Forecasting emerging technologies: Use of bibliometrics and patent analysis
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Bibliometric analysis allows researchers to explore patterns of past studies from historical data and indicates topics visibility and future development in the area.
“Most importantly, bibliometric analysis allows researchers to explore patterns of past studies from historical data and consequently indicates topics visibility and future development in the area [13].”
From Global Perspective on Payroll System Patent and Research: A Bibliometric Performance (2019) · cites this paper as [13]
Bibliometric analysis refers to a quantitative method that uses statistics to measure text and information and enables analysis of physical publications of articles or bibliographic units.
“Bibliometric analysis refers to a quantitative method that uses statistics to measure text and information and enables analysis of physical publications of articles or bibliographic units [12,13].”
From Global Perspective on Payroll System Patent and Research: A Bibliometric Performance (2019) · cites this paper as [13]
Cited by
Sorted by citations
Global Perspective on Payroll System Patent and Research: A Bibliometric Performance
(2019) · International Journal of Recent Technology and Engineering · doi:10.35940/ijrte.b1028.0782s219 · Cited by 34 · see citing works
Bibliometric data and actual development in technology life cycles: flaws in assumptions
Suominen, A., & Seppänen, M. (2014) · Foresight · doi:10.1108/fs-03-2013-0007 · Cited by 22 · see citing works
Bornkessel, S., Bröring, S., & (Onno) Omta, S. W. F. (2016) · PharmaNutrition · doi:10.1016/j.phanu.2015.10.002 · Cited by 17 · see citing works
- Authors
- Daim, T. U., Rueda, G., Martin, H., & Gerdsri, P.
- Affiliations
- Portland State University (US)
- Corresponding author
- Daim, Tugrul U.
- ORCID
- Daim, Tugrul U.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 73
- Issue
- 8
- Pages
- 981-1012
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2044764121
- Cited by
- 1,098
- References
- 0
- Citations by year
- 2026: 45 · 2025: 46 · 2024: 52 · 2023: 62 · 2022: 81 · 2021: 102 · 2020: 86 · 2019: 55 · 2018: 76 · 2017: 68 · 2016: 60 · 2015: 67 · 2014: 66 · 2013: 48 · 2012: 41
- FWCI
- 46.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- tub.dok (Hamburg University of Technology) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Intellectual Property and Patents
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Technology Assessment and Management
- Keywords
- bibliometric analysis, patent analysis, scenario planning, growth curves, analogy, system dynamics, technology diffusion, fuel cells, food safety technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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