Progress in global parallel computing research: a bibliometric approach

This study adopts a bibliometric approach to analyze the progress in global parallel computing research from the related literature in the Science Citation Index Expanded database from 1958 to 2011. By investigating the characteristics of annual publication outputs, we find that parallel computing h...

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Published in:	Scientometrics Vol. 95; no. 3; pp. 967 - 983
Main Authors:	Liu, Zhongqiu, Liu, Yaolin, Guo, Yangjie, Wang, Hua
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.06.2013 Springer
Subjects:	Bibliometrics Bibliometrics. Scientometrics Bibliometrics. Scientometrics. Evaluation Citation analysis Computer Science Exact sciences and technology Information and communication sciences Information science. Documentation Information Storage and Retrieval Library and information science. General aspects Library Science Publication output Sciences and techniques of general use Parallel computing Citing-cited matrix Bibliometric analysis Research trends Research field Filing Citation analysis Bibliometrics Scientific research Database Comparative study Author productivity
ISSN:	0138-9130, 1588-2861
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Abstract	This study adopts a bibliometric approach to analyze the progress in global parallel computing research from the related literature in the Science Citation Index Expanded database from 1958 to 2011. By investigating the characteristics of annual publication outputs, we find that parallel computing has recently experienced increasing attention again after its first rapid development in the 1990s, and the research in this field is entering into a new phase. The distribution of publications indicates that the seven major industrial countries (G7), with USA ranking top, are identified as the most productive and influential countries in this domain. Author keywords were analyzed by comparison, and we conclude that the study focus of parallel computing has shifted from hardware to software, with parallel application and programming based on MPI, GPUs and multicores being the research tendencies; grid computing and cloud computing dominate the distributed computing area due to their heterogeneous and scalable structures; and, furthermore, the processors of parallel machines are heading for a diverse development. The citing - cited matrix brings into light the intense interactions among the disciplines of computer science , engineering , mathematics and physics . The mutual interactions between the four disciplines have increased gradually and reflect the subject characteristics in influence content.
AbstractList	This study adopts a bibliometric approach to analyze the progress in global parallel computing research from the related literature in the Science Citation Index Expanded database from 1958 to 2011. By investigating the characteristics of annual publication outputs, we find that parallel computing has recently experienced increasing attention again after its first rapid development in the 1990s, and the research in this field is entering into a new phase. The distribution of publications indicates that the seven major industrial countries (G7), with USA ranking top, are identified as the most productive and influential countries in this domain. Author keywords were analyzed by comparison, and we conclude that the study focus of parallel computing has shifted from hardware to software, with parallel application and programming based on MPI, GPUs and multicores being the research tendencies; grid computing and cloud computing dominate the distributed computing area due to their heterogeneous and scalable structures; and, furthermore, the processors of parallel machines are heading for a diverse development. The citing-cited matrix brings into light the intense interactions among the disciplines of computer science, engineering, mathematics and physics. The mutual interactions between the four disciplines have increased gradually and reflect the subject characteristics in influence content. Adapted from the source document. This study adopts a bibliometric approach to analyze the progress in global parallel computing research from the related literature in the Science Citation Index Expanded database from 1958 to 2011. By investigating the characteristics of annual publication outputs, we find that parallel computing has recently experienced increasing attention again after its first rapid development in the 1990s, and the research in this field is entering into a new phase. The distribution of publications indicates that the seven major industrial countries (G7), with USA ranking top, are identified as the most productive and influential countries in this domain. Author keywords were analyzed by comparison, and we conclude that the study focus of parallel computing has shifted from hardware to software, with parallel application and programming based on MPI, GPUs and multicores being the research tendencies; grid computing and cloud computing dominate the distributed computing area due to their heterogeneous and scalable structures; and, furthermore, the processors of parallel machines are heading for a diverse development. The citing - cited matrix brings into light the intense interactions among the disciplines of computer science , engineering , mathematics and physics . The mutual interactions between the four disciplines have increased gradually and reflect the subject characteristics in influence content.
Author	Guo, Yangjie Wang, Hua Liu, Yaolin Liu, Zhongqiu
Author_xml	– sequence: 1 givenname: Zhongqiu surname: Liu fullname: Liu, Zhongqiu organization: School of Resource and Environmental Science, Wuhan University, Ministry of Education Key Lab Geographic Information System, Wuhan University – sequence: 2 givenname: Yaolin surname: Liu fullname: Liu, Yaolin email: yaolin610@163.com organization: School of Resource and Environmental Science, Wuhan University, Ministry of Education Key Lab Geographic Information System, Wuhan University – sequence: 3 givenname: Yangjie surname: Guo fullname: Guo, Yangjie organization: School of Resource and Environmental Science, Wuhan University – sequence: 4 givenname: Hua surname: Wang fullname: Wang, Hua organization: School of Resource and Environmental Science, Wuhan University, Ministry of Education Key Lab Geographic Information System, Wuhan University
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Cites_doi	10.1007/BF02017232 10.1016/0304-3975(86)90084-8 10.2514/3.9731 10.1016/0045-7949(91)90013-C 10.2169/internalmedicine.49.3687 10.1016/j.cag.2007.11.003 10.1016/0048-7333(90)90016-Y 10.1016/S0167-8191(00)00076-4 10.1016/j.technovation.2006.09.003 10.1016/S1383-7621(03)00102-4 10.1002/jcc.20289 10.1007/s11192-007-1928-0 10.1016/S0959-8049(99)00107-0 10.1016/S0022-0000(75)80008-0 10.1016/j.neucom.2004.01.011 10.1016/S0167-8191(97)00092-6 10.1002/cpe.748 10.1007/s11192-011-0381-2 10.1108/02644400010309610 10.1142/7547 10.1016/S0167-8191(05)80052-3 10.1109/2.214439 10.1177/016555159602200501 10.1007/BF01202143 10.1108/EUM0000000007205 10.1007/BF02093234 10.1016/S0926-9851(00)00012-4 10.1007/s10766-010-0137-2 10.1016/0045-7949(75)90034-6 10.1073/pnas.79.8.2554 10.1002/cnm.1630020309 10.1145/1506409.1506425 10.1177/109434200001400104 10.1016/0141-9331(93)90059-G 10.1145/320656.320657 10.1177/016555158501000406 10.1109/32.842947 10.1016/S0167-739X(99)00047-3 10.1073/pnas.81.10.3088 10.1093/comjnl/1.1.2 10.1145/234313.234345 10.1109/TC.1977.1674863 10.1016/0956-0521(93)90017-Q 10.1109/ARVLSI.1999.756051 10.1145/1463822.1463838 10.1145/1188455.1188565 10.1109/SHPCC.1992.232680 10.1109/SUPERC.1990.130037
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SubjectTerms	Bibliometrics Bibliometrics. Scientometrics Bibliometrics. Scientometrics. Evaluation Citation analysis Computer Science Exact sciences and technology Information and communication sciences Information science. Documentation Information Storage and Retrieval Library and information science. General aspects Library Science Publication output Sciences and techniques of general use
Title	Progress in global parallel computing research: a bibliometric approach
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