[HTML][HTML] Precision or Personalized Nutrition: A Bibliometric Analysis

D Hinojosa-Nogueira, A Subiri-Verdugo… - Nutrients, 2024 - mdpi.com
Food systems face the challenge of maintaining adequate nutrition for all populations. Inter-
individual responses to the same diet have made precision or personalized nutrition (PN) an …

Predicting citation counts based on deep neural network learning techniques

A Abrishami, S Aliakbary - Journal of Informetrics, 2019 - Elsevier
With the growing number of published scientific papers world-wide, the need to evaluation
and quality assessment methods for research papers is increasing. Scientific fields such as …

Prediction methods and applications in the science of science: A survey

J Hou, H Pan, T Guo, I Lee, X Kong, F **a - Computer science review, 2019 - Elsevier
Science of science has become a popular topic that attracts great attentions from the
research community. The development of data analytics technologies and the readily …

Towards a stratified learning approach to predict future citation counts

T Chakraborty, S Kumar, P Goyal… - IEEE/ACM joint …, 2014 - ieeexplore.ieee.org
In this paper, we study the problem of predicting future citation count of a scientific article
after a given time interval of its publication. To this end, we gather and conduct an …

High impact academic paper prediction using temporal and topological features

F Davletov, AS Aydin, A Cakmak - Proceedings of the 23rd ACM …, 2014 - dl.acm.org
Predicting promising academic papers is useful for a variety of parties, including
researchers, universities, scientific councils, and policymakers. Researchers may benefit …

On the categorization of scientific citation profiles in computer science

T Chakraborty, S Kumar, P Goyal, N Ganguly… - Communications of the …, 2015 - dl.acm.org
On the categorization of scientific citation profiles in computer science Page 1 82
COMMUNICATIONS OF THE ACM | SEPTEMBER 2015 | VOL. 58 | NO. 9 contributed …

[HTML][HTML] Where should I publish? Heterogeneous, networks-based prediction of paper's citation success

R Klemiński, P Kazienko, T Kajdanowicz - Journal of Informetrics, 2021 - Elsevier
Scientific output, as measured in research published annually, has seen a consistent growth
for decades now. As more manuscripts are submitted for publication each year, new …

A supervised learning method for prediction citation count of scientists in citation networks

E Bütün, M Kaya, R Alhajj - Proceedings of the 2017 IEEE/ACM …, 2017 - dl.acm.org
Predicting the future impacts of scientists and their publications is an important task for future
scientific studies. Studies predicting scientific effects in the academia are mostly based on …

Predicting Award Winning Research Papers at Publication Time

R Vella, A Vitaletti, F Silvestri - arxiv preprint arxiv:2406.12535, 2024 - arxiv.org
In recent years, many studies have been focusing on predicting the scientific impact of
research papers. Most of these predictions are based on citations count or rely on features …

Machine identification of high impact research through text and image analysis

M Stamenovic, S Schick, J Luo - 2017 IEEE Third International …, 2017 - ieeexplore.ieee.org
The volume of academic paper submissions and publications is growing at an ever
increasing rate. While this flood of research promises progress in various fields, the sheer …