Reference health

Technology convergence among various technical fields: improvement of entropy estimation in patent analysis

https://doi.org/10.1007/s11192-022-04557-6
CiteStamped reference-health badge
39/39 checkable references clean · checked 2026-08-03

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 39 checked references that resolve
resolves10.1016/S0048-7333(01)00184-6
Patents and innovation counts as measures of regional production of new knowledge
resolves10.3233/JIFS-17930
Rényi and Tsallis and Shannon entropies on  <i>D</i> -posets
resolves10.1007/s11192-021-03999-8
Predicting future technological convergence patterns based on machine learning using link prediction
resolves10.1371/journal.pone.0098009
Entropy and Gravity Concepts as New Methodological Indexes to Investigate Technological Convergence: Patent Network-Based Approach
resolves10.3390/su70911546
A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea
resolves10.1080/09537325.2012.705117
Evolutionary trajectories of the nanotechnology research across worldwide economic players
resolves10.1007/s11192-006-0003-6
The 'home advantage' effect and patent families. A comparison of OECD triadic patents, the USPTO and the EPO
resolves10.1016/j.techfore.2010.06.021
Patent indicators for monitoring convergence – examples from NFF and ICT
resolves10.1007/s11192-021-03901-6
Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model
resolves10.1016/S0048-7333(01)00152-4
The determinants of national innovative capacity
resolves10.1016/S0048-7333(98)00062-6
Does technological convergence imply convergence in markets? Evidence from the electronics industry
resolves10.1016/j.techfore.2014.02.022
Technological convergence and the absorptive capacity of standardisation
resolves10.4218/etrij.12.1711.0010
Technological Convergence of IT and BT: Evidence from Patent Analysis
resolves10.1007/BF02017763
The concept of entropy in scientometrics and innovation research
resolves10.1016/j.techfore.2009.03.003
Coevolutionary cycles of convergence: An extrapolation from the ICT industry
resolves10.1371/journal.pone.0228616
The effect of collaborative innovation on ICT-based technological convergence: A patent-based analysis
resolves10.1371/journal.pone.0254424
The nature of ICT in technology convergence: A knowledge-based network analysis
resolves10.1504/IJBSR.2012.046353
Industry convergence analysis with patent citations in changing value systems
resolves10.1142/S0219877012500204
BUILD-UP OF UNDERSTANDING OF TECHNOLOGICAL CONVERGENCE: EVIDENCE FROM PRINTED INTELLIGENCE INDUSTRY
resolves10.1007/s11192-017-2472-1
Two-phase edge outlier detection method for technology opportunity discovery
resolves10.1007/s11192-017-2275-4
Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020
resolves10.3390/su9091601
Impact of Firms’ Cooperative Innovation Strategy on Technological Convergence Performance: The Case of Korea’s ICT Industry
resolves10.1111/j.1467-9310.1996.tb00942.x
Emerging patterns of innovation: sources of Japan s teleological edge
resolves10.1504/IJTM.2000.002848
Industry evolution and competence development: the imperatives of technological convergence
resolves10.1007/s11192-012-0923-2
Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)
resolves10.1016/S0048-7333(01)00163-9
Knowledge codification and the geography of innovation: the case of Brescia mechanical cluster
resolves10.1016/j.respol.2013.09.001
Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity
resolves10.1007/s11192-008-2197-2
Is science becoming more interdisciplinary? Measuring and mapping six research fields over time
resolves10.1017/S0022050700109155
Technological Change in the Machine Tool Industry, 1840–1910
resolves10.1080/09638199.2010.506331
Technological convergence, competitiveness, and welfare: A study of international manufacturing industries
resolves10.1002/j.1538-7305.1948.tb01338.x
A Mathematical Theory of Communication
resolves10.1145/2463209.2488734
Mapping on multi/many-core systems
resolves10.1287/mnsc.49.4.351.14429
Learning–by–Hiring: When Is Mobility More Likely to Facilitate Interfirm Knowledge Transfer?
resolves10.1098/rsif.2007.0213
A general framework for analysing diversity in science, technology and society
resolves10.1108/IMDS-10-2014-0310
Analyzing technological convergence trends in a business ecosystem
resolves10.1016/j.jengtecman.2003.08.002
Completing projects on-time: how project acceleration affects new product development
resolves10.1017/jmo.2017.75
Dynamic capabilities as (workable) management systems theory
resolves10.1007/BF01016429
Possible generalization of Boltzmann-Gibbs statistics
resolves10.1002/smj.2218
Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity
The 7 references without a DOI — listed, not checked
no DOI — not checkedHacklin, F. (2007). Management of convergence in innovation: Strategies and capabilities for value creation beyond blurring industry boundaries. New York: Springer.
no DOI — not checkedHacklin, F. (2008). Fundamentals of convergence and innovation. In Management of convergence in innovation: Strategies and capabilities for value creation beyond blurring industry boundaries (pp. 25–49).
no DOI — not checkedKolmogorov, A. N., & Uspenskii, V. A. (1958). On the definition of an algorithm. Uspekhi Matematicheskikh Nauk, 13(4), 3–28.
no DOI — not checkedRényi, A. (1961, June). On measures of entropy and information. In Proceedings of the fourth Berkeley symposium on mathematical statistics and probability (Vol. 1, pp. 547–561).
no DOI — not checkedSchmoch, U. (2008). Concept of a technology classification for country comparisons. Final report to the world intellectual property organisation (wipo), WIPO.
no DOI — not checkedSinai, Y. G. (1959, December). On the notion of entropy of a dynamical system. In Doklady of Russian Academy of Sciences (Vol. 124(3), pp. 768–771).
no DOI — not checkedStieglitz, N. (2007). Digital dynamics and types of industry convergence: the evolution of the handheld computers market. In J. F. Christensen & P. Maskell (Eds.), The new industrial dynamics of the new digital economy (pp. 179–208).
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-03 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.1007/s11192-022-04557-6"><img src="https://citestamp.com/citestamped/10.1007/s11192-022-04557-6/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1007/s11192-022-04557-6/badge.svg)](https://citestamp.com/citestamped/10.1007/s11192-022-04557-6)