Evaluating the Effectiveness of Google Scholar, ScienceDirect, Mendeley, and eLibrary for Interdisciplinary Research
Yazarlar (4)
Natalya Ivanova
Ural Branch, Russian Academy Of Sciences, Rusya Federasyonu
Ural Branch, Russian Academy Of Sciences, Rusya Federasyonu
Svetlana Ivanova
Ural Branch, Russian Academy Of Sciences, Rusya Federasyonu
Ural Branch, Russian Academy Of Sciences, Rusya Federasyonu
Sergey Ivanchikov
Ural Branch, Russian Academy Of Sciences, Rusya Federasyonu
Ural Branch, Russian Academy Of Sciences, Rusya Federasyonu
Prof. Dr. Sezgin AYAN Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
|
||
| Dergi Adı | South East European Forestry | ||
| Dergi ISSN | 1847-6481 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | Scopus, ESCI, CAB Abstract, CrossRef, DOAJ | ||
| Makale Dili | Türkçe | Basım Tarihi | 12-2025 |
| Cilt / Sayı / Sayfa | 16 / 2 / 227–238 | DOI | 10.15177/SEEFOR.25-21 |
| Makale Linki | https://doi.org/10.15177/seefor.25-21 | ||
| UAK Araştırma Alanları |
Silvikültür
|
||
| Özet |
| As the volume of new scientific evidence, new ideas and practical developments increases, so does the risk that researchers will fall behind the current state of the science and its practical applications. A high-quality synthesis of information in the form of systematic reviews and meta-analyses aims to address this problem and can significantly facilitate the researchers' orientation in the current state of the scientific field. The following four search engines were selected for the methodology of this study: Google Scholar, ScienceDirect, Mendeley and eLibrary. Information was searched in various scientific disciplines, including machine learning, economics, and ecology. For the comparative analysis of the search engines, a keyword search was performed for the following terms:" climate warming"," ecological service"," reforestation"," wildfires"," ecological indicator"," cryptocurrency"," financial market"," machine learning"," market prediction", and" blockchain". For more complex queries, the following was searched:" machine learning" and" cryptocurrency"," machine learning" and" financial market"," machine learning" and" reforestation"," machine learning" and" wildfires". The search was conducted in February 2025 for the last 10 years (from 2015 to 2024). As a result, it was found that the search engines Google Scholar, ScienceDirect, Mendeley and eLibrary have significant differences that need to be taken into account when organizing searches. However, it is not recommended to use only one search engine in the study as this may lead to false conclusions. It is confirmed that Google Scholar returns significantly more records than other search … |
| Anahtar Kelimeler |
| ecology | economics | eLIBRARY.RU | Google Scholar | machine learning | Mendeley | ScienceDirect |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 1 |