Michael Howell Data-verified
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Researcher
unknown
Research Areas
Biography and Research Information
OverviewAI-generated summary
Michael Howell's research investigates quantitative technology forecasting, focusing on methods for predicting technological advancement. His work has examined trend extrapolation techniques and applied them to specific domains, such as modeling spacecraft lifespan based on time and budget constraints. Howell has also explored the nature of technological progress, questioning whether it follows a random walk and analyzing data from space travel to understand its patterns. His publications have explored relationships between technological progress metrics like Moore's Law and Wright's Law, and the concept of exponential growth in space exploration.
Howell has a notable record of collaboration, with multiple shared publications with Richard S. Segall from Arkansas State University, and with Daniel Berleant and Peng-Hung Tsai from the University of Arkansas at Little Rock. His scholarship metrics include an h-index of 3, with 9 total publications and 104 citations.
Metrics
- h-index: 3
- Publications: 9
- Citations: 105
Selected Publications
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Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods (2023)
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Is technological progress a random walk? Examining data from space travel (2021)
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Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan (2021)
Collaboration Network
Top Collaborators
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Moore's law, Wright's law and the Countdown to Exponential Space
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Moore's law, Wright's law and the Countdown to Exponential Space
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Moore's law, Wright's law and the Countdown to Exponential Space
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Moore's law, Wright's law and the Countdown to Exponential Space
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
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