M. Budzyńska
- Small Animals top 2%
- Animal Science and Zoology top 5%
- Equine top 2%
- Genetics
- Agronomy and Crop Science top 10%
- Topics
- Animal Behavior and Welfare Studies (13 papers)Veterinary Equine Medical Research (12 papers)Human-Animal Interaction Studies (7 papers)
In The Last Decade
M. Budzyńska
25 papers receiving 240 citations
Peers
Comparison fields: 5 of 56
- Small Animals 163
- Animal Science and Zoology 123
- Equine 89
- Genetics 57
- Agronomy and Crop Science 45
Countries citing papers authored by M. Budzyńska
This map shows the geographic impact of M. Budzyńska'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 M. Budzyńska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Budzyńska more than expected).
Fields of papers citing papers by M. Budzyńska
This network shows the impact of papers produced by M. Budzyńska. 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 M. Budzyńska. The network helps show where M. Budzyńska may publish in the future.
Co-authorship network of co-authors of M. Budzyńska
This figure shows the co-authorship network connecting the top 25 collaborators of M. Budzyńska. A scholar is included among the top collaborators of M. Budzyńska 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 M. Budzyńska. M. Budzyńska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | Does animal-assisted intervention work? Research review on the effectiveness of AAI with the use of different animal species. | 1 |
| 7 | 5 | |
| 8 | 7 | |
| 9 | Effect of novel visual item on behavioral distress in foals separated from their mothers. | 3 |
| 10 | Influence of certain parameters of milk production on the content of selected bio-elements in cows' hair. | 2 |
| 11 | Relation between fearfulness level and maternal behaviour in Arab mares | 6 |
| 12 | Naukowe i edukacyjne aspekty etologii stosowanej | 1 |
| 13 | Behaviour of cows in milking parlour. | 1 |
| 14 | 57 | |
| 15 | 60 | |
| 16 | Poziom cech psychicznych potomstwa koni arabskich uwarunkowany zrownowazeniem nerwowym rodzicow | 0 |
| 17 | Charakterystyka eksterierowa i uzytkowa koni huculskich uczestniczacych w Czampionacie Hodowlanym | 1 |
| 18 | Wplyw wieku na wybrane wskazniki hematologiczne i immunologiczne klaczy arabskich | 1 |
| 19 | 3 | |
| 20 | Charakterystyka reaktywnosci nerwowej koni huculskich | 1 |
About M. Budzyńska
M. Budzyńska is a scholar working on Equine, Small Animals and Animal Science and Zoology, having authored 29 papers that have together received 254 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (13 papers), Veterinary Equine Medical Research (12 papers) and Human-Animal Interaction Studies (7 papers). The work is most often cited by research in Equine (89 citations), Small Animals (163 citations) and Animal Science and Zoology (123 citations). M. Budzyńska has collaborated with scholars based in Poland and Canada. Frequent co-authors include Daniel M. Weary, Martyna Michalska, M. Tietze, Aneta Strachecka, Marcin Budzyński and Marta J. Fiołka. Their work appears in journals such as General and Comparative Endocrinology, Applied Animal Behaviour Science and Small Ruminant Research.
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.