Kristina Maschat

20 total papers · 558 total citations
15 papers, 391 citations indexed

About

Kristina Maschat is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Kristina Maschat has authored 15 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Small Animals, 9 papers in Animal Science and Zoology and 5 papers in Agronomy and Crop Science. Recurrent topics in Kristina Maschat's work include Animal Behavior and Welfare Studies (15 papers), Animal Nutrition and Physiology (6 papers) and Effects of Environmental Stressors on Livestock (5 papers). Kristina Maschat is often cited by papers focused on Animal Behavior and Welfare Studies (15 papers), Animal Nutrition and Physiology (6 papers) and Effects of Environmental Stressors on Livestock (5 papers). Kristina Maschat collaborates with scholars based in Austria, Belgium and China. Kristina Maschat's co-authors include Johannes Baumgartner, Maciej Oczak, Tomás Norton, Michael Iwersen, Marc Drillich, Erik Vranken, Daniël Berckmans, Dongjian He, Mona Lilian Vestbjerg Larsen and Weixing Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Applied Animal Behaviour Science.

In The Last Decade

Kristina Maschat

15 papers receiving 379 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kristina Maschat 313 210 83 82 64 15 391
Kaitlin Elizabeth Wurtz 278 0.9× 199 0.9× 73 0.9× 85 1.0× 35 0.5× 18 375
Anne-Charlotte Olsson 297 0.9× 220 1.0× 62 0.7× 58 0.7× 56 0.9× 31 421
Gunel Ismayilova 321 1.0× 235 1.1× 45 0.5× 76 0.9× 57 0.9× 13 370
Junjie Han 220 0.7× 146 0.7× 52 0.6× 85 1.0× 32 0.5× 15 338
Eloise S. Fogarty 239 0.8× 198 0.9× 93 1.1× 84 1.0× 55 0.9× 22 404
Jennifer Salau 228 0.7× 188 0.9× 96 1.2× 58 0.7× 66 1.0× 26 350
Haiming Gan 221 0.7× 105 0.5× 38 0.5× 84 1.0× 35 0.5× 16 344
Simone Müller 181 0.6× 207 1.0× 40 0.5× 92 1.1× 29 0.5× 25 401
Alberto Peña Fernández 242 0.8× 211 1.0× 37 0.4× 85 1.0× 23 0.4× 34 445
Paula Martiskainen 212 0.7× 148 0.7× 80 1.0× 70 0.9× 40 0.6× 9 352

Countries citing papers authored by Kristina Maschat

Since Specialization
Citations

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

Fields of papers citing papers by Kristina Maschat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristina Maschat

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

All Works

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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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