# Forecasting of tilapia (Oreochromis niloticus) production in Bangladesh using ARIMA model

*PRI Rank #13 · Topics and Trends in Most Cited Fish Biology and Ecology Studies Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/fish-biology-and-ecology-studies/2026/rank-13*

| Field | Value |
| --- | --- |
| Rank | #13 |
| 18m citations | 17 |
| Journal | Heliyon |
| Year | 2024 |
| DOI | 10.1016/j.heliyon.2024.e27111 |
| Corresponding authors | A. K. Shakur Ahammad |
| Institution | Bangladesh Agricultural University, Bangladesh |

**Ranking page:** [Topics and Trends in Most Cited Fish Biology and Ecology Studies Papers, Class of 2026](https://pri.pepkio.com/top-papers/fish-biology-and-ecology-studies/2026)

**Paper link:** [10.1016/j.heliyon.2024.e27111](https://doi.org/10.1016/j.heliyon.2024.e27111)

## Topics

Oreochromis niloticus · ARIMA · ARIMA · aquaculture production forecasting · Akaike Information Criterion (AIC) · Bayesian Information Criterion (BIC) · autocorrelation function (ACF) · partial autocorrelation function (PACF) · ARIMA · time series modeling · Bangladesh aquaculture · production trend analysis · 2040 production forecast

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Fish Biology and Ecology Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/fish-biology-and-ecology-studies/2026. Accessed 2026-07-21.

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
```