Altındağ, Tuğba

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8440
Name Variants
Tugba, Altindag
Altındağ, Tuğba
Altindag,T.
T., Altindag
A., Tugba
A.,Tuğba
T.,Altındağ
Altındağ,T.
Tuğba, Altındağ
A.,Tugba
Altindag, Tugba
T.,Altindag
Altindaǧ,T.
Job Title
Araştırma Görevlisi
Email Address
Main Affiliation
Computer Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

SDG data is not available
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

3

Articles

2

Views / Downloads

0/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

17

Scopus Citation Count

25

WoS h-index

2

Scopus h-index

3

Patents

0

Projects

0

WoS Citations per Publication

5.67

Scopus Citations per Publication

8.33

Open Access Source

0

Supervised Theses

0

Google Analytics Visitor Traffic

JournalCount
2009 International Conference on Application of Information and Communication Technologies, AICT 2009 -- 2009 International Conference on Application of Information and Communication Technologies, AICT 2009 -- 14 October 2009 through 16 October 2009 -- Baku -- 794471
Optoelectronics and Advanced Materials, Rapid Communications1
Tehnicki Vjesnik1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

2009 - 200912010 - 20111
Reset filters

Settings

COAR Resource Type: text::journal::journal article

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation - WoS: 14
    Citation - Scopus: 15
    An Accurate Optical Gain Model Using Adaptive Neuro-Fuzzy Inference System
    (Natl inst Optoelectronics, 2009) Celebi, F. V.; Altindag, T.; Computer Engineering
    This paper presents a single, simple, new and an accurate optical gain model based on adaptive neuro-fuzzy inference system (ANFIS) which combines the benefits of Artificial Neural Networks (ANNs) and Fuzzy Inference Systems (FISs). The dynamic optical gain model results are in very good agreement with the previously published experimental findings.
  • Thumbnail Image
    Article
    Citation - WoS: 3
    Citation - Scopus: 3
    The Impact of Cognitive and Socio-Demographic Factors at Meetings During Software Development Process
    (Univ Osijek, Tech Fac, 2011) Akman, Ibrahim; Misra, Sanjay; Altindag, Tugba; Computer Engineering
    Most of the important decisions are taken at team meetings during software development process (SDP) and the way of thinking of project leader plays an important role in achieving quality objectives at these team meetings. Considering this important issue, this paper investigates the impact of cognitive and socio-demographic factors on manager's simple thinking style towards improving the quality of team meetings in SDP. We have performed experimentations among Information and Communication Technologies' (ICT) senior professionals and managers from government and private sector organizations for this purpose. The hypotheses have been developed under different empirical categories and then statistical analysis techniques have been used to draw inferences. The results indicate that "type of team meetings", "project leader's cognitive characteristics" and "adoption of a cognitive model at team meetings" have statistically significant impact on manager's simple thinking in terms of improving productivity and contribution of team meetings.