Gregor Hagedorn

2.3k citations
41 papers · 695 indexed · h-index 16

Impact in

Papers in

Gregor Hagedorn

36 papers receiving 627 citations

Peers

Gregor Hagedorn
Comparison fields: 5 of 82
  • Ecological Modeling 177
  • Cell Biology 226
  • Information Systems and Management 74
  • Plant Science 337
  • Ecology, Evolution, Behavior and Systematics 152
Replace Naupaka Zimmerman with:
Naupaka Zimmerman United States
Dagmar Triebel Germany
Anton Güntsch Germany
Gil Nelson United States
Elspeth Haston United Kingdom
Roger Hyam United Kingdom
Arthur D. Chapman Australia
James Macklin Canada
Luna L. Sánchez‐Reyes United States
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Gregor Hagedorn relative to Naupaka Zimmerman United States Naupaka Zimmerman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gregor Hagedorn

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Hagedorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20210
3 20192
4 201732
5 201742
6
Fusarium nematophilum spec. nov. – ein neuer Nematoden-assoziierter Pilz
20153
7 201539
8 201423
9 201413
10 201124
11 20114
12 201149
13
Metadata repository management using the MediaWiki interoperability framework a case study: The KeyToNature project
20103
14 20102
15 201016
16 20104
17 200934
18
Developing a core ontology for taxonomic data.
20060
19 2002120
20
Arthrobotrys oudemansii nom. nov., a new name for a nematode-trapping fungus to avoid homonymy.
20000

About Gregor Hagedorn

Gregor Hagedorn is a scholar working on Ecological Modeling, Information Systems and Management, Communication, Cell Biology and Ecology, Evolution, Behavior and Systematics, having authored 41 papers that have together received 695 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (8 papers), Plant Pathogens and Fungal Diseases (8 papers), Mycorrhizal Fungi and Plant Interactions (7 papers), Research Data Management Practices (7 papers), Scientific Computing and Data Management (7 papers), Wikis in Education and Collaboration (6 papers), Lichen and fungal ecology (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Ecological Modeling (177 citations), Cell Biology (226 citations), Information Systems and Management (74 citations), Plant Science (337 citations) and Ecology, Evolution, Behavior and Systematics (152 citations). Gregor Hagedorn has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Helgard I. Nirenberg, Donat Agosti, Lyubomir Penev, Daniel Mietchen, Gerhard Rambold, Walter G. Berendsohn, Dagmar Triebel, Vincent Smith, David Remsen and Vishwas Chavan. Their work appears in journals such as ZooKeys, Mycologia, Mycological Progress, Taxon and Botanica Acta.

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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