The structure and infrastructure of Mexico's science and technology

Kostoff, Ronald N.; Río, J. A. del; Cortés, Héctor D.; Smith, Charles H.; Smith, Andrew; Wagner, Caroline S.; Leydesdorff, Loet; Karypis, George; Malpohl, Guido; Tshiteya, Rene

doi:10.1016/j.techfore.2005.02.001

Cited by 23 publications

(11 citation statements)

References 26 publications

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“…For example, Kostoff has very complete and systematic studies on literature-related analysis, and published a series of papers based on combination of text mining and statistics on scientific papers. Also he proposes a systematic literature-related discovery method for linking two or more literature concepts that have heretofore not been linked, in order to produce novel, interesting, plausible, and intelligible knowledge (Kostoff et al 1998(Kostoff et al , 20022005a, b, 2007a, b, c, d, e, 2008aKostoff 2008a, b, c;Kostoff and Briggs 2008). Ding et al (2001) mapped information retrieval research using co-word analysis on papers collected from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997.…”

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confidence: 99%

Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

2010

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This study proposes an approach for visualizing a knowledge structure, the proposed approach creates a three-dimensional ''Research focused parallelship network'', a ''Keyword Co-occurrence Network'', and a two-dimensional knowledge map to facilitate visualization of the knowledge structure created by journal papers from different perspectives. The networks and knowledge maps can be depicted differently by choosing different information as the network actor, e.g. author, institute or country keyword, to reflect knowledge structures in micro-, meso-, and macro-levels, respectively. Technology Foresight is selected as an example to illustrate the method proposed in this study. A total of 556 author keywords contained in 181 Technology Foresight related papers have been analyzed. European countries, China, India and Brazil are located at the core of Technology Foresight research. Quantitative ways of mapping journal papers are investigated in this study to unveil emerging elements as well as to demonstrate dynamics and visualization of knowledge. The quantitative method provided in this paper shows a possible way of visualizing and evaluating knowledge structure; thus a computerized calculation is possible for potential quantitative applications, e.g. R&D resource allocation, research performance evaluation, science map, etc.

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Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

2010

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“…En América Latina se usa con frecuencia el Factor de Impacto para evaluar a los autores y a las revistas de la región, lo que afecta las posibilidades de recibir financiamiento y beneficios para las revistas, así como de obtener financiamiento, empleo, ascenso y plaza en propiedad en los sistemas de ciencias de los países latinoamericanos (ver por ejemplo los enfoques en Kostoff, del Río, Cortés, Smith, Smith, Wagner, Leydesdorff et al, 2005;Téllez-Zenteno, Morales-Buenrostro & Estañol, 2007). Algunos autores incluso consultan el Factor de Impacto antes de decidirse a enviar un manuscrito a una revista.…”

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La invalidez del Factor de Impacto como indicador del impacto de las revistas científicas latinoamericanas

Mónge-Nájera¹

2014

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The invalidity of the Impact Factor as indicator of the impact of Latin American scientific journals. Use of the Impact Factor is currently being discarded in industrialized countries where, to name one case, up to 40% of the articles published in Nature are never cited, despite the high Impact Factor of that journal. However, it is still used in Latin America to evaluate journals and authors, potentially influencing who are given positions and who receives funding. To find out how valid the Impact Factor is for Latin American research, I used the database BINABITROP to see how much of the relevant literature was used to measure impact. I found that the Science Citation Index (SCI) excluded 96% of the relevant literature when measuring the impact of biological articles about Costa Rica for the studied year (2011). Therefore, the impact of Latin American science is unknown and the Impact Factor should not be used to assess how often a journal, institution or author are cited. Rev. Biol. Trop. 62 (1): 9-13. Epub 2014 March 01.

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“…7 This study examined many clustering techniques for identifying core competencies. As a precursor to visits by ONR personnel to Finland, it was desired to identify core Finnish research competencies using the experience gained from the Mexico study and developing additional capabilities.…”

Section: Finnish Research Literature 189mentioning

confidence: 99%