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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
Next issue: Feb 2025
Avg review time: 57 days
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  3/2009 - 2

 HIGHLY CITED PAPER 

GEOBARN: A Practical Grid Geospatial Database System

HUANG, Z. See more information about HUANG, Z. on SCOPUS See more information about HUANG, Z. on IEEExplore See more information about HUANG, Z. on Web of Science, FANG, Y. See more information about  FANG, Y. on SCOPUS See more information about  FANG, Y. on SCOPUS See more information about FANG, Y. on Web of Science, XIE, X. See more information about  XIE, X. on SCOPUS See more information about  XIE, X. on SCOPUS See more information about XIE, X. on Web of Science, PAN, M. See more information about PAN, M. on SCOPUS See more information about PAN, M. on SCOPUS See more information about PAN, M. on Web of Science
 
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Download PDF pdficon (939 KB) | Citation | Downloads: 1,710 | Views: 6,123

Author keywords
distributed database, grid computing, GIS

References keywords
data(12), spatial(6), information(6), geospatial(6), system(4), knowledge(4), distributed(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 7 - 11
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03002
Web of Science Accession Number: 000271872000002
SCOPUS ID: 77954684261

Abstract
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Recently, more and more geospatial data are generated and distributed with the promising data acquirement techniques like satellite imaging and digital cartography. So, it is an important issue to effectively make use of these huge geospatial data resources. This means that effective data processing technologies need to be developed to support distributed query and analysis operations onto the distributed resources. The emergence of grid computing technology offers a good solution to accomplish this goal. To combine the grid computing technique with geospatial database we design and implement a GGDS (Grid Geospatial Database System) prototype named GEOBARN. Key modules and detailed implementation methods of GEOBARN are discussed in this paper. By using the GEOBARN system, both reliable data management and effective distributed geospatial query can be achieved.


References | Cited By  «-- Click to see who has cited this paper

[1] M. Erwig, M. Schneider and R.H. Guting, "Temporal Objects for Geospatial Data Models and a Comparison of Their Representations", Proceedings of the Workshops on Data Warehousing and Data Mining (1998)

[2] Y. Xue, A.P. Cracknell and H.D. Guo, "Telegeoprocessing: The integration of remote sensing, geographic information system (GIS), global positioning system (GPS) and telecommunication", International Journal of Remote Sensing. 23: 1851-1893 (2002)
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 37]


[3] Z. Shen, J. Luo and C. Zhou, "Architecture design of grid GIS and its applications on image processing based on LAN", Information Sciences. 166:1-17 (2004)
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 48]


[4] I. Foster, C. Kesselman, J.M. Nick and S. Tuecke "Grid services for distributed system integration", Computer. 6:37-46 (2002)
[CrossRef] [Web of Science Times Cited 639] [SCOPUS Times Cited 1056]


[5] "The Globus Project Argonne National Laboratory USC Information Sciences Institute: Grid Architecture", Available from: http://www.globus.org

[6] N. Giannadakis, A. Rowe, M. Ghanem, Y. K. Guo, "InfoGrid: providing information integration for knowledge discovery", Information Sciences. 155:199-226 (2003)
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 30]


[7] C.C. Aggarwal, "A framework for diagnosing changes in evolving data streams", Proceedings of the 2003 ACM SIGMOD international conference on Management of data (2003)
[CrossRef]


[8] H. Cao, O. Wolfson and G. Trajcevski, "Geospatial data reduction with deterministic error bounds", Proceedings of the 2003 joint workshop on Foundations of mobile computing (2003)

[9] M. J. Egenhofer, "Spatial SQL, A query and presentation language", IEEE Transactions on Knowledge and Data Engineering. 6(1): 86-95 (1994)
[CrossRef] [Web of Science Times Cited 167] [SCOPUS Times Cited 242]


[10] S.K. Harms, J. Deogun, S. Goddard, "Building knowledge discovery into a geo-spatial decision support system", Proceedings of the 2003 ACM symposium on Applied computing (2003)
[CrossRef]


[11] C.R. Lin, K.H. Liu, M.S. Chen, "Dual Clustering: Integrating Data Clustering over Optimization and Constraint Domains", IEEE Transactions on Knowledge and Data Engineering. 17(5): 39-48 (2005)
[CrossRef] [Web of Science Times Cited 43] [SCOPUS Times Cited 68]


[12] K. Hornsby, "Workshop Report - International Workshop on Temporal, Spatial, and Geospatial Data Mining", Proceedings of the First International Workshop on Temporal, Spatial, and Geospatial Data Mining (2000)

[13] Z. Huang, Y. Fang, B. Chen, D. Yin and X. Peng, "A Global View Oriented Approach to Directory Management in Distributed Spatial Database", Proceedings of SPIE-The International Society for Optical Engineering, Vol.6418, GNSS and Integrated Geospatial Applications. 64181O (2006)
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 4]


[14] L. Savary, T. Wan and K. Zeitouni, "Geospatial Data Warehouse Design for Human Activity Pattern Analysis", Proceedings of the Database and Expert Systems Applications, 15th International Workshop (2004)

[15] Z. Huang, B. Chen and Y. Fang, "An SQL Transformation Based Optimization Algorithm of Distributed Spatial Query", High Technology Letters. 17(10): 1013-1018(2007)

[16] Z. Huang, X. Peng and K. Zhang. "An Approach to Geographic SQL Global Parsing under Distributed Computation Circumstance", Geography and Geographic Information Science. 21(3): 18-21(2006)



References Weight

Web of Science® Citations for all references: 925 TCR
SCOPUS® Citations for all references: 1,485 TCR

Web of Science® Average Citations per reference: 54 ACR
SCOPUS® Average Citations per reference: 87 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-12-18 20:55 in 65 seconds.




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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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