A Greener Future: Carbon Nanomaterials from Lignocellulose

Lignocellulosic materials (LCMs), abundant biomass residues, pose significant environmental challenges when improperly disposed of. LCMs, such as sugarcane bagasse, rice straw, saw dust and agricultural residues, are abundan... | Find, read and cite all the research you need on Tech Science Press

Authors

Institutions

Publication Details

Journal
JOURNAL OF RENEWABLE MATERIALS
Published
2024-12-12
DOI
https://doi.org/10.32604/jrm.2024.058603
Citations
28
Primary Topic
Nanomaterials for catalytic reactions
Type
article
Field-Weighted Citation Impact
7.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Greener Future: Carbon Nanomaterials from Lignocellulose

Samir Kamel, Hebat‐Allah S. Tohamy, Mohamed A. El-Sakhawy
28 citations
JOURNAL OF RENEWABLE MATERIALS
Nanomaterials for catalytic reactions
7.00
article

A Greener Future: Carbon Nanomaterials from Lignocellulose

Samir Kamel, Hebat‐Allah S. Tohamy, Mohamed A. El-Sakhawy
article en
28 citations

Abstract

Lignocellulosic materials (LCMs), abundant biomass residues, pose significant environmental challenges when improperly disposed of. LCMs, such as sugarcane bagasse, rice straw, saw dust and agricultural residues, are abundan... | Find, read and cite all the research you need on Tech Science Press

JOURNAL OF RENEWABLE MATERIALSVol. 13(1)
National Research Centre (EG)
National Research Centre, Science and Technology Development Fund
Responsible consumption and production
Openalex Percentile: Top 2%
Nanomaterials for catalytic reactions
7.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.