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Marine Pollution Bulletin

ISSN:
0025-326X
1
h-индекс
1
Иқтибослар
9
Асарлар
0.00
2-йиллик ўртача иқтибос

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1 дан 3 сигнал мавжуд

Мустақил ижобий сигналлар — ягона “предатор/қонуний” ҳукми эмас, балки яқинлашувчи тасвир.

  • DOAJ
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    doaj.org
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    ОАК
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    Мавжуд
    ISSN

Бу ахборот ёрлиғи, расмий қарор эмас. Сигнал йўқлиги жазо эмас — масалан, минтақавий журнал DOAJ'да бўлмаслиги мумкин.

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Йиллар бўйича нашрлар (устун) ва иқтибослар (чизиқ)

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01345012010202520262010: Нашрлар 1, Иқтибослар 12025: Нашрлар 3, Иқтибослар 02026: Нашрлар 5, Иқтибослар 0

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012010202520262010: Иқтибослар 12025: Иқтибослар 02026: Иқтибослар 0

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013452010202520262010: Нашрлар 12025: Нашрлар 32026: Нашрлар 5

h-индекс эволюцияси

Йиллар бўйича жамланган h-индекс

012010202520262010: h-индекс 12025: h-индекс 12026: h-индекс 1

Энг кўп иқтибос қилинган асарлар

  1. Allometric relationships of 210Po and 210Pb in mussels and their application to environmental monitoring20101 иқтибос
  2. Safeguarding tourism economies: Managing the financial and ecological challenges of oil spills on coastal destinations20250 иқтибос
  3. Economic and ecological impacts riverine nutrient inputs in Bohai rim coastal zone, China20250 иқтибос
  4. The role of tidal range and seawater pollution in shaping mangrove biomass and carbon stocks20250 иқтибос
  5. Advancing real-time coastal data monitoring: Bio-optical property analysis (chlorophyll-a and TSM) in the Northern Bay of Bengal using Sentinel-3 OLCI, IRS Oceansat-3, and artificial neural networks20260 иқтибос
  6. Predicting coastal subsidence and sea-level scenarios in the Sundarbans Delta using InSAR and artificial intelligence for sustainable coastal management20260 иқтибос
  7. Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions20260 иқтибос
  8. Corrigendum to “Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions” [Mar. Pollut. Bull. 226 (2026) 119387]20260 иқтибос
  9. AI-driven prediction of soil trace metal contamination and ecological health in the Sundarbans mangrove ecosystem: Implications for nature-based solutions and the UN SDGs20260 иқтибос