ISSN: 1300-0632

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Turkish Journal of Electrical Engineering and Computer Sciences Q2 Unclaimed

TUBITAK Turkey

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Turkish Journal of Electrical Engineering and Computer Sciences is a journal indexed in SJR in Electrical and Electronic Engineering and Computer Science (miscellaneous) with an H index of 45. It has an SJR impact factor of 0,36 and it has a best quartile of Q2. It is published in English. It has an SJR impact factor of 0,36.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Computer Science (miscellaneous) (Q2) Electrical and Electronic Engineering (Q3)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

Turkish Journal of Electrical Engineering and Computer Sciences

0,36

SJR Impact factor

45

H Index

51

Total Docs (Last Year)

443

Total Docs (3 years)

2070

Total Refs

827

Total Cites (3 years)

443

Citable Docs (3 years)

1.99

Cites/Doc (2 years)

40.59

Ref/Doc

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Applied Artificial Intelligence Q2
International Journal of Adaptive Control and Signal Processing Q2
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Aims and Scope

Best articles by citations

Semiconductor laser beam bending

The detailed analysis of rate equation roots of BH-laser diode using Volterra series

Frequency-emulated uniform cellular automata

A new high-performance current-mode fuzzy membership function circuit and its application

Optimization of electrical power transmission lines' routing using AHP, fuzzy AHP, and GIS

Design and implementation of a microcontroller-based wind energy conversion system

PRESCIENT: A predictive channel access schemefor IEEE 802.15.4-compliant devices considering IEEE 802.11 coexistence

Performance analysis of a 500-kWp grid-connected solar photovoltaic power plant in Kahramanmaras

A new approach for edge detection in noisy images based on the LPGPCA technique

Improving the performance of primal--dual interior-point method in inverse conductivity problems

A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces

Implementation of neural network-based maximum power tracking control for wind turbine generators

SHOW MORE ARTICLES

Performance analysis of a low-cost current-source 1-ph grid-connected PV inverter

Determination of electromagnetic properties of steel for prediction of stray losses in power transformers

An implementable approach in order to model a nonideal incremental encoder in speed measurement studies

A novel control method for a VSC-HVDC system in a grid-connected wind farm

Design and control of a visual servomechanism for automating corneal cross-linking treatment in keratoconus patients

Stock daily return prediction using expanded features and feature selection

A comparison of fuzzy logic and PID controllers to control transmitted power using a TCSC

Effective cooperative DTV detection using the Goertzel algorithm

Contrast enhancement using linear image combinations algorithm (CEULICA) for enhancing brain magnetic resonance images

Study of MAC routing in the BPLC P1901 access network: fixed vs. adaptive approach

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

A new bitwise voting strategy for safety-critical systems with binary decisions