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nature machine intelligence

ISSN 2522-5839· EN

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16.3 / 100
Journament Score
Poor
Ranked #29,273 of 29,297 scored journals (34,016 indexed)
33 Articles
Scores higher than 0% 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 nat mach intell
Abbreviated Name nat mach intell
ISSN 2522-5839
URL https://www.nature.com/natmachintell

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.9 30.5
Accessibility 20.0 23.1
Timeliness 0.0 3.0
Diversity 5.6 26.4
Innovation 10.5 24.1
Community Impact 5.0 4.5
Content Distribution 34.3 89.3
Content Quality — 55.1
Ethics & Transparency — 40.5
Editorial Standards — 33.0
Publication Regularity — 52.9
Geographic Reach — 30.4

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
352 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
295 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
279 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
272 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. -
261 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
250 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. -
250 views 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
242 views DOI 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. -
236 views Abstract
2010
transiÇÕes institucionais nos transportes pÚblicos: a experiÊncia britÂnica de desregulamentaÇÃo
;Joaquim Jose Guilherme de Aragão
Vol. 3 , No. 2 , pp. -
230 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
352 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
156 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
78 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
242 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
279 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
45 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
38 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
295 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
55 views DOI Abstract
2016
.
;Elisa Sakamoto;Josiane Palma Lima
Vol. 24 , No. 1 , pp. 63-73
43 views DOI Abstract
Journament Score
16.3/100 · Poor
Ranked #29,273 of 29,297 scored
(34,016 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

16.3/100

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

30.9/100

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

20.0/100

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

5.6/100

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

10.5/100

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

5.0/100

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

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

34.3/100

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.