Indexed in Journament

nature machine intelligence

ISSN 2522-5839· EN

Journal Website Certificate of Indexing
Login or register to claim ownership or editorship of this journal.
37.8/100
Journament Score
#11,103
Journament Rank
33
Articles Indexed

About This Journal

Short Name nat mach intell
Abbreviated Name nat mach intell
ISSN 2522-5839
URL https://www.nature.com/natmachintell

Tools & Certificate of Indexing

Certificate of Indexing
Quality Badge Widget - Embed on Your Website

Display your journal's verified indexing scores on your website with our self-contained widget.

One-Line JavaScript Embed:
Advantages: Single-line script, seamless DOM integration, clickable badges linking to full journal profile.
Standard iFrame Embed Code:
Widget Preview:

Publications Per Year

Articles (33)

2019
Learning with Known Operators reduces Maximum Training Error Bounds.
Maier, Andreas K;Syben, Christopher;Stimpel, Bernhard;Würfl, Tobias;Hoffmann, Mathis;Schebesch, Frank;Fu, Weilin;Mill, Leonid;Kling, Lasse;Christiansen, Silke;
Vol. 1 , No. 8 , pp. 373-380
327 views DOI Abstract
2016
the present work objective is the analysis of the united states air cargo transport during a decade, from the year 2004 to 2014. the network theory is used and indicators such as closeness and betweenness are calculated. the present work compares the networks and the respective metrics of the two main airlines of the industry and the other 18 biggest companies what enables the evaluation of the impact of economic recessions, such as the one from 2008, on these networks and the detection of assymetries between companies of different sizes. it is possible to note that, among other aspects, the air cargo transport graph is heavily influenced by the two main private companies of the sector, fedex and ups, what can be pointed out by, e.g., the number of nodes of 178 and 106 in 2014 respectively for these networks compared to 81 from the other 18 biggest companies.
;Joao Pedro Pinheiro Malere;Vladimir Minas;Giovanna Miceli Ronzani Borille
Vol. 24 , No. 4 , pp. 1-9
259 views DOI Abstract
2017
estimativa do impacto das condições meteorológicas sobre a carga de trabalho dos controladores de tráfego aéreo na tma-sp
;Adilson Cleomenes Rocha;Maria Paulete Pereira Martins;Alexandre Luiz Dutra Bastos
Vol. 25 , No. 4 , pp. 120-135
243 views DOI Abstract
2011
low temperature specifications for asphalt binders: tests and simulation
;Lucas F. A. Lima Babadopulos;Malo La Gern;Emmanuel Chailleux;Sylvia Dreessen
Vol. 19 , No. 2 , pp. 7-15
236 views Abstract
2009
as agências de regulação dos serviços no brasil e na frança: transportes e telecomunicações
;Anisio Brasileiro;Rômulo Orrico Filho
Vol. 13 , No. 1 , pp. -
227 views Abstract
2016
estudo de parâmetros de compactação de solo para uso em pavimentos rodoviários
;Albaniza Maria Da Silva;Leda Christiane Lucena;Adriano Elísio Lucena;José Camapum de Carvalho;Paulo Germano Marinho
Vol. 24 , No. 4 , pp. 95-103
222 views DOI Abstract
2017
statistical models for the estimation of the origin-destination matrix from traffic counts
;Anselmo Ramalho Pitombeira Neto;Francisco Moraes Oliveira Neto;Carlos Felipe Grangeiro Loureiro
Vol. 25 , No. 4 , pp. 1-13
219 views DOI Abstract
2011
planejamento de rede logística de produtos agrícolas orgânicos: agrupamento de unidades em arranjos produtivos locais como estratégia para redução do custo logístico
;Adelaida Pallavicini Fonseca;Paulo Pessoa Guerra Neto;Edwin Pinto de la Sota Silva
Vol. 18 , No. 3 , pp. -
219 views Abstract
2009
método para avaliar a percepção do usuário sobre a qualidade de sistemas de transporte urbano sobre trilhos com utilização da tecnologia neuro-fuzzy
;Marcus Vinicius Quintella
Vol. 15 , No. 1 , pp. -
210 views Abstract
2010
transiÇÕes institucionais nos transportes pÚblicos: a experiÊncia britÂnica de desregulamentaÇÃo
;Joaquim Jose Guilherme de Aragão
Vol. 3 , No. 2 , pp. -
206 views Abstract
2019
Learning with Known Operators reduces Maximum Training Error Bounds.
Maier, Andreas K;Syben, Christopher;Stimpel, Bernhard;Würfl, Tobias;Hoffmann, Mathis;Schebesch, Frank;Fu, Weilin;Mill, Leonid;Kling, Lasse;Christiansen, Silke;
Vol. 1 , No. 8 , pp. 373-380
327 views DOI Abstract
2017
planos de mobilidade corporativa: análise e proposta de método para sua elaboração
;Guillermo Petzhold;Luis Antonio Lindau
Vol. 25 , No. 1 , pp. 01-11
122 views DOI Abstract
2017
avaliação da qualidade nos serviços de transporte rodoviário interestadual semiurbano de passageiros da região do distrito federal e dos municípios de seu entorno
;Paulo Henrique Costa;Marcelo Grangeiro Quirino;Sergio Ronaldo Granemann
Vol. 25 , No. 4 , pp. 83-95
47 views DOI Abstract
2017
statistical models for the estimation of the origin-destination matrix from traffic counts
;Anselmo Ramalho Pitombeira Neto;Francisco Moraes Oliveira Neto;Carlos Felipe Grangeiro Loureiro
Vol. 25 , No. 4 , pp. 1-13
219 views DOI Abstract
2017
estimativa do impacto das condições meteorológicas sobre a carga de trabalho dos controladores de tráfego aéreo na tma-sp
;Adilson Cleomenes Rocha;Maria Paulete Pereira Martins;Alexandre Luiz Dutra Bastos
Vol. 25 , No. 4 , pp. 120-135
243 views DOI Abstract
2017
projeto ponto de partida: o ensino de projetos de rodovias através de uma abordagem lúdico-real-didática
;Daniel Sergio Presta Garcia
Vol. 25 , No. 3 , pp. 135-165
12 views DOI Abstract
2016
métodos de seleção granulométrica com foco na resistência à deformação permanente
;Jorge Luis Santos Ferreira;Jorge Barbosa Soares;Juceline Batista dos Santos Bastos
Vol. 24 , No. 2 , pp. 46-52
9 views DOI Abstract
2016
the present work objective is the analysis of the united states air cargo transport during a decade, from the year 2004 to 2014. the network theory is used and indicators such as closeness and betweenness are calculated. the present work compares the networks and the respective metrics of the two main airlines of the industry and the other 18 biggest companies what enables the evaluation of the impact of economic recessions, such as the one from 2008, on these networks and the detection of assymetries between companies of different sizes. it is possible to note that, among other aspects, the air cargo transport graph is heavily influenced by the two main private companies of the sector, fedex and ups, what can be pointed out by, e.g., the number of nodes of 178 and 106 in 2014 respectively for these networks compared to 81 from the other 18 biggest companies.
;Joao Pedro Pinheiro Malere;Vladimir Minas;Giovanna Miceli Ronzani Borille
Vol. 24 , No. 4 , pp. 1-9
259 views DOI Abstract
2016
análise do impacto do período de projeto de pavimentos no custo global de obras rodoviárias
;Luiz Guilherme Rodrigues Mello;Márcio Muniz Farias;Ernesto Simões Preussler;Rodrigo Preussler
Vol. 24 , No. 4 , pp. 64-74
15 views DOI Abstract
2016
.
;Elisa Sakamoto;Josiane Palma Lima
Vol. 24 , No. 1 , pp. 63-73
13 views DOI Abstract
38
Overall
Poor
31
35
30
40
36
50
0
0
0
0
0
Journament

Overall Quality Score

37.8/100

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

30.5/100

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

35.0/100

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

30.0/100

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

40.0/100

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

36.0/100

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

50.0/100

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

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

Ethics & Transparency Score

0.0/100

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

0.0/100

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

0.0/100

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

0.0/100

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

0.0/100

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.