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Related papers: Whats next? Forecasting scientific research trends

200 papers

A widely used measure of scientific impact is citations. However, due to their heavy-tailed distribution, citations are fundamentally difficult to predict. Instead, to characterize scientific impact, we address two analogous questions asked…

Digital Libraries · Computer Science 2016-11-17 Yuxiao Dong , Reid A. Johnson , Nitesh V. Chawla

Analysing research trends and predicting their impact on academia and industry is crucial to gain a deeper understanding of the advances in a research field and to inform critical decisions about research funding and technology adoption. In…

Digital Libraries · Computer Science 2021-06-25 Angelo Salatino , Andrea Mannocci , Francesco Osborne

Novel scientific knowledge is constantly produced by the scientific community. Understanding the level of novelty characterized by scientific literature is key for modeling scientific dynamics and analyzing the growth mechanisms of…

Digital Libraries · Computer Science 2018-01-30 Jiangen He , Chaomei Chen

Changes in the number of publications in a certain field might reflect the dynamic of scientific progress in this field, since an increase in the number of publications can be interpreted as an increase in the field-specific knowledge. In…

Digital Libraries · Computer Science 2022-08-31 Lutz Bornmann , Robin Haunschild

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 scientometrics, informetrics and bibliometrics establish…

Digital Libraries · Computer Science 2019-03-19 Ali Abrishami , Sadegh Aliakbary

A standard measure of the influence of a research paper is the number of times it is cited. However, papers may be cited for many reasons, and citation count offers limited information about the extent to which a paper affected the content…

Computation and Language · Computer Science 2022-10-26 Sandeep Soni , David Bamman , Jacob Eisenstein

The annual number of publications at scientific venues, for example, conferences and journals, is growing quickly. Hence, even for researchers it becomes harder and harder to keep track of research topics and their progress. In this task,…

Machine Learning · Computer Science 2021-05-19 Bastian Schäfermeier , Gerd Stumme , Tom Hanika

In this research, we propose a method to trace scientists' research trends realtimely. By monitoring the downloads of scientific articles in the journal of Scientometrics for 744 hours, namely one month, we investigate the download…

Digital Libraries · Computer Science 2013-04-30 Xianwen Wang , Zhi Wang , Shenmeng Xu

Information overload and the rapid pace of scientific advancement make it increasingly difficult to evaluate and allocate resources to new research proposals. Is there a structure to scientific discovery that could inform such decisions? We…

Digital Libraries · Computer Science 2025-08-21 Giacomo Radaelli , Jonah Lynch

A crucial goal of funding research and development has always been to advance economic development. On this basis, a consider-able body of research undertaken with the purpose of determining what exactly constitutes economic impact and how…

Digital Libraries · Computer Science 2019-06-20 Abdul Rahman Shaikh , Hamed Alhoori

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 available scholarly data enable the exploration of data-driven…

Social and Information Networks · Computer Science 2020-08-11 Jie Hou , Hanxiao Pan , Teng Guo , Ivan Lee , Xiangjie Kong , Feng Xia

Fast growing scientific topics have famously been key harbingers of the new frontiers of science, yet, large-scale analyses of their genesis and impact are rare. We investigate one possible factor connected with a topic's extraordinary…

Digital Libraries · Computer Science 2021-11-17 Ching Jin , Yifang Ma , Brian Uzzi

Citations acknowledge the impact a scientific publication has on subsequent work. At the same time, deciding how and when to cite a paper, is also heavily influenced by social factors. In this work, we conduct an empirical analysis based on…

Digital Libraries · Computer Science 2021-03-29 Andrea Fronzetti Colladon , Ciriaco Andrea D'Angelo , Peter A. Gloor

Predicting the popularity of scientific publications has attracted many attentions from various disciplines. In this paper, we focus on the popularity prediction problem of scientific papers, and propose an age-based diffusion (AD) model to…

Digital Libraries · Computer Science 2020-10-19 Yanbo Zhou , Qu Li , Xuhua Yang , Hongbing cheng

Being able to predict the length of a scientific paper may be helpful in numerous situations. This work defines the paper length prediction task as a regression problem and reports several experimental results using popular machine learning…

Computation and Language · Computer Science 2020-12-18 Erion Çano , Ondřej Bojar

Predicting the future citation rates of academic papers is an important step toward the automation of research evaluation and the acceleration of scientific progress. We present $\textbf{ForeCite}$, a simple but powerful framework to append…

Machine Learning · Computer Science 2025-05-15 Gavin Hull , Alex Bihlo

In the new global era, determining trends can play an important role in guiding researchers, scientists, and agencies. The main faced challenge is to track the emerging topics among the stacked publications. Therefore, any study done to…

Computational Engineering, Finance, and Science · Computer Science 2023-10-25 Sila Ovgu Korkut , Oznur Oztunc Kaymak , Aytug Onan , Erman Ulker , Femin Yalcin

A tool that could suggest new personalized research directions and ideas by taking insights from the scientific literature could significantly accelerate the progress of science. A field that might benefit from such an approach is…

Just like everything in the nature, scientific topics flourish and perish. While existing literature well captures article's life-cycle via citation patterns, little is known about how scientific popularity and impact evolves for a specific…

Social and Information Networks · Computer Science 2021-06-09 Luoyi Fu , Dongrui Lu , Qi Li , Xinbing Wang , Chenghu Zhou

In this paper we study research trends in condensed matter physics. Trends are analyzed by means of the the number of publications in the different sub-fields as function of the years. We found that many research topics have a similar…

Physics and Society · Physics 2012-11-07 C. Attaccalite , S. Barland
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