Scholarly communication behavior in forestry research: A bibliometric analysis of global publications
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl.50Keywords:
Scientometrics, Forestry, Research, Citation Studies, VoS Viewer, Relative Growth Rate.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Scientific advancements and developments could be ensured by the environment where the free flow of libraries and information centers always has a pivotal and pioneer role in science communication and knowledge dissemination as the existing literature forms new literature. Quantification of information measuring a set of established parameters evolves policy decisions. Bibliometrics and scientometrics contributed to a great extent towards organizing the research outcome, scientific and knowledge outcome for timely retrieval and use. Forest plays an important role in ecosystem management. It is very difficult without enhanced forest cover to live in this world as forest plays a significant role in the healthy lifestyle of human beings and other species in this world. Considering the importance of forestry, the researcher wanted to find out the research trends in forestry. It is found from the analysis that there are 16203 research publications for the last 10 years. The time period for the data is from January 2012 to December 2021, which spans a period of 10 years. The articles which are published during the period are indexed in the database being considered for research analysis. About 45720 authors contributed 16203 publications which are published in 2298 international journals. It has 232465 citations which means 232465 scholarly information resources cite 16203 articles. The h-index for the total outcome of the time span is 136 for forest research across the globe. The indexed records consist of 404497 references. There are 27409 university and research departments affiliated with various organizations from where the researchers have contributed the total research outcome on the forestry and allied subject research for the study period. More than 163 countries collaboratively and individually contributed research in forestry.Abstract
How to Cite
Downloads
Similar Articles
- Aditi Malik, Rishi Chaudhry, Mohit, Urvashi Suryavanshi, Mapping the landscape of political advertising research: A comprehensive bibliometric analysis , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Nitika, Kuldeep Chaudhary, A critical review of social media advertising literature: Visualization and bibliometric approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Bayelign A. Zelalem, Ayalew Ali, BRICS and South African economic growth: Implications for Ethiopia, the new BRICS member , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Kamna Kandpal, Piyashi Dutta, P.Sasikala Ravichandran, Examining the relationship between motivation and incentives in the context of maternal health awareness: A study of Asha workers in Uttarakhand , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- RAMENDRA KUMAR DWIVEDI, PREM NARAYAN TRIPATHI, AGE AND GROWTH RELATIONSHIP OF CATLA CATLA IN AQUATIC ECOSYSTEM OF RIVER GHAGHRA AT AYODHYA , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- Shamba Gowda, AR Chethan Kumar, S. Srinivasaragavan, Mapping of research productivity on forestry research in India: A scientometric study , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Rajni Mathur, Bharti Singh, Anjali Kalse, Veena R. Kolte, Saloni Desai, Sameer Sonawane, Examining the impact of economic cycles on India’s information technology sector , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Shanmuganathi Ayyankalai, Srinivasaragavan Subburaj, Prasanna Kumari Nataraj, Measuring the research productivity on environmental toxicology: A scientometric study , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- P S Renjeni, B Senthilkumaran, Ramalingam Sugumar, L. Jaya Singh Dhas, Gaussian kernelized transformer learning model for brain tumor risk factor identification and disease diagnosis , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Mohit, Rishi Chaudhry, Exploring the landscape of brand extensions: A bibliometric analysis of scholarly trends and insights , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Shamba Gowda, AR Chethan Kumar, S. Srinivasaragavan, Mapping of research productivity on forestry research in India: A scientometric study , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper

