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【目的】识别研究领域内有影响力的作者。【方法】将Leader Rank用于合作网络测度作者影响力,通过不同的加权算法探讨合作次数和被引频次对重要作者排序的影响,在此基础上整合两个指标提出CW_LR算法,从合作和引用两个维度识别有影响力的作者。【结果】CW_LR算法与被引频次有相关性,但与被引频次或其他几种加权方法相比,识别出有影响力的作者与业界公认的更为一致。【局限】只在“信息计量学”领域进行实证,后续将该方法扩展到其他领域进一步验证其有效性。【结论】同时考虑合作关系强度和引用影响力,从合作和引用两个维度能更准确地识别出有影响力的作者。
【Purpose】 Identify influential authors in the field of research. 【Method】 The Leader Rank was used to measure the author’s influence in the cooperative network. Through different weighted algorithms, the influence of the cooperation times and cited times on the ranking of the important authors was discussed. Based on this, the CW_LR algorithm was proposed based on two indicators. From the cooperation and reference Two dimensions identify influential authors. 【Results】 The CW_LR algorithm is correlated with the frequency of citation. However, compared with the citation frequency or other weighted methods, it is recognized that influential authors are more consistent with the accepted ones in the industry. [Limitations] Only in the field of “information metrology” to carry out empirical, follow-up to extend the method to other areas to further verify its effectiveness. 【Conclusion】 Considering the strength of cooperation and the influence of quoting, we can identify the influential authors more accurately from the two dimensions of cooperation and quotation.