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The Experts below are selected from a list of 36 Experts worldwide ranked by ideXlab platform

Alex Doboli - One of the best experts on this subject based on the ideXlab platform.

  • Moving beyond traditional electronic design automation: Data-driven design of analog circuits
    2016 13th International Conference on Synthesis Modeling Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2016
    Co-Authors: Alex Doboli
    Abstract:

    Understanding the relation between the characteristics of the referenced ideas (as expressed by the cited papers) and the expected impact of a new design (as measured by the Received Citation count) is important in maximizing the outcomes of the spent design effort, time, and resources. This paper presents a new methodology and the related metrics and procedures to analyze this connection. The approach was utilized to study the distinguishing features of highly-cited papers on switched capacitor filter design. A set of pattern specific to these papers are discussed in the paper.

  • SMACD - Moving beyond traditional electronic design automation: Data-driven design of analog circuits
    2016 13th International Conference on Synthesis Modeling Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2016
    Co-Authors: Alex Doboli
    Abstract:

    Understanding the relation between the characteristics of the referenced ideas (as expressed by the cited papers) and the expected impact of a new design (as measured by the Received Citation count) is important in maximizing the outcomes of the spent design effort, time, and resources. This paper presents a new methodology and the related metrics and procedures to analyze this connection. The approach was utilized to study the distinguishing features of highly-cited papers on switched capacitor filter design. A set of pattern specific to these papers are discussed in the paper.

Yin-leng Theng - One of the best experts on this subject based on the ideXlab platform.

  • Will your paper get promoted by a Citation? A case study of Citation promoter in computer science discipline
    IEEE Transactions on Emerging Topics in Computing, 1
    Co-Authors: Aravind Sesagiri Raamkumar, Mojisola Erdt, Yin-leng Theng
    Abstract:

    Reseachers have investigated numerous factors influencing Citation counts of cited papers. One factor investigated has been the number of gained Citations, as this could increase the visibility of cited papers and subsequently induce further Citations. In this paper, aiming to identify a particular kind of Citation that could trigger a rapid growth in the Citation counts of cited papers, a concept of "Citation promoter" was proposed. We defined Citation promoters based on the annual Citation rates of the cited papers and the co-Citation counts Received by the pair of cited and citing papers. The comparative results showed that papers would obtain a sharp rise in Citation counts shortly after they were cited by Citation promoters. Papers that Received Citation promoters at an early age outperformed other papers in long-term Citation counts. In addition, we developed a classification model for predicting whether a citing paper would be a Citation promoter for its cited paper. Since it was a class imbalanced problem (4% positive instances), and there was a lack of content and author features in our dataset, our preliminary models achieved moderate performance with an $F_1$ score slightly higher than 0.5, while the $F_1$ score obtained by random guessing was 0.07.

Aravind Sesagiri Raamkumar - One of the best experts on this subject based on the ideXlab platform.

  • Will your paper get promoted by a Citation? A case study of Citation promoter in computer science discipline
    IEEE Transactions on Emerging Topics in Computing, 1
    Co-Authors: Aravind Sesagiri Raamkumar, Mojisola Erdt, Yin-leng Theng
    Abstract:

    Reseachers have investigated numerous factors influencing Citation counts of cited papers. One factor investigated has been the number of gained Citations, as this could increase the visibility of cited papers and subsequently induce further Citations. In this paper, aiming to identify a particular kind of Citation that could trigger a rapid growth in the Citation counts of cited papers, a concept of "Citation promoter" was proposed. We defined Citation promoters based on the annual Citation rates of the cited papers and the co-Citation counts Received by the pair of cited and citing papers. The comparative results showed that papers would obtain a sharp rise in Citation counts shortly after they were cited by Citation promoters. Papers that Received Citation promoters at an early age outperformed other papers in long-term Citation counts. In addition, we developed a classification model for predicting whether a citing paper would be a Citation promoter for its cited paper. Since it was a class imbalanced problem (4% positive instances), and there was a lack of content and author features in our dataset, our preliminary models achieved moderate performance with an $F_1$ score slightly higher than 0.5, while the $F_1$ score obtained by random guessing was 0.07.

Mojisola Erdt - One of the best experts on this subject based on the ideXlab platform.

  • Will your paper get promoted by a Citation? A case study of Citation promoter in computer science discipline
    IEEE Transactions on Emerging Topics in Computing, 1
    Co-Authors: Aravind Sesagiri Raamkumar, Mojisola Erdt, Yin-leng Theng
    Abstract:

    Reseachers have investigated numerous factors influencing Citation counts of cited papers. One factor investigated has been the number of gained Citations, as this could increase the visibility of cited papers and subsequently induce further Citations. In this paper, aiming to identify a particular kind of Citation that could trigger a rapid growth in the Citation counts of cited papers, a concept of "Citation promoter" was proposed. We defined Citation promoters based on the annual Citation rates of the cited papers and the co-Citation counts Received by the pair of cited and citing papers. The comparative results showed that papers would obtain a sharp rise in Citation counts shortly after they were cited by Citation promoters. Papers that Received Citation promoters at an early age outperformed other papers in long-term Citation counts. In addition, we developed a classification model for predicting whether a citing paper would be a Citation promoter for its cited paper. Since it was a class imbalanced problem (4% positive instances), and there was a lack of content and author features in our dataset, our preliminary models achieved moderate performance with an $F_1$ score slightly higher than 0.5, while the $F_1$ score obtained by random guessing was 0.07.

Xianbo Zhao - One of the best experts on this subject based on the ideXlab platform.

  • A scientometric review of global BIM research: Analysis and visualization
    Automation in Construction, 2017
    Co-Authors: Xianbo Zhao
    Abstract:

    Abstract In the recent years, building information modeling (BIM) has transformed the architecture, engineering, and construction industry, and attracted attentions from both researchers and practitioners. However, few studies have attempted to map the global research on BIM. This study conducts a scientometric review of global BIM research in 2005–2016, through co-author analysis, co-word analysis and co-Citation analysis. A total of 614 bibliographic records from the Web of Science core collection database were analyzed. The results indicated that Charles M. Eastman Received the most co-Citations and that the most significant development in BIM research occurred primarily in the USA, South Korea and China. Additionally, BIM research has primarily focused on the subject categories of engineering, civil engineering and construction & building technology, and the keywords “visualization” and “industry foundation classes (IFC)” Received Citation bursts in the recent years. Furthermore, 10 co-Citation clusters were identified, and the hot topics of BIM research were: mobile and cloud computing, laser scan, augmented reality, ontology, safety rule and code checking, semantic web technology, and automated generation. This study provides researchers and practitioners with an in-depth understanding of the status quo and trend of the BIM research in the world.