Wolfgang Auer

507 total citations
21 papers, 404 citations indexed

About

Wolfgang Auer is a scholar working on Animal Science and Zoology, Small Animals and Agronomy and Crop Science. According to data from OpenAlex, Wolfgang Auer has authored 21 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Animal Science and Zoology, 12 papers in Small Animals and 9 papers in Agronomy and Crop Science. Recurrent topics in Wolfgang Auer's work include Effects of Environmental Stressors on Livestock (12 papers), Animal Behavior and Welfare Studies (11 papers) and Reproductive Physiology in Livestock (6 papers). Wolfgang Auer is often cited by papers focused on Effects of Environmental Stressors on Livestock (12 papers), Animal Behavior and Welfare Studies (11 papers) and Reproductive Physiology in Livestock (6 papers). Wolfgang Auer collaborates with scholars based in Austria, Germany and Iran. Wolfgang Auer's co-authors include Michael Iwersen, Marc Drillich, Florian Kickinger, L. Lidauer, Stefanie Krieger, Alexandra Berger, Imke Traulsen, J. Krieter, D. Klein-Jöbstl and Dmitry Efrosinin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Sensors.

In The Last Decade

Wolfgang Auer

21 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wolfgang Auer Austria 13 278 265 119 114 70 21 404
L. Lidauer Austria 11 243 0.9× 213 0.8× 99 0.8× 106 0.9× 51 0.7× 13 321
Giuliana G. Miguel-Pacheco United Kingdom 11 227 0.8× 316 1.2× 133 1.1× 137 1.2× 40 0.6× 19 441
Florian Kickinger Austria 11 263 0.9× 225 0.8× 103 0.9× 113 1.0× 53 0.8× 13 337
K.-H. Tölle Germany 13 237 0.9× 241 0.9× 214 1.8× 182 1.6× 78 1.1× 25 457
Leonie Roland Austria 6 248 0.9× 243 0.9× 210 1.8× 96 0.8× 37 0.5× 7 550
Maciej Oczak Austria 12 329 1.2× 480 1.8× 100 0.8× 81 0.7× 126 1.8× 29 589
M.R. Borchers United States 7 356 1.3× 335 1.3× 214 1.8× 198 1.7× 116 1.7× 12 556
Dan Børge Jensen Denmark 11 132 0.5× 155 0.6× 126 1.1× 77 0.7× 60 0.9× 30 317
Jennifer Salau Germany 12 188 0.7× 229 0.9× 66 0.6× 96 0.8× 58 0.8× 26 351
Nicola Bollard United Kingdom 10 277 1.0× 397 1.5× 177 1.5× 178 1.6× 28 0.4× 17 498

Countries citing papers authored by Wolfgang Auer

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Auer

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

All Works

20 of 20 papers shown
1.
Lidauer, L., Andreas Steininger, Florian Kickinger, et al.. (2023). Short communications: an ear-attached accelerometer detects effects of regrouping on lying, rumination, and activity times in calves. Veterinary Research Communications. 47(4). 2333–2337. 1 indexed citations
2.
Lidauer, L., Florian Kickinger, Wolfgang Auer, et al.. (2022). Early Detection of Respiratory Diseases in Calves by Use of an Ear-Attached Accelerometer. Animals. 12(9). 1093–1093. 15 indexed citations
3.
Azizzadeh, Mohammad, L. Lidauer, Florian Kickinger, et al.. (2021). Monitoring selected behaviors of calves by use of an ear-attached accelerometer for detecting early indicators of diarrhea. Journal of Dairy Science. 104(5). 6013–6019. 19 indexed citations
4.
Lidauer, L., et al.. (2021). Use of a real-time location system to detect cows in distinct functional areas within a barn. SHILAP Revista de lepidopterología. 2(4). 217–222. 9 indexed citations
5.
Pichler, Markus, et al.. (2020). Discrete- and Continuous-State Trajectory Decoders for Positioning in Wireless Networks. IEEE Transactions on Instrumentation and Measurement. 69(9). 6016–6029. 5 indexed citations
6.
Krieger, Stefanie, L. Lidauer, Alexandra Berger, et al.. (2020). Comparison of behavioral patterns of dairy cows with natural estrus and induced ovulation detected by an ear-tag based accelerometer. Theriogenology. 157. 33–41. 21 indexed citations
7.
Pichler, Markus, et al.. (2020). A Geometry-Aware Hidden Markov Model for Indoor Positioning. 547–552. 3 indexed citations
8.
9.
Krieger, Stefanie, L. Lidauer, Alexandra Berger, et al.. (2019). Evaluation of an ear-attached accelerometer for detecting estrus events in indoor housed dairy cows. Theriogenology. 130. 19–25. 48 indexed citations
10.
Krieger, Stefanie, Maciej Oczak, L. Lidauer, et al.. (2019). An ear-attached accelerometer as an on-farm device to predict the onset of calving in dairy cows. Biosystems Engineering. 184. 190–199. 25 indexed citations
11.
Efrosinin, Dmitry, et al.. (2019). A Chaos Theoretic Approach to Animal Activity Recognition. Journal of Mathematical Sciences. 237(5). 730–743. 12 indexed citations
12.
Roland, Leonie, L. Lidauer, Florian Kickinger, et al.. (2018). Monitoring drinking behavior in bucket-fed dairy calves using an ear-attached tri-axial accelerometer: A pilot study. Computers and Electronics in Agriculture. 145. 298–301. 23 indexed citations
13.
Reiter, Simone Frizell, L. Lidauer, Florian Kickinger, et al.. (2018). Evaluation of an ear-tag-based accelerometer for monitoring rumination in dairy cows. Journal of Dairy Science. 101(4). 3398–3411. 61 indexed citations
14.
Roland, Leonie, Florian Kickinger, L. Lidauer, et al.. (2018). Technical note: Evaluation of a triaxial accelerometer for monitoring selected behaviors in dairy calves. Journal of Dairy Science. 101(11). 10421–10427. 34 indexed citations
15.
Efrosinin, Dmitry, et al.. (2018). Comparison of classic and novel change point detection methods for time series with changes in variance. Electronic journal of applied statistical analysis. 11(1). 208–234. 3 indexed citations
16.
Traulsen, Imke, et al.. (2018). Using Acceleration Data to Automatically Detect the Onset of Farrowing in Sows. Sensors. 18(1). 170–170. 25 indexed citations
17.
Traulsen, Imke, et al.. (2017). Detecting lameness in sows from ear tag-sampled acceleration data using wavelets. animal. 11(11). 2076–2083. 14 indexed citations
18.
Traulsen, Imke, et al.. (2016). Automatic detection of lameness in gestating group-housed sows using positioning and acceleration measurements. animal. 10(6). 970–977. 17 indexed citations
19.
Auer, Wolfgang, et al.. (2014). Fixed-Term Employment and Fertility: Evidence from German Micro Data. CESifo Economic Studies. 62(4). 595–623. 2 indexed citations
20.
Rainer, Helmut, Wolfgang Auer, Stefan Bauernschuster, et al.. (2013). Öffentlich geförderte Kinderbetreuung in Deutschland: Evaluierung der Auswirkungen auf die Arbeitsmarktbeteiligung von Müttern. Econstor (Econstor). 66(7). 31–40. 3 indexed citations

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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