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technological and economic development of economy

ISSN 2029-4913· EN

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33.8 / 100
Journament Score
Poor
Ranked #14,058 of 29,324 scored journals (33,995 indexed)
18 Articles
Scores higher than 52% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name technological and economic development of economy
Abbreviated Name technological and economic development of economy
ISSN 2029-4913

Quality Profile

5 of 12 dimensions measured
Engagement 30.6
Timeliness 0.0
Innovation 51.0
Community Impact 7.9
Content Distribution 71.8
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

7 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 5 dimensions measured there is not enough of a profile to draw as a shape.

Show the numbers
Dimension This journal Corpus average
Engagement 30.6 30.4
Accessibility — 19.1
Timeliness 0.0 9.2
Diversity — 25.8
Innovation 51.0 27.4
Community Impact 7.9 7.8
Content Distribution 71.8 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (18)

2018
Multiattribute evaluation of organic and inorganic agricultural food investments using fuzzy TOPSIS
Suder, Asli;Kahraman, Cengiz;
Vol. 24 , No. 3 , pp. -
472 views Abstract
2016
Multivariate Granger causality between CO2 emissions, energy intensity and economic growth in Portugal: evidence from cointegration and causality analysis
Shahbaz, Muhammad;Jam, Farooq Ahmed;Bibi, Sadia;Loganathan, Nanthakumar;
Vol. 22 , No. 1 , pp. -
454 views Abstract
2010
Automation of update of digital national geo‐reference databases / Nacionalinių georeferencinių duomenų bazių atnaujinimo automatizavimas
Stankevičius, Žilvinas;Beconytė, Giedrė;Kalantaitė, Aušra;
Vol. 16 , No. 2 , pp. -
452 views Abstract
2019
Remanufacturing with patented technique royalty under asymmetric information and uncertain markets
Gao, Jie;Liang, Zhilei;Shang, Jennifer;Xu, Zeshui;
, pp. -
369 views Abstract
2019
Board of director’s gender diversity and its impact on earnings management: An empirical analysis for select european firms
Saona, P.
Vol. 25 , pp. 634-663
369 views DOI
2014
proteomic insights into non-small cell lung cancer: new ideas for cancer diagnosis and therapy from a functional viewpoint
;Johannes Linxweiler;Laxmikanth Kollipara;René P. Zahedi;Pavel Lampel;Richard Zimmermann;Markus Greiner
Vol. 4 , No. C , pp. 25-39
362 views DOI Abstract
2015
A hybrid model for decision-making in the information and Communications Technology sector
Cid-López, Andrés;Hornos, Miguel J.;Carrasco, Ramón Alberto;Herrera-Viedma, Enrique;
Vol. 21 , No. 5 , pp. -
346 views Abstract
2014
proteomic and genomic analysis reveals novel campylobacter jejuni outer membrane proteins and potential heterogeneity
;Eleanor Watson;Aileen Sherry;Neil F. Inglis;Alex Lainson;Dushyanth Jyothi;Raja Yaga;Erin Manson;Lisa Imrie;Paul Everest;David G.E. Smith
Vol. 4 , No. C , pp. 184-194
319 views DOI Abstract
2014
Measuring bank efficiency: DEA application
Titko, Jelena;Stankevičienė, Jelena;Lāce, Nataļja;
Vol. 20 , No. 4 , pp. -
314 views Abstract
2016
Project network management: risks and contributors from the viewpoint of contractors and sub-contractors
Hwang, Bon Gang;Ng, Han Boey;
Vol. 22 , No. 4 , pp. -
303 views Abstract
2019
Remanufacturing with patented technique royalty under asymmetric information and uncertain markets
Gao, Jie;Liang, Zhilei;Shang, Jennifer;Xu, Zeshui;
, pp. -
369 views Abstract
2019
Board of director’s gender diversity and its impact on earnings management: An empirical analysis for select european firms
Saona, P.
Vol. 25 , pp. 634-663
369 views DOI
2018
Employing FAHP to de-codify the determinants of trade agreements: a case of the EU-India trade talks
Khorana, Sangeeta;Cho, Jaemin;Lee, Jaeho;Disegna, Marta;
Vol. 24 , No. 6 , pp. -
74 views Abstract
2018
Multiattribute evaluation of organic and inorganic agricultural food investments using fuzzy TOPSIS
Suder, Asli;Kahraman, Cengiz;
Vol. 24 , No. 3 , pp. -
472 views Abstract
2017
comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease
;Scott D. Bringans;Jun Ito;Thomas Stoll;Kaye Winfield;Michael Phillips;Kirsten Peters;Wendy A. Davis;Timothy M.E. Davis;Richard J. Lipscombe
Vol. 14 , No. C , pp. 1-10
256 views DOI Abstract
2016
the eupa standardization initiative
;F. Canals;F. Elortza;A. Paradela;G. Corthals;Michelle Camenzuli;A. Muñoz;O. Schiltz;Anne Gonzalez de Peredo;A Sickman;C. Borchers;Fernando J. Corrales
Vol. 11 , No. C , pp. 31-32
109 views DOI
2016
towards a functional definition of the mitochondrial human proteome
;Mauro Fasano;Tiziana Alberio;Mohan Babu;Emma Lundberg;Andrea Urbani
Vol. 10 , No. C , pp. 24-27
151 views DOI Abstract
2016
Multivariate Granger causality between CO2 emissions, energy intensity and economic growth in Portugal: evidence from cointegration and causality analysis
Shahbaz, Muhammad;Jam, Farooq Ahmed;Bibi, Sadia;Loganathan, Nanthakumar;
Vol. 22 , No. 1 , pp. -
454 views Abstract
2016
Project network management: risks and contributors from the viewpoint of contractors and sub-contractors
Hwang, Bon Gang;Ng, Han Boey;
Vol. 22 , No. 4 , pp. -
303 views Abstract
2015
detecting significant changes in protein abundance
;Kai Kammers;Robert N. Cole;Calvin Tiengwe;Ingo Ruczinski
Vol. 7 , No. C , pp. 11-19
284 views DOI Abstract
Journament Score
33.8/100 · Poor
Ranked #14,058 of 29,324 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

33.8/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.6/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

Not yet measured

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

Not yet measured

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

51.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

7.9/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

0.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

71.8/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.