Organic vs. standard photodetectors (Mini Review)

Organic semiconductors (OSCs) have been found to be a prominent group of optoelectronic materials extensively researched for more than 40 years due to their ability to tune capabilities by modifying chemical structure and simple processing. Their performance has been significantly improved, advancing from the fast development in the design and synthesis of new OSC materials. This paper attempts to essentially confront the performance of organic photodetectors with standard detectors dominating the global commercial market. Special attention was paid to the organic field-effect transistor (FET) phototransistors detectivity overestimates.

Institutions

Publication Details

Journal
Opto-Electronics Review
Published
2025-01-27
DOI
https://doi.org/10.24425/opelre.2025.153812
Citations
1
Primary Topic
Organic Electronics and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Organic vs. standard photodetectors (Mini Review)

1 citations
Opto-Electronics Review
Organic Electronics and Photovoltaics
0.73
article

Organic vs. standard photodetectors (Mini Review)

article en
1 citations

Abstract

Organic semiconductors (OSCs) have been found to be a prominent group of optoelectronic materials extensively researched for more than 40 years due to their ability to tune capabilities by modifying chemical structure and simple processing. Their performance has been significantly improved, advancing from the fast development in the design and synthesis of new OSC materials. This paper attempts to essentially confront the performance of organic photodetectors with standard detectors dominating the global commercial market. Special attention was paid to the organic field-effect transistor (FET) phototransistors detectivity overestimates.

Opto-Electronics Review
Military University of Technology in Warsaw (PL), Shanghai Institute of Technical Physics (CN)
Openalex Percentile: Top 32%
Organic Electronics and Photovoltaics
0.73
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.