Markus Ackermann

688 citations
38 papers · 484 indexed · h-index 12

Impact in

Papers in

Markus Ackermann

36 papers receiving 447 citations

Peers

Markus Ackermann
Comparison fields: 5 of 76
  • Ecology, Evolution, Behavior and Systematics 263
  • Agronomy and Crop Science 106
  • Epidemiology 175
  • Immunology 80
  • Nature and Landscape Conservation 39
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Citations per field
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Citations per year

Countries citing papers authored by Markus Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982107
2 200649
3 199039
4 198633
5 201823
6 201523
7 198921
8 201720
9 201019
10 200814
11 200613
12
[Malignant catarrhal fever in Switzerland: 2. Evaluation of the diagnosis].
200111
13 201011
14 201611
15 200210
16 20169
17 20178
18
Characterization of Newcastle disease virus field strains by means of three panels of monoclonal antibodies: analysis of variation regularities.
19958
19
[Comparison of two ELISA systems for the detection of antibodies against IBR/IPV and against enzootic bovine leukemia virus].
19947
20 20056

About Markus Ackermann

Markus Ackermann is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Epidemiology, Agronomy and Crop Science and Artificial Intelligence, having authored 38 papers that have together received 484 indexed citations. Recurring topics across this work include Plant Diversity and Evolution (12 papers), Plant and animal studies (9 papers), Animal Disease Management and Epidemiology (7 papers), Plant and Fungal Species Descriptions (6 papers), Vector-Borne Animal Diseases (5 papers), Semantic Web and Ontologies (5 papers), Herpesvirus Infections and Treatments (5 papers) and Plant Parasitism and Resistance (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (263 citations), Agronomy and Crop Science (106 citations), Epidemiology (175 citations), Immunology (80 citations) and Nature and Landscape Conservation (39 citations). Markus Ackermann has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Maximilian Weigend, Ernst Peterhans, Robert Wyler, J B Kahlon, Fred D. Lakeman, R. J. Whitley, Tilo Henning, Eberhard Fischer, Stefan Abrahamczyk and Étienne Thiry. Their work appears in journals such as Veterinary Microbiology, Plant Biology, Biological Journal of the Linnean Society, Applied Physics Letters and Flora.

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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