sarah Naomi Bolz and Florian Kaiser and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Nature Communications.

In The Last Decade

Michael Schroeder

207 papers receiving 11.8k citations

Hit Papers

PLIP: fully autom... 1975 2026 1992 2009 2015 1978 2021 1975 1991 500 1000 1.5k

Peers

Michael Schroeder
Comparison fields: 5 of 208
  • Molecular Biology 5.2k
  • Computer Networks and Communications 3.2k
  • Artificial Intelligence 2.8k
  • Computational Theory and Mathematics 2.1k
  • Information Systems 1.9k
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Citations per field, relative to Michael Schroeder
Michael Schroeder · 1×
Citations per year, relative to Michael Schroeder
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Countries citing papers authored by Michael Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schroeder

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 4
3
PLIP 2021: expanding the scope of the protein–ligand interaction profiler to DNA and RNA breakdown →
1237
4 26
5 24
6 33
7 64
8
High Genomic Diversity of Multi-Drug Resistant Wastewater
138
9 16
10 27
11
Understanding of SMFS barriers by means of energy profiles
2
12 0
13
From a Service-based eScience Infrastructure to a Semantic Web for the Life Sciences: The Sealife Project
5
14 71
15
Fast and efficient computation of domain-domaininteractions from known protein structures in the PDB.
1
16
Notions of attack and justified arguments for extended logic programs
4
17
Special Issue on Agents
1
18
Model-based diagnosis preferences and strategies representation with logic meta-programming
4
19
A state-of-the-art distributed system: computing with BOB
7
20
A case study: automatic reconfiguration in Autonet
3

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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