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h5 指数:47
h5 中位数:78

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#19 Ecology

标题/作者	引用次数	年份
Climatic controls on the global distribution, abundance, and species richness of mangrove forests MJ Osland, LC Feher, KT Griffith, KC Cavanaugh, NM Enwright, RH Day, ... Ecological Monographs 87 (2), 341-359	204	2017
Nutrient limitation of soil microbial processes in tropical forests T Camenzind, S Hättenschwiler, KK Treseder, A Lehmann, MC Rillig Ecological Monographs 88 (1), 4-21	200	2018
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels A Norberg, N Abrego, FG Blanchet, FR Adler, BJ Anderson, J Anttila, ... Ecological Monographs 89 (3), e01370	181	2019
Chesson's coexistence theory G Barabás, R D'Andrea, SM Stump Ecological Monographs 88 (3), 277-303	181	2018
Linking modern coexistence theory and contemporary niche theory AD Letten, PJ Ke, T Fukami Ecological Monographs 87 (2), 161-177	161	2017
Diel predator activity drives a dynamic landscape of fear MT Kohl, DR Stahler, MC Metz, JD Forester, MJ Kauffman, N Varley, ... Ecological Monographs 88 (4), 638-652	155	2018
Model averaging in ecology: a review of Bayesian, information‐theoretic, and tactical approaches for predictive inference CF Dormann, JM Calabrese, G Guillera‐Arroita, E Matechou, V Bahn, ... Ecological Monographs 88 (4), 485-504	151	2018
A structural approach for understanding multispecies coexistence S Saavedra, RP Rohr, J Bascompte, O Godoy, NJB Kraft, JM Levine Ecological Monographs 87 (3), 470-486	149	2017
Generalized joint attribute modeling for biodiversity analysis: median‐zero, multivariate, multifarious data JS Clark, D Nemergut, B Seyednasrollah, PJ Turner, S Zhang Ecological Monographs 87 (1), 34-56	145	2017
Why phylogenies do not always predict ecological differences MW Cadotte, TJ Davies, PR Peres‐Neto Ecological Monographs 87 (4), 535-551	130	2017
Spatial autoregressive models for statistical inference from ecological data JM Ver Hoef, EE Peterson, MB Hooten, EM Hanks, MJ Fortin Ecological Monographs 88 (1), 36-59	127	2018
A guide to Bayesian model checking for ecologists PB Conn, DS Johnson, PJ Williams, SR Melin, MB Hooten Ecological Monographs 88 (4), 526-542	125	2018
Living in a high CO2 world: a global meta‐analysis shows multiple trait‐mediated fish responses to ocean acidification C Cattano, J Claudet, P Domenici, M Milazzo Ecological Monographs 88 (3), 320-335	124	2018
The mechanisms of phenology: the patterns and processes of phenological shifts HE Chmura, HM Kharouba, J Ashander, SM Ehlman, EB Rivest, LH Yang Ecological Monographs 89 (1), e01337	123	2019
The unrealized potential of herbaria for global change biology EK Meineke, CC Davis, TJ Davies Ecological Monographs 88 (4), 505-525	112	2018
Biodiverse cities: the nursery industry, homeowners, and neighborhood differences drive urban tree composition ML Avolio, DE Pataki, TLE Trammell, J Endter‐Wada Ecological Monographs 88 (2), 259-276	107	2018
Shifting the conservation paradigm: a synthesis of options for renovating nature under climate change SM Prober, VAJ Doerr, LM Broadhurst, KJ Williams, F Dickson Ecological Monographs 89 (1), e01333	95	2019
A comprehensive analysis of autocorrelation and bias in home range estimation MJ Noonan, MA Tucker, CH Fleming, TS Akre, SC Alberts, AH Ali, ... Ecological Monographs 89 (2), e01344	91	2019
Chemistry of floral rewards: intra‐and interspecific variability of nectar and pollen secondary metabolites across taxa EC Palmer‐Young, IW Farrell, LS Adler, NJ Milano, PA Egan, RR Junker, ... Ecological Monographs 89 (1), e01335	84	2019
Eighteen years of ecological monitoring reveals multiple lines of evidence for tundra vegetation change IH Myers‐Smith, MM Grabowski, HJD Thomas, S Angers‐Blondin, ... Ecological Monographs 89 (2), e01351	84	2019

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