Michael Weiß

22.5k citations
234 papers · 8.6k · 1 hit paper · h-index 49

Impact in

  • Cell Biology top 0.2%
    • Plant Pathogens and Fungal Diseases
  • Plant Science top 0.2%
    • Mycorrhizal Fungi and Plant Interactions
    • Plant-Microbe Interactions and Immunity
    • Plant Pathogens and Resistance

Papers in

Michael Weiß

223 papers receiving 8.2k citations

Michael Weiß's Hit Papers

Power Electronic Traction Transformer—Medium Voltage Prototype 2013 · 389 citations
3890+4+8Years since publication100200300

Peers

Michael Weiß
Comparison fields: 5 of 194
  • Cell Biology 2.2k
  • Plant Science 4.7k
  • Ecology, Evolution, Behavior and Systematics 2.0k
  • Software 237
  • Pharmacology 762
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Michael Weiß relative to Todd J. Ward United States Todd J. Ward's profile →
Citations per field
00.5×2.9×
Todd J. Ward · 1×
Citations per year

Countries citing papers authored by Michael Weiß

Since Specialization
Citations

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

Fields of papers citing papers by Michael Weiß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Weiß, 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 Weiß Line = papers co-authored together Michael Weiß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 234 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Power Electronic Traction Transformer—Medium Voltage Prototype
Hit paper breakdown →
2013389
2 2006352
3 2004308
4 2016278
5 2013244
6 2009226
7 2002222
8 2002220
9 2011193
10 2003188
11 2007178
12 2005171
13 2011171
14 2020162
15 2001150
16 2015144
17 2006136
18 2007133
19 2003131
20 2005130

About Michael Weiß

Michael Weiß is a scholar working on Plant Science, Information Systems, Artificial Intelligence, Computer Networks and Communications and Cell Biology, having authored 234 papers that have together received 8.6k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (47 papers), Plant Pathogens and Fungal Diseases (35 papers), Service-Oriented Architecture and Web Services (32 papers), Advanced Software Engineering Methodologies (25 papers), Open Source Software Innovations (20 papers), Business Process Modeling and Analysis (15 papers), Peer-to-Peer Network Technologies (13 papers) and Yeasts and Rust Fungi Studies (12 papers). The work is most often cited by research in Cell Biology (2.2k citations), Plant Science (4.7k citations), Ecology, Evolution, Behavior and Systematics (2.0k citations), Software (237 citations) and Pharmacology (762 citations). Michael Weiß has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Franz Oberwinkler, Sigisfredo Garnica, Marc‐André Selosse, Ingrid Kottke, Ale×andra Riethmüller, Frank Waller, Daniel Amyot, Markus Göker, Hermann Voglmayr and Toufann Chaudhuri. Their work appears in journals such as Mycologia, New Phytologist, Mycological Progress, PLoS ONE and Molecular Ecology.

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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