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Detecting bursty terms in computer science research
8 references·4 citing·40 second hop
Detecting bursty terms in computer science research (2019)Detecting bursty terms in computer scienc…Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing (2016)Predicting the Rise and Fall …Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references (2015)Growth rates of modern scienc…What is the best database for computer science journal articles? (2014)What is the best database for…Mastering the Hype Cycle: How to Choose the Right Innovation at the Right Time (2008)Mastering the Hype Cycle: How…Technical Analysis: Power Tools for Active Investors (2005)Technical Analysis: Power Too…Discovering evolutionary theme patterns from text (2005)Discovering evolutionary them…Mapping topics and topic bursts in PNAS (2004)Mapping topics and topic burs…Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Technical analysis of the fin…What's next? Forecasting scientific research trends (2023)What's next? Forecasting scie…Is DBLP a Good Computer Science Journals Database? (2023)Is DBLP a Good Computer Scien…A scientometric review of climate change and research on crabs (2023)A scientometric review of cli…55 years of Abacus: Evolution of Research Streams and Future Research Directions (2021)55 years of Abacus: Evolution…Networks of Scientific Papers (1965)Scientific peer review (2011)The natural selection of bad science (2016)An open source machine learning framework for efficient and transparent systematic reviews (2021)CiteSeer (1998)Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar (2007)Comparing bibliometric statistics obtained from the Web of Science and Scopus (2009)Emotional Intelligence Measures: A Systematic Review (2021)Leveraging Capabilities of Technology into a Circular Supply Chain to Build Circular Business Models: A State-of-the-Art Systematic Review (2021)Exploring the impact of gamification on students’ academic performance: A comprehensive meta‐analysis of studies from the year 2008 to 2023 (2024)Untangling text data mining (1999)Main‐path analysis and path‐dependent transitions in HistCite™‐based historiograms (2008)Detecting topic evolution in scientific literature (2009)Latent Semantic Analysis: five methodological recommendations (2010)Mapping the Dynamics of Science and Technology (1986)Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World. (1988)Searching for intellectual turning points: Progressive knowledge domain visualization (2004)Research Note—Mapping the Field of Virtual Work: A Cocitation Analysis (2009)Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval (2017)A large-scale bibliometric analysis of global climate change research between 2001 and 2018 (2022)The Structure of Scientific Revolutions (1963)The Structure of Scientific Revolutions (1963)Science in Action: How to Follow Scientists and Engineers through Society (1988)A discourse analysis of the macro-structure, metadiscoursal and microdiscoursal features in the abstracts of research articles across multiple science disciplines (2018)A scientific research topic trend prediction model based on multi‐LSTM and graph convolutional network (2022)Emerging trends in regenerative medicine: a scientometric analysis inCiteSpace (2012)Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories (2019)Visualizing a field of research: A methodology of systematic scientometric reviews (2019)The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index (2010)Papers and patents are becoming less disruptive over time (2023)The World of Agent‐Based Modeling: A Bibliometric and Analytical Exploration (2025)Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Comparing technological hype cycles: Towards a theory (2013)The hype cycle model: A review and future directions (2016)Smart destinations and the evolution of ICTs: a new scenario for destination management? (2017)Exponential moving average versus moving exponential average (2010)Predicting bitcoin returns using high-dimensional technical indicators (2018)Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators (2021)
this work references cited by second hop

References

  • 2015Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references1,570 cited
  • 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications771 cited
  • 2005Discovering evolutionary theme patterns from text524 cited
  • 2008Mastering the Hype Cycle: How to Choose the Right Innovation at the Right Time461 cited
  • 2004Mapping topics and topic bursts in PNAS219 cited
  • 2005Technical Analysis: Power Tools for Active Investors200 cited
  • 2014What is the best database for computer science journal articles?112 cited
  • 2016Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing60 cited

Cited by

  • 2023What's next? Forecasting scientific research trends23 cited
  • 2023A scientometric review of climate change and research on crabs18 cited
  • 202155 years of Abacus: Evolution of Research Streams and Future Research Directions14 cited
  • 2023Is DBLP a Good Computer Science Journals Database?10 cited

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