+44 1300 500008Forest Research: Open Access : Citations & Metrics Report
Articles published in Forest Research: Open Access have been cited by esteemed scholars and scientists all around the world. Forest Research: Open Access has got h-index 14, which means every article in Forest Research: Open Access has got 14 average citations.
Following are the list of articles that have cited the articles published in Forest Research: Open Access.
| 2022 | 2021 | 2020 | 2019 | 2018 | |
|---|---|---|---|---|---|
Year wise published articles |
30 | 61 | 18 | 5 | 10 |
Year wise citations received |
91 | 135 | 131 | 83 | 73 |
| Journal total citations count | 946 |
| Journal impact factor | 1.89 |
| Journal 5 years impact factor | 3.09 |
| Journal cite score | 3.14 |
| Journal h-index | 14 |
| Journal h-index since 2018 | 12 |
Important citations (221)
Joshi g, neupane b, dahal d, shrestha s, dhakal p, jandug cm, gautam d. journal of animal diversit y. |
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Sharma g, regmi s, lamichhane r, bhetwal h, subedi s, timilsina s, thapa s. phytoconstituents, conventional and chemical uses of tulsi: a review. asian j. pharmacogn. 2021;4(1):17-23. |
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Rijal s, rauniyar a, thapa s, paudel u, gautam d. ecosystem services of wetlands and threats in context of nepal. |
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Golay dk, miya ms, timilsina s. chiuri (aesandra butyracea) and beekeeping for sustainable livelihoods of chepang community in raksirang-6, makawanpur, nepal. indonesian journal of social and environmental issues (ijsei). 2021 apr 20;2(1):78-85. |
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Gautam d, karki j, gaire np, roth be, bhattarai s, thapa s, sharma rp, li j, tong x, liu qj. intra-and interannual climate variability drives the radial growth of pinus wallichiana in the nepalese himalayas. plant ecology & diversity. 2021 jun 3:1-0. |
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Miya ms, adhikari a, chhetri a. wild edible plants consumed by different ethnic groups of nepal-a review. research journal of agriculture and forestry sciences |
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Singh j, miya ms, adhikari a, das lk. potentiality of income generation through non-timber forest products: a case study from the sallipatan trishakti community forest, bajhang district, nepal. international research journal of mmc. 2021 jun 30;2(2):1-5. |
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Lamichhane r, gautam d, miya ms, raut chhetri hb, timilsina s. role of non-timber forest products in local economy: a case of jajarkot district, nepal. lamichhane, r., gautam, d., miya, ms, chhetri, hb and timilsina, s.(2021). role of non-timber forest products in national economy: a case of jajarkot district, nepal. grassroots journal of natural resources. 2021 mar 25;4(1):94-105. |
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Singh j, miya ms, adhikari a, das lk. potentiality of income generation through non-timber forest products: a case study from the sallipatan trishakti community forest, bajhang district, nepal. international research journal of mmc. 2021 jun 30;2(2):1-5. |
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Lamichhane r, gautam d, miya ms, raut chhetri hb, timilsina s. role of non-timber forest products in local economy: a case of jajarkot district, nepal. lamichhane, r., gautam, d., miya, ms, chhetri, hb and timilsina, s.(2021). role of non-timber forest products in national economy: a case of jajarkot district, nepal. grassroots journal of natural resources. 2021 mar 25;4(1):94-105. |
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Zeng w, chen x, yang x. developing national and regional individual tree biomass models and analyzing impact of climatic factors on biomass estimation for poplar plantations in china. trees. 2021 feb;35(1):93-102. |
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Yang x. weisheng zeng, xinyun chen &. |
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Meng s, yang f, hu s, wang h, wang h. generic additive allometric models and biomass allocation for two natural oak species in northeastern china. forests. 2021 jun;12(6):715. |
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Weisheng z, xiangnan s, liuru w, wei w, ying p. developing stand volume, biomass and carbon stock models for ten major forest types in forest region of northeastern china. ????????. 2021 apr 16;43(3):1-8. |
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Altanzagas b, luo y, altansukh b, dorjsuren c, fang j, hu h. allometric equations for estimating the above-ground biomass of five forest tree species in khangai, mongolia. forests. 2019 aug;10(8):661. |
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Li y, li m, li c, liu z. forest aboveground biomass estimation using landsat 8 and sentinel-1a data with machine learning algorithms. scientific reports. 2020 jun 19;10(1):1-2. |
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Li y, li c, li m, liu z. influence of variable selection and forest type on forest aboveground biomass estimation using machine learning algorithms. forests. 2019 dec;10(12):1073. |
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