# Decoding cow behavior patterns from accelerometer data using deep learning

*PRI Rank #15 · Topics and Trends in Most Cited Genetic and phenotypic traits in livestock Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/genetic-and-phenotypic-traits-in-livestock/2026/rank-15*

| Field | Value |
| --- | --- |
| Rank | #15 |
| 18m citations | 19 |
| Journal | Journal of Veterinary Behavior |
| Year | 2024 |
| DOI | 10.1016/j.jveb.2024.06.005 |
| Corresponding authors | Newlin Shebiah Russel |
| Institution | Mepco Schlenk Engineering College, India |

**Ranking page:** [Topics and Trends in Most Cited Genetic and phenotypic traits in livestock Papers, Class of 2026](https://pri.pepkio.com/top-papers/genetic-and-phenotypic-traits-in-livestock/2026)

**Paper link:** [10.1016/j.jveb.2024.06.005](https://doi.org/10.1016/j.jveb.2024.06.005)

## Topics

accelerometer data · deep learning classification · cow behavior recognition · Livestock activity monitoring · precision livestock farming · time-series sensor data · cow behavior recognition · wearable sensor technology

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Genetic and phenotypic traits in livestock Papers, Class of 2026. https://pri.pepkio.com/top-papers/genetic-and-phenotypic-traits-in-livestock/2026. Accessed 2026-07-15.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```