Cited by 208scientometrics and bibliometrics researchBlockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

The rise of “blockchain”: bibliometric analysis of blockchain study

Firdaus, Ahmad, Razak, Mohd Faizal Ab, Feizollah, Ali, Hashem, Ibrahim Abaker Targio, Hazim, Mohamad, Anuar, Nor Badrul·2019·Scientometrics

Overview

Integrity signals

Registry

Crossref · 10.1007/s11192-019-03170-4

Cites

98 of 98 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • To avoid fraud-related activities such as double-spending attacks, the trustworthiness of the block must be checked, and the data flow should be controlled to ensure the smooth exchange of information.

    “To avoid fraud-related activities such as double-spending attacks, the trustworthiness of the block must be checked, and the data flow should be controlled to ensure the smooth exchange of information [63].”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 6

  1. Estrada-Galinanes, V., & Wac, K. (2019). Visions and challenges in managing and preserving data to measure quality of life. In IEEE 3rd international workshops on foundations and applications of self systems (FASW) (pp. 92–99). Torento, Italy.
  2. Firdaus, A., & Anuar, N. B. (2015). Root-exploit malware detection using static analysis and machine learning. In Proceedings of the fourth international conference on computer science & computational mathematics (ICCSCM 2015) (pp. 177–183). Langkawi, Malaysia.
  3. Kumar, S., & Kumar, S. (2008). Collaboration in research productivity in oil seed research institutes of India. In Fourth international conference on webometrics, informetrics and scientometrics & ninth COLLNET meeting Humboldt- Universitat zu Berlin, Institute for Library and Information Science (IBI) (pp. 1–18).
  4. Liu, Y., Lu, Q., Xu, X., Zhu, L., & Yao, H. (2018). Applying design patterns in smart contracts a case study on a blockchain-based traceability. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) (Vol. 10974, pp. 92–106).
  5. Smith, S. (2018). IoT connections to grow 140% to hit 50 billion by 2022, as edge computing accelerates RoI (Online). Available at https://www.juniperresearch.com/press/press-releases/iot-connections-to-grow-140-to-hit-50-billion . Accessed 6 Jan 2019.
  6. Vazirani, A., O’Donoghue, O., Brindley, D., & Meinert, E. (2018). Implementing blockchains for efficient healthcare: A systematic review. Journal of Medical Internet Research, 21(2), 1–12.

Cited by

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Metadata

Authors
Firdaus, A., Razak, M. F. A., Feizollah, A., Hashem, I. A. T., Hazim, M., & Anuar, N. B.
Affiliations
  • Universiti Malaysia Pahang Al-Sultan Abdullah (MY)
  • University of Malaya (MY)
Corresponding author
Razak, Mohd Faizal Ab
Venue
Scientometrics
Published
2019-07-05
Volume
120
Issue
3
Pages
1289-1331
ISSN
  • 0138-9130 (ISSN-L)
  • 1588-2861
OpenAlex
W2955437544
Cited by
208
References
98
Citations by year
2026: 11 · 2025: 27 · 2024: 43 · 2023: 33 · 2022: 36 · 2021: 35 · 2020: 18 · 2019: 5
FWCI
15.72
Type
journal article
Language
en
Open access
closed
Locations
  • Scientometrics (publishedVersion)
  • UMP Institutional Repository (Universiti Malaysia Pahang) (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
Funders
Universiti Malaysia Pahang (RDU180360)
Topics
  • Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
blockchain, consensus algorithms, Internet of Things security, blockchain in healthcare, data privacy, distributed databases, international research collaboration, citation analysis

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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