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Srinivasan, Ramesh; Boast, Robin; Becvar, Katherine; Furner, Jonathan

doi:10.1002/asi.v60:4

Cited by 61 publications

(3 citation statements)

References 551 publications

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“…While it is possible that there are GIScience sleeping beauties awaiting a delayed recognition, papers not cited in 15 years after publication are unlikely to ever receive a citation (Glänzel et al 2003, van Raan 2004. The absence of citations differs substantially between disciplines (Ghosh 1975, Stern 1990, Schwartz 1997, Larivière et al 2009. Publication output by the covered GIScience journals during the 15-year period analysed by the study.…”

Section: A Closer Look On Citations and Impactmentioning

confidence: 95%

A scientometric analysis of selected GIScience journals

Biljecki

2016

International Journal of Geographical Information Science

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A set of 12,436 papers published in 20 GIScience journals in the period 2000-2014 were analysed to extract publication patterns and trends. This comprehensive scientometric study focuses on multiple aspects: output volume, citations, national output and efficiency (output adjusted with econometric indicators), collaboration, altmetrics (Altmetric score, Twitter mentions, and Mendeley bookmarking), authorship, and length. Examples of notable observations are that 5% countries account for 76% of global GIScience output; a paper published 15 years ago received a median of 12 citations; and the share of international collaborations in GIScience has more than tripled since 2000 (31% papers had authors from multiple countries in 2014, an increase from 10% in 2000).

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Section: A Closer Look On Citations and Impactmentioning

confidence: 95%

A scientometric analysis of selected GIScience journals

Biljecki

2016

International Journal of Geographical Information Science

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“…By using a sliding window approach derived from [21], we are able to correct corrupted terms using the terms occurring before and after (if any) the corrupted term. This approach is modified from other approaches, in that it will not pass line feed boundaries, but will pass punctuation boundaries, as OCR errors typically introduce punctuation.…”

Section: ) Word-level Bigrams Selected Using Segments (Bi-seg)mentioning

confidence: 99%

Searching Corrupted Document Collections

Soo

2016

2016 12th IAPR Workshop on Document Analysis Systems (DAS)

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Historical documents are typically digitized using optical Character Recognition. While effective, the results may not always be accurate and are highly dependent on the input. Consequently, degraded documents are often corrupted. Our focus is finding flexible, reliable methods to correct for such degradation, in the face of limited resources. We extend upon our substring and context fusion based retrieval system known as Segments, to consider metadata. By extracting topics from documents, and supplementing and weighting our lexicon with co-occurring terms found in documents with those topics, we achieve a statistically significant improvement over the state-ofthe-art in all but one test configuration. Our mean reciprocal rank measured on two free, publicly available, independently judged datasets is 0.7657 and 0.5382.

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“…Otros estudios en relación con la colaboración científica han abordado aspectos como la relación entre el número de autores y la tasa de aceptación de los trabajos para su publicación por parte de las revistas científicas (Gordon, 1980), el número de citas recibidas (Narin y otros, 1991;Katz y Hicks, 1997;Persson y otros, 2004), la relación entre la colaboración y la financiación de las investigaciones (Heffner, 1981) o la vinculación entre la colaboración y la proximidad geográ-fica (Katz, 1994). Más recientemente, numerosos estudios abordan y tratan de medir la colaboración internacional (Lukkonen y otros, 1992 (Leydesdorff y Sun, 2009;Park y Leydesdorff, 2010), al constituir todas estas formas de colaboración destacados mecanismos que facilitan el progreso del conocimiento y la transferencia tecnológica (Bozeman y otros, 2013).…”

Section: La Colaboración Científica Como Objeto De Estudio: Líneas Deunclassified

La colaboración científica: principales líneas de investigación y retos de futuro

González‐Alcaide¹,

Ferri²

2014

Rev. esp. doc. cient.

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Resumen: La construcción del conocimiento es un proceso cooperativo que se ha intensificado considerablemente a lo largo de las últimas décadas, involucrando cualquier iniciativa de investigación a un número cada vez mayor de investigadores, instituciones, disciplinas y países. El presente estudio realiza una revisión bibliográfica de la literatura sobre colaboración científica. Se identifican los trabajos pioneros del área, el tipo de estudio y las variables analizadas. Se comenta la aproximación "clásica", basada en la obtención de indicadores bibliométricos, que ha adquirido una nueva dimensión analítica con el Análisis de Redes Sociales así como con las aproximaciones cuantitativas y cualitativas que tratan de indagar en las motivaciones y en las dinámicas del trabajo cooperativo. El estudio de la colaboración científica se ha abordado con metodologías y desde ópticas disciplinares muy diversas, según se puso de manifiesto en el Congreso "La colaboración científica: una aproximación multidisciplinar", celebrado en la Universitat de València en noviembre de 2013, que reunió a los principales expertos españoles en el tema. El presente ejemplar monográfico de Revista Española de Documentación Científica recoge una selección de diez trabajos presentados en el citado evento. Finalmente, se reflexiona sobre los principales retos que debe abordar la investigación en relación con la colaboración científica.Palabras clave: Colaboración científica; trabajo cooperativo; Ciencia y Tecnología; investigadores; investigación en colaboración. Scientific collaboration: main research lines and future challengesAbstract: The construction of knowledge is a collaborative process that has seen a dramatic growth over recent decades, since almost all research activities now involve increasing numbers of researchers, institutions, disciplines and countries. The present study provides a bibliographic review of the literature on research collaboration and identifies pioneering work on the topic, the types of studies undertaken and the variables analyzed. Several approaches are discussed: the "classical" approach, based on bibliometric indicators, which has taken on a new dimension with Social Network Analysis; and quantitative and qualitative approaches, which attempt to investigate the motivations and dynamics of collaborative work. The study of scientific collaboration has been undertaken using a variety of methodologies from different disciplinary perspectives. This was made evident at the Congress "Scientific collaboration: a multidisciplinary approach" held at University of Valencia in November 2013, which brought together leading experts on the subject from around Spain. This special issue of Revista Española de Documentación Científica contains ten selected papers presented at that event. We conclude this introductory paper by examining the main challenges that research into scientific collaboration should explore.

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Untitled

Cited by 61 publications

References 551 publications

A scientometric analysis of selected GIScience journals

A scientometric analysis of selected GIScience journals

Searching Corrupted Document Collections

La colaboración científica: principales líneas de investigación y retos de futuro

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