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Authors

Felix Jose

Last known institution:
Florida Gulf Coast University
ORCID:
0000-0002-9892-0950
6
h-index
2
i10-index
73
Citations
18
Works
Trends over time

Performance over time

Citation overview

Publications (bars) and citations (line) by year

  • Publications
  • Citations
03581001325385020232024202520262023: Publications 2, Citations 02024: Publications 5, Citations 32025: Publications 7, Citations 432026: Publications 4, Citations 27

Citation history

01325385020232024202520262023: Citations 02024: Citations 32025: Citations 432026: Citations 27

Publication history

03581020232024202520262023: Publications 22024: Publications 52025: Publications 72026: Publications 4

h-index evolution

Cumulative h-index by year

03581020232024202520262023: h-index 02024: h-index 12025: h-index 52026: h-index 6

Most-cited works

  1. Habitat quality and degradation change analysis for the Sundarbans mangrove forest using invest habitat quality model and machine learning20247 citations
  2. Potential effects of projected global sea level rise on Sundarbans mangrove wetland ecosystem: insights from SLAMM and hybrid machine learning models20257 citations
  3. Coastal vulnerability assessment for the Sundarbans mangrove ecosystem using InVEST and machine learning-based empirical models20254 citations
  4. Exploring <scp>ML</scp> ‐Driven Insights on the Impact of Rising Soil Salinity on Sundarbans Mangrove Ecosystems and Ecological Sustainability Through Nature‐Based Solutions20253 citations
  5. AI-driven spatio-temporal prediction of chlorophyll-a dynamics and coastal productivity in the Northern Bay of Bengal20252 citations
  6. Assessing forest health of sundarbans biosphere reserve: a nature-based climate solutions using machine learning and multicriteria decision analysis20251 citations
  7. Soil moisture retrieval and ecohydrological assessment for sundarbans delta using multi-temporal Sentinel-1 SAR20250 citations
  8. Predicting coastal subsidence and sea-level scenarios in the Sundarbans Delta using InSAR and artificial intelligence for sustainable coastal management20260 citations
  9. Assessing habitat risks of mangrove species in the sundarbans: A cloud-based earth observation and invest HRA approach20260 citations
  10. 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 citations