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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 雷欽隆 | |
| dc.contributor.author | Zi-Chun Lian | en |
| dc.contributor.author | 連子淳 | zh_TW |
| dc.date.accessioned | 2021-06-15T06:05:13Z | - |
| dc.date.available | 2010-08-18 | |
| dc.date.copyright | 2010-08-18 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-08-15 | |
| dc.identifier.citation | [1] A. Peterson, “H-index ranking of living chemists,” Chemistry World, 2007.
[2] A. Sidiropoulos, D. Katsaros, Y. Manolopoulos, “Generalized Hirsch h-index for disclosing latent facts in citation networks,” Scientometrics, 2007. [3] A. Borodin, G. O. Roberts, J. S. Rosenthal, P. Tsaparas, “Link Analysis Ranking Algorithms Theory and Experiments,” ACM Transactions on Internet Technology, 2005. [4] A. Schubert, W. Glänzel, B. Thijs, “The weight of author self-citations. A fractional approach to self-citation counting,” Scientometrics, 2006. [5] A. Sidiropoulos, Y. Manolopoulos, “Generalized comparison of graph-based ranking algorithms for publications and authors,” Journal for Systems and Software, 2006. [6] A. W. Harzing, Publish or Perish version <3.0.3813>, 2010, available at www.harzing.com/pop.htm [7] B. H. Jin, L. M. Liang, R. Rousseau, L. Egghe, “The R- and AR-indices: Complementing the h-index,” Chinese Science Bulletin, 2007. [8] C. Oppenheim, “Using the h-index to rank influential British researchers in information science and librarianship,” Journal of the American Society for Information Science and Technology, 2007. [9] C. D. Kelly, M. D. Jennions, “The h index and career assessment by numbers,” Trends in Ecology & Evolution, 2006. [10] C. T. Zhang, “The e-index, complementing the h-index for excess citations,” PLoS ONE, 2009. [11] E. Otte, R. Rousseau, “Social network analysis: a powerful strategy, also for the information sciences,” Journal of Information Science, 2002. [12] F. Y. Ye, R. Rousseau, “The power law model and total career h-index sequences,” Journal of Informetrics, 2008. [13] J. Imperial, A. Rodriguez-Navarro, “Usefulness of Hirsch’s h-index to evaluate scientific research in Spain,” Scientometrics, 2007. [14] J. E. Hirsch, “An index to quantify an individual’s scientific research output,” Proceedings of the National Academy of the USA, 2005. [15] J. E. Hirsch, “Does the h index have predictive power?” Proceedings of the National Academy of Sciences of the United States of America, 2007. [16] J. E. Iglesias, C Pecharroman, “Scaling the h-index for different scientific ISI fields,” Scientometrics, 2007. [17] L. Bornmann, H. D. Daniel, “The state of h index research is the h index the ideal way to measure research performance?” Embo Reports, 2009. [18] L. Egghe, L. M. Liang, R. Rousseau, “A relation between h-index and impact factor in the power-law model,” Journal of the American Society for Information Science and Technology, 2009. [19] L. Bornmann, R. Mutz, H. D. Daniel, “Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine,” Journal of the American Society for Information Science and Technology, 2008. [20] L. Egghe, “Theory and practice of the g-index,” Scientometrics, 2006. [21] L. Egghe, “The Hirsch-index and related impact measures”, Annual Review of Information Science and Technology, 2010. [22] L. Egghe, “Mathematical theory of the h- and g-index in case of fractional counting of authorship,” Journal of the American Society for Information Science and Technology 59, 2008. [23] L. M. Liang, “h-index sequence and h-index matrix: Constructions and applications,” Scientometrics, 2006. [24] M. Kosmulski, “A new Hirsch-type index saves time and works equally well as the original h-index,” ISSI Newslette, 2006. [25] M. Schreiber, “To share the fame in a fairway, hm modifies h for multi-authored manuscripts,” New Journal of Physics, 2008. [26] M. Schreiber, “An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index,” Journal of the American Society for Information Science and Technology, 2008. [27] P. Ball, “Index aims for fair ranking of scientists,” Nature, 2005. [28] P. Vinkler, “Eminence of scientists in the light of the h-index and other scientometric indicators,” Journal of Information Science, 2007. [29] P. D. Batista, M. G. Campiteli, O. Kinouchi, “Is it possible to compare researchers with different scientific interests?” Scientometrics, 2006. [30] Q. L. Burrell, “Hirsch index or Hirsch rate? Some thoughts arising from Liang’s data,” Scientometrics, 2007. [31] R. Rousseau, “New developments related to the Hirsch index,” Science Focus, 2006. [32] R. Rousseau, F. Y. Ye, “A proposal for a dynamic h-type index,” Journal of the American Society for Information Science and Technology, 2008. [33] U. Grothkopf, S. Stevens-Rayburn, “Introducing the h-index in telescope statistics,” Proceedings of the 5th Library and Information Services in Astronomy Conference, 2007. [34] W. GLÄNZEL, B. THIJS, “Does co-authorship inflate the share of self-citations?” Scientometrics, 2004. [35] X. Liu, J. Bollen, M. L. Nelson, H. V. de Sompel, “Co-authorship networks in the digital library research community,” CoRR, 2005. [36] Y. Ding, E. Yan, A. Frazho, J. Caverlee, “PageRank for Ranking Authors in Co-Citation Networks,” Journal of the American Society for Information Science and Technology, 2009. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47545 | - |
| dc.description.abstract | 在眾多評判研究者的研究成果的方法中，我們可以將之分為兩大群，一個是單一作者評分法，另一個則是多重作者評分法。在單一作者評分法中，並不加以考慮一篇出版物有多少位共同作者。但事實上，若是一篇出版物有較多的作者，比起較少作者的出版物，會有較高的機會被其他出版物引用。因此，在多重作者評分法中，會提出各種方法，使得在計算某一研究者之成果時，能排除其他共同作者的貢獻。此一問題被稱之為「多重作者之問題」。
這篇論文中，我們提出了一個新的方法來計算某一研究者的成果，稱之為hex-index。我們提出的方法對於現今的單一作者評分法和多重作者評分法，皆有較佳之處。在單一作者評分法中，比起現今最常用的評分法h-index，有著較高的解析度。在多重作者評分法中，我們提出了較合理的方法來評斷各個共同作者對一篇出版物的貢獻。除此之外，我們的評分方法不只可以計算某一研究者排除所有共同作者之貢獻後的研究成果，還可計算某一研究者排除部份共同作者之貢獻後的研究成果。 實驗的部份，我們從DBLP和Google Scholar網站，收集了各個研究者的著作、共同作者和引用紀錄等資訊。從收集到的資訊中，我們隨機挑選兩百位研究者做為實驗對像。我們發現，對於擁有較高h-index之研究者，hex-index之值多數會略大於著名的多重作者評分法，hm-index之值。 | zh_TW |
| dc.description.abstract | There are several well-known methodologies for determining the ranking of authors. These methodologies could be classified into two major groups; one is single-authored index, in this group, it does not take into consideration the number of co-authors in one single publication; the other is multi-authored index. Since papers with multi-authors tend to get more citations, indexes in this group propose some solutions to evaluate a single author’s index alone, without other co-authors. This is the so called multi-authored problem.
In this paper, we proposed a novel methodology for author ranking; we called it hex-index. We made improvements both in single-authored index and multi-authored index. In single-authored index, we have more resolution than the h-index, the most popular index for author ranking around the academic world. And in multi-authored index, we provide more reasonable measurements for the contribution of each author in one publication. In addition, our method not only could calculate an author’s index excluding all co-authors, but also could measure his or her index when excluding a portion of the co-authors. We collected data from DBLP and Google Scholar, including each author’s publications, co-authors and citation records. From this dataset, we sampled two hundred authors, and we discovered the fact that for authors with higher h-index, their hex-index would slightly bigger than hm-index, the famous multi-authored index. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T06:05:13Z (GMT). No. of bitstreams: 1 ntu-99-R97921060-1.pdf: 626959 bytes, checksum: 6eca08da38a59935056f85d00941e6c4 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 誌謝 i
中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vi LIST OF TABLES vii Chapter 1 Introduction 1 Chapter 2 Related Work 4 2.1 Single-Authored Index 4 2.1.1 Hirsch’s h-index 4 2.1.2 Egghe’s g-index 5 2.1.3 Zhang’s e-index 6 2.1.4 Contemporary h-index 7 2.2 Multi-Authored Index 8 2.2.1 Individual h-index 8 2.2.2 Multi-authored h-index 9 2.2.3 Discussion of Multi-Authored Problem 12 Chapter 3 The Processes of Judging Author’s Contribution 13 3.1 Insights of h-index Excluding Some Co-Authors 14 3.2 The Contribution of each Author in a Paper 17 3.3 Definition of hex-index 19 3.4 Critical and Non-Critical Co-Authors 21 3.5 Discussions for hex-index 22 Chapter 4 Experiment Analysis 24 4.1 Dataset 24 4.1.1 DBLP 24 4.1.2 Google Scholar 25 4.2 Dataset Processing Tools 26 4.3 Analysis of Dataset 26 4.3.1 Analysis of Authors 27 4.3.2 Analysis of Publications 28 4.4 Critical and Non-Critical Co-Authors 30 4.4.1 Critical Co-Authors 31 4.4.2 Non-Critical Authors 32 4.5 Comparing with h-index and hm-index 33 4.6 Discussion of Experiments 33 Chapter 5 Conclusions 35 REFERENCES 38 | |
| dc.language.iso | en | |
| dc.subject | 多重作者 | zh_TW |
| dc.subject | 評判研究成果 | zh_TW |
| dc.subject | 作者排名 | zh_TW |
| dc.subject | 共同作者 | zh_TW |
| dc.subject | 出版物之引用 | zh_TW |
| dc.subject | author index | en |
| dc.subject | citation index | en |
| dc.subject | multi-authored index | en |
| dc.subject | author ranking | en |
| dc.subject | citation network | en |
| dc.title | 依著作及共同作者來評斷研究者之學術貢獻 | zh_TW |
| dc.title | Metrics for Judging an Author's Academic Contribution from his Publications and Co-Authors | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 楊中皇,顏嗣鈞,郭斯彥,黃俊穎 | |
| dc.subject.keyword | 作者排名,評判研究成果,多重作者,共同作者,出版物之引用, | zh_TW |
| dc.subject.keyword | author ranking,author index,citation index,multi-authored index,citation network, | en |
| dc.relation.page | 41 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-08-16 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位： | 電機工程學系 | |
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