2020
DOI: 10.2196/11567
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The Most-Cited Authors Who Published Papers in JMIR mHealth and uHealth Using the Authorship-Weighted Scheme: Bibliometric Analysis

Abstract: Background Many previous papers have investigated most-cited articles or most productive authors in academics, but few have studied most-cited authors. Two challenges are faced in doing so, one of which is that some different authors will have the same name in the bibliometric data, and the second is that coauthors’ contributions are different in the article byline. No study has dealt with the matter of duplicate names in bibliometric data. Although betweenness centrality (BC) is one of the most po… Show more

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Cited by 57 publications
(95 citation statements)
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“…Hubei (including Wuhan) has a lower IP day (18) but a large CNIC (27,100). The Kano diagram [ 8 , 41 ] could be complementary to the choropleth map [ 31 ], which cannot differentiate whether the entity attribute leans toward the IP in green, CNIC in red, or the neutral in yellow bubbles [ 7 , 8 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Hubei (including Wuhan) has a lower IP day (18) but a large CNIC (27,100). The Kano diagram [ 8 , 41 ] could be complementary to the choropleth map [ 31 ], which cannot differentiate whether the entity attribute leans toward the IP in green, CNIC in red, or the neutral in yellow bubbles [ 7 , 8 ].…”
Section: Resultsmentioning
confidence: 99%
“…An index to measure the attainment of the effective control of COVID-19 is thus required for development; similar to that is the use of bibliometric indicators (e.g., h- and x-index [ 5 , 6 ]) that consider both publications and citations for the evaluation of individual research achievements [ 7 , 8 ]. This means that the impact of COVID-19 can be measured from the two perspectives of inflection point (IP) days and the corresponding cumulative numbers of infected cases (CNICs), excluding those excessive CNICs and days of struggling to fight against COVID-19 (SACOVID).…”
Section: Introductionmentioning
confidence: 99%
“…The top-cited articles with at least 100 citations (called T100DO) were extracted from the two CNA and Non-CNA collections; see Appendix A.3 . We quantified country research contributions based on citations and author positions in the article byline using an author-weighted scheme (AWS) [ 20 , 21 ] for computing the research contributions to DO. The first author earned the most credit (around 63%), followed by corresponding authors (deemed as the last author with around 12% credit), and other middle authors with decreasing credits shared in the remainder weights.…”
Section: Methodsmentioning
confidence: 99%
“…C ci is the country-weighted citations. W represents the weight according to the author’s order [ 20 , 21 ] in the article. The x-index is determined by the root product of publication at i and the corresponding citations ( ci ) when article citations are sorted in descending order; see Equation (2).…”
Section: Methodsmentioning
confidence: 99%
“…the inability to visualize results through a dashboard highlighting relevant entities [ 2 , 20 , 21 ] and…”
Section: Introductionmentioning
confidence: 99%