Papers of interest to Sig Metrics readers]

Eugene Garfield eugene.garfield at THOMSONREUTERS.COM
Fri May 4 12:25:44 EDT 2012


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TITLE:          Conceptualizing and Advancing Research Networking Systems
                (Article, English)
AUTHOR:         Schleyer, T; Butler, BS; Song, M; Spallek, H
SOURCE:         ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION 19 (1).
                MAR 2012. p.NIL_32-NIL_57 ASSOC COMPUTING MACHINERY, NEW
                YORK

SEARCH TERM(S):  MARON ME  rauth

KEYWORDS:       Online knowledge communities; social networks; social
                software; Web 2.0; Web 2.0 applications; Web
                collaborative software
KEYWORDS+:       COLLABORATIVE RESEARCH; SOCIAL NETWORK; SCIENTIFIC
                COLLABORATION; INFORMATION; SEARCH; MODELS; COSTS; TIES;
                WEB; IMPLEMENTATION

ABSTRACT:       Science in general, and biomedical research in
particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems
(RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture, and evaluation. Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers' need for comprehensive information and potential collaborators' desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user's primary work context.
Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems.

AUTHOR ADDRESS: T Schleyer, Univ Pittsburgh, Sch Dent Med, Ctr Dent
                Informat, Pittsburgh, PA 15260 USA
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TITLE:          The scientometric evaluation of the research on the DEAF
                students in higher education (Article, English)
AUTHOR:         Konur, O
SOURCE:         ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART B-SOCIAL
                AND EDUCATIONAL STUDIES 4 (3). JUL 2012. p.1573-1588
                SILA SCIENCE, TRABZON

SEARCH TERM(S):  SCIENTOMETRIC*  item_title

KEYWORDS:       Deaf students; students with hearing impairments; higher
                education; disabled students; scientometrics; research
                evaluation
KEYWORDS+:       HARD-OF-HEARING; MICROBIAL FUEL-CELLS; HIGH-SCHOOL-
                STUDENTS; COLLEGE-STUDENTS; UNIVERSITY-STUDENTS;
                POSTSECONDARY EDUCATION; DISABLED STUDENTS; BIBLIOMETRIC
                ANALYSIS; CITATION ANALYSIS; ATTITUDES

ABSTRACT:       The present study explores the characteristics of the
literature on the deaf students in higher education published during the last three decades, based on the databases of Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) and its implications using the scientometric techniques. The results of this study reveal that the literature in this field has grown exponentially during this period with 312 papers in total with paralleling enormous changes in the research landscape. Papers are mostly journal articles, reviews, and proceedings, being predominantly in English. The US is the most publishing country producing three-quarters of the output. The "Rochester Institute of Technology" is the most contributing institution.
The most publishing author is "Kelly RR". "American Annals of the Deaf"
is the most publishing journal whilst, "Rehabilitation" is the most published subject area. The total number of citations is 1,356, giving a ratio for the "Average Citations per Item" as 4.5 and "H-index" as 18.
Hanson et al. [1] has had the highest impact on the literature. The results of this first ever such study of its kind, show that the scientometric analysis has a great potential to gain valuable insights into the evolution of the research on the deaf students in higher education.

AUTHOR ADDRESS: O Konur, Sirnak Univ, Fac Engn, TR-73000 Sirnak, Turkey
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TITLE:          The evaluation of the research on the arts and humanities
                in Turkey: A scientometric approach (Article, English)
AUTHOR:         Konur, O
SOURCE:         ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART B-SOCIAL
                AND EDUCATIONAL STUDIES 4 (3). JUL 2012. p.1603-1618
                SILA SCIENCE, TRABZON

SEARCH TERM(S):   
                 GARFIELD E         CURR CONTENTS   0922     :3     1986;
                 GARFIELD E         LIBRARY Q              50:40    1980

KEYWORDS:       Arts; Humanities; Architecture; A&HCI; incentive
                structures; research evaluation; research productivity;
                scientometrics; Web of Knowledge
KEYWORDS+:       SOCIAL-SCIENCES; RESEARCH PERFORMANCE; UNIVERSITY-
                STUDENTS; SCIENTIFIC OUTPUT; CITATION; AUTHORS;
                PUBLICATIONS; INSTITUTIONS; DEPARTMENTS; ARTIFACTS

ABSTRACT:       The present study explores the characteristics of the
research on the Arts & Humanities carried out by the researchers in Turkey and published during the last three decades based on the Arts & Humanities Citation Index (A&HCI) and its implications using the scientometric techniques. The results of this study reveal that the research output on the Arts and Humanities and the citations received have grown exponentially during this period especially during the 2000s with paralleling enormous changes in the research landscape. However, the research performance of the researchers in Turkey in the fields of Arts and Humanities (1,705 papers and 1,745 citations) have lagged significantly behind the comparitive performance of Turkey in the Social Sciences but especially in Hard Sciences like Engineering and Health Sciences. The US, England, and France have been the three most prolific collaborating countries. The "Bilkent Univ" has been the most prolific instituion and "Almond I" of "Bilkent Univ" has been the most prolific author. "Milli Folkor" (National Folklore) has been the most prolific journal whilst "Archaeology" has been the most prolific subject area. "H- index" was 16 and "Kita & Ozyurek" [1] has had the highest impact on the literature. The scientometric analysis has a great potentail to gain valualbe insights into the evolution of the research on the Arts and Humanities in Turkey, complementing the scientometric studies in the other fields such as renewable energies as well as students with disabilities providing a unique insight on the incentive structures for all the key stakeholders in the field. It was concluded in this context that the incentive structures have not been well designed to produce superior research performance in Arts & Humanities in Turkey as in Hard Sciences such as Engineering and Health Sciences especially in the design of the rules for the academic appointments and promotions in universities.

AUTHOR ADDRESS: O Konur, Sirnak Univ, Fac Engn, TR-73000 Sirnak, Turkey
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TITLE:          PERFORMANCE OF THE PROBLEM SOLVING PROCESS IN DESIGN:
                MEASURE AND IMPACT FACTORS (Article, English)
AUTHOR:         Maranzana, N; Dubois, S; Gartiser, N; De Guio, R;
                Caillaud, E
SOURCE:         ICED 09 - THE 17TH INTERNATIONAL CONFERENCE ON
                ENGINEERING DESIGN, VOL 6: DESIGN METHODS AND TOOLS, PT
                2. 2009. p.235-246 DESIGN SOC, GLASGOW

SEARCH TERM(S):  IMPACT FACTOR*  

KEYWORDS:       performance; problem solving; design; indicators

ABSTRACT:       This article focuses on the problem solving process in
design. Today, enterprises face an important need of innovation, as they have to regularly propose new products or new services. Design is one of the key activities of enterprises to be innovative, but it is also one of the more difficult activities to manage and especially to appreciate its performance. There exists many tools to evaluate and manage performance in a variety of fields, but the design process is quite poor on this topic. Few tools are proposed to evaluate and manage the performance of the design activity. Some parts of this activity are more or less manageable, but one remains hardly controllable: the problem solving process.

Two parts will be proposed in the article, a first one will propose a set of definitions: definition of the performance, of the enterprise organization, of the design activity and of the role of problem solving in this activity. A second one will focus on the ways to measure and manage the performance of problem solving in design by the proposal of criteria to evaluate it and by the proposal of a set of indicators that impact this performance.

AUTHOR ADDRESS: N Maranzana, INSA Strasbourg Grad Sch Sci & Technol, Design
                Engn Lab LGECO, 24 Blvd Victoire, F-67084 Strasbourg, France

 
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TITLE:          Mining Temporal Patterns of Technical Term Usages in
                Bibliographical Data (Article, English)
AUTHOR:         Abe, H; Tsumoto, S
SOURCE:         INTELLIGENT INFORMATION PROCESSING V 340. 2010.
                p.130-138 SPRINGER-VERLAG BERLIN, BERLIN

SEARCH TERM(S):  BIBLIOGRAPHIC*  item_title

KEYWORDS:       Text Mining; Trend Detection; TF-IDF; Jaccard's Matching
                Coefficient; Temporal Clustering; Linear Regression

ABSTRACT:       In text mining framework, data-driven indices are used as
importance indices of words and phrases. Although the values of these indices are influenced by usages of terms, many conventional emergent term detection methods did not treat these indices explicitly. In order to detect research keys in academic researches, we propose a method based on temporal patterns of technical terms by using several data-driven indices and their temporal clusters. The method consists of an automatic term extraction method in given documents, three importance indices from text mining studies, and temporal patterns based on results of temporal clustering. Then, we assign abstracted sense of the temporal patterns of the terms based on their linear trends of centroids. Empirical studies show that the three importance indices are applied to the titles of four annual conferences about data mining field as sets of documents. After extracting the temporal patterns of automatically extracted terms, we compared the emergent patterns and one of the keyword of this article between the four conferences.

AUTHOR ADDRESS: H Abe, Shimane Univ, Dept Med Informat, Sch Med, 89-1 Enya
                Cho, Izumo, Shimane 6938501, Japan

  



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