We tested the underlying assumption that citation counts are reliable predictors of future success, analyzing complete citation data on the careers of ~150,000 scientists. Our results show that i) among all citation indicators, the annual citations at the time of prediction is the best predictor of future citations, ii) future citations of a scientist's published papers can be predicted accurately (r(2) = 0.80 for a 1-year prediction, P<0.001) but iii) future citations of future work are hardly predictable
In this paper, we study the problem of predicting future ci-tation count of a scientific article aft...
International audienceWe have developed a method to obtain robust quantitative bibliometric indicato...
Wang et al. (Reports, 4 October 2013, p. 127) claimed high prediction power for their model of citat...
We tested the underlying assumption that citation counts are reliable predictors of future success, ...
In most of the cases, scientists depend on previous literature which is relevant to their research f...
In most of the cases, scientists depend on previous literature which is relevant to their research f...
The ability to predict the long-term impact of a scientific article soon after its publication is of...
Correctly assessing a scientist's past research impact and potential for future impact is key in rec...
We test 16 bibliometric indicators with respect to their validity at the level of the individual res...
Correctly assessing a scientist's past research impact and potential for future impact is key in rec...
In an article in the pages of this journal five years ago, we described a method for predicting whic...
Previous studies focused on the characteristics of elicit scientists, or the early identification ...
The findings of Bornmann, Leydesdorff, and Wang (2013b) revealed that the consideration of journal i...
We test 16 bibliometric indicators with respect to their validity at the level of the individual res...
Any researcher’s publications at any time can be ordered from the highest cited to the lowest cited,...
In this paper, we study the problem of predicting future ci-tation count of a scientific article aft...
International audienceWe have developed a method to obtain robust quantitative bibliometric indicato...
Wang et al. (Reports, 4 October 2013, p. 127) claimed high prediction power for their model of citat...
We tested the underlying assumption that citation counts are reliable predictors of future success, ...
In most of the cases, scientists depend on previous literature which is relevant to their research f...
In most of the cases, scientists depend on previous literature which is relevant to their research f...
The ability to predict the long-term impact of a scientific article soon after its publication is of...
Correctly assessing a scientist's past research impact and potential for future impact is key in rec...
We test 16 bibliometric indicators with respect to their validity at the level of the individual res...
Correctly assessing a scientist's past research impact and potential for future impact is key in rec...
In an article in the pages of this journal five years ago, we described a method for predicting whic...
Previous studies focused on the characteristics of elicit scientists, or the early identification ...
The findings of Bornmann, Leydesdorff, and Wang (2013b) revealed that the consideration of journal i...
We test 16 bibliometric indicators with respect to their validity at the level of the individual res...
Any researcher’s publications at any time can be ordered from the highest cited to the lowest cited,...
In this paper, we study the problem of predicting future ci-tation count of a scientific article aft...
International audienceWe have developed a method to obtain robust quantitative bibliometric indicato...
Wang et al. (Reports, 4 October 2013, p. 127) claimed high prediction power for their model of citat...