# Machine learning algorithms for the evaluation of risk by tick-borne pathogens in Europe

*PRI Rank #19 · Topics and Trends in Most Cited Vector-borne infectious diseases Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/vector-borne-infectious-diseases/2026/rank-19*

| Field | Value |
| --- | --- |
| Rank | #19 |
| 18m citations | 18 |
| Journal | Annals of Medicine |
| Year | 2024 |
| DOI | 10.1080/07853890.2024.2405074 |
| Corresponding authors | Agustín Estrada‐Peña |
| Institution | University of Zaragoza, Spain |

**Ranking page:** [Topics and Trends in Most Cited Vector-borne infectious diseases Papers, Class of 2026](https://pri.pepkio.com/top-papers/vector-borne-infectious-diseases/2026)

**Paper link:** [10.1080/07853890.2024.2405074](https://doi.org/10.1080/07853890.2024.2405074)

## Topics

tick-borne pathogens · machine learning algorithms · Ixodes ricinus · Dermacentor reticulatus · Dermacentor marginatus · Hyalomma marginatum · species distribution modeling · Random forest · Gradient Boosting · Neural Networks · Naive Bayes · AdaBoost · species distribution modeling · land cover variables · land use variables · vertebrate host distribution · habitat fragmentation · trait-matching · early warning systems · tick seasonality

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Vector-borne infectious diseases Papers, Class of 2026. https://pri.pepkio.com/top-papers/vector-borne-infectious-diseases/2026. Accessed 2026-07-31.

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
```