Global scientific production on GIS research by bibliometric analysis from 1997 to 2006

Tian, Yun; Wen, Cheng; Hong, Song

doi:10.1016/j.joi.2007.10.001

Cited by 93 publications

(66 citation statements)

References 24 publications

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“…For example, the global output in research on Geographic Information Systems (GIS) increased by a factor of three between 1997 and 2006 [14]. In medical informatics, the average growth rate in published articles per year was 12% over the period 1987-2006 [15].…”

Section: Introductionmentioning

confidence: 99%

Publication Growth in Biological Sub-Fields: Patterns, Predictability and Sustainability

Pautasso

2012

Sustainability

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Abstract:Biologists are producing ever-increasing quantities of papers. The question arises of whether current rates of increase in scientific outputs are sustainable in the long term. I studied this issue using publication data from the Web of Science (1991Science ( -2010 for 18 biological sub-fields. In the majority of cases, an exponential regression explains more variation than a linear one in the number of papers published each year as a function of publication year. Exponential growth in publication numbers is clearly not sustainable. About 75% of the variation in publication growth among biological sub-fields over the two studied decades can be predicted by publication data from the first six years. Currently trendy fields such as structural biology, neuroscience and biomaterials cannot be expected to carry on growing at the current pace, because in a few decades they would produce more papers than the whole of biology combined. Synthetic and systems biology are problematic from the point of view of knowledge dissemination, because in these fields more than 80% of existing papers have been published over the last five years. The evidence presented here casts a shadow on how sustainable the recent increase in scientific publications can be in the long term.

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Section: Introductionmentioning

confidence: 99%

Publication Growth in Biological Sub-Fields: Patterns, Predictability and Sustainability

Pautasso

2012

Sustainability

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“…The total global production output reached the mark of 500 articles published firstly in "Conservation" (1992) and "Spatial Analysis" (1993), followed by "GIS" (1995) and then by "Conservation GIS & Spatial Analysis", only in 2002. All these results indicate that "Conservation GIS & Spatial Analysis" can be considered a recent research theme, presenting a growing trend in publication that shows more similarities with production trends in "GIS", considered in exponential growth by Tian et al (2006), than with those of the other two topics analyzed.…”

Section: Publication Trendsmentioning

confidence: 79%

“…hegemony of knowledge), gaps or biases (e.g. temporal, taxonomic, geographic) that require further attention of the scientific community (Verbeek et al 2002;Tian et al 2008;Siqueira et al 2009). …”

Section: Publication Trends and Patterns In Conservation Gis And Spatiamentioning

confidence: 99%

GIS and Spatial Analysis Meet Conservation: a Promising Synergy to Address Biodiversity Issues

Lorini¹,

Paese²,

Uezu³

2011

Nat. Conserv.

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“…Different from traditional interpretive reviews, the bibliometric method and SNA are data-driven analyses that expose the hidden structures of a domain by data mining the literature, examples of metrics derived from these techniques include the H-index [9], co-word network [10], co-cited references or co-cited authors [11], and the social networks of co-authors [12]. Research using these methods have been conducted in many earth science related disciplines, including discipline level analyses of Geographic Information System (GIS) development [13], transport geography [14], and topical level analysis of Digital Elevation Models (DEMs) [15] and geo-ontology [16]. The journal Remote Sensing published an article that systematically reviewed applications that utilized the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) datasets [17].…”

Section: Introductionmentioning

confidence: 99%

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

Guan

et al. 2017

Remote Sensing

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Abstract:In this paper, we conducted a scientometric analysis based on the Night-Time Light (NTL) remote sensing related literature datasets retrieved from Science Citation Index Expanded and Social Science Citation Index in Web of Science core collection database. Using the methods of bibliometric and Social Network Analysis (SNA), we drew several conclusions: (1) NTL related studies have become a research hotspot, especially after 2011 when the second generation of NTL satellites, the Suomi National Polar-orbiting Partnership (S-NPP) Satellite with the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor was on board. In the same period, the open-access policy of the long historical dataset of the first generation satellite Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) started. (2) Most related studies are conducted by authors from USA and China, and the USA takes the lead in the field. We identified the biggest research communities constructed by co-authorships and the related important authors and topics by SNA. (3) By the visualization and analysis of the topic evolution using the co-word and co-cited reference networks, we can clearly see that: the research topics change from hardware oriented studies to more real-world applications; and from the first generation of the satellite DMSP/OLS to the second generation of satellite S-NPP. Although the Day Night Band (DNB) of the S-NPP exhibits higher spatial and radiometric resolution and better calibration conditions than the first generation DMSP/OLS, the longer historical datasets in DMSP/OLS are still important in long-term and large-scale human activity analysis. (4) In line with the intuitive knowledge, the NTL remote sensing related studies display stronger connections (such as interpretive frame, context, and academic purpose) to the social sciences than the general remote sensing discipline. The citation trajectories are visualized based on the dual-maps, thus the research preferences for combining the environmental, ecological, economic, and political science disciplines are clearly exhibited. Overall, the picture of the NTL remote sensing research is presented from the scientist-level, topic-level, and discipline-level interactions. Based on these analyses, we also discuss the possible trends in the future work, such as combining NTL studies with social science research and social media data.

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Global scientific production on GIS research by bibliometric analysis from 1997 to 2006

Cited by 93 publications

References 24 publications

Publication Growth in Biological Sub-Fields: Patterns, Predictability and Sustainability

Publication Growth in Biological Sub-Fields: Patterns, Predictability and Sustainability

GIS and Spatial Analysis Meet Conservation: a Promising Synergy to Address Biodiversity Issues

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

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