Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 0 / 1 publications (0.0%). Latest observation: Not yet available. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 22 Oct 2026 01:28 UTC — 22 Oct 2026 01:28 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
1 / 1 with data · 0 missing or unmatched. Percentages use all 1 selected publications.
1 / 1 with data · 0 missing or unmatched. Percentages use all 1 selected publications.
1 / 1 with data · 0 missing or unmatched. Percentages use all 1 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 1 | 1 | 0/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | — | 1 | 0/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 1 | 0/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 1 / 1 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-22T01:28:50.732430+00:00 — 2026-10-22T01:28:50.732430+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 1 | 1/1 |
| 2018 | All selected publications | 0 | 1 | 1/1 |
| 2019 | All selected publications | 0 | 1 | 1/1 |
| 2020 | All selected publications | 0 | 1 | 1/1 |
| 2021 | All selected publications | 0 | 1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 |
| 2023 | All selected publications | 0 | 1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2026 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 1 | — | 0 | 1/1 | — | — | — | 0/1 · 0.0% |
* Percentage among publications with a known citation count.
Studies on the impact of digitalisation on bank credit allocation are relatively scarce. Digital technologies have a significant impact on economic growth, the labour market, commodity and asset prices, and international trade. The recent surge in innovation and digitalisation within the financial sector has brought about tremendous changes in bank business models and credit distribution, significantly affecting economic growth. Digital transformation has led to a new banking business model of collaboration between emerging Fintechs and conventional commercial banks, often called a “partnership model”. Here, the banking system is viewed as the evolutionary outcome of monetary financial institutions, constantly adapting to technological change. This ongoing evolution has determined the pattern of credit allocation, ultimately shaping its effects on economic growth. Drawing upon authoritative primary data and sector-specific lending indicators, this study seeks to advance existing scholarly research regarding the impact of digital transformation on bank credit allocation. The contribution of this research stems from comparing the digital transformation of banking systems in the UK and Denmark and examining how digitalisation has led to divergent trajectories in bank credit allocation. The study explores credit allocation under the digital transformation of banking and its effect on overall economic growth. In this sense, bank credit allocation extends beyond traditional industrial firms to reach various other sectors of the economy. Specifically, this research demonstrates how technological advancements in the banking sector directly impact overall economic performance, drawing on empirical evidence from the UK and DK as selected case studies. Empirical evidence demonstrates that bank lending has prioritised credit for financial market trading and real estate mortgages at the expense of the productive sector. This is particularly evident in the ever-growing volume of lending directed toward already existing assets. The prevalence of non-productive credit effectively illustrates that the banking system is increasingly driving the financialisation of the economy.
Studies on the impact of digitalisation on bank credit allocation are relatively scarce. Digital technologies have a significant impact on economic growth, the labour market, commodity and asset prices, and international trade. The recent surge in innovation and digitalisation within the financial sector has brought about tremendous changes in bank business models and credit distribution, significantly affecting economic growth. Digital transformation has led to a new banking business model of collaboration between emerging Fintechs and conventional commercial banks, often called a “partnership model”. Here, the banking system is viewed as the evolutionary outcome of monetary financial institutions, constantly adapting to technological change. This ongoing evolution has determined the pattern of credit allocation, ultimately shaping its effects on economic growth. Drawing upon authoritative primary data and sector-specific lending indicators, this study seeks to advance existing scholarly research regarding the impact of digital transformation on bank credit allocation. The contribution of this research stems from comparing the digital transformation of banking systems in the UK and Denmark and examining how digitalisation has led to divergent trajectories in bank credit allocation. The study explores credit allocation under the digital transformation of banking and its effect on overall economic growth. In this sense, bank credit allocation extends beyond traditional industrial firms to reach various other sectors of the economy. Specifically, this research demonstrates how technological advancements in the banking sector directly impact overall economic performance, drawing on empirical evidence from the UK and DK as selected case studies. Empirical evidence demonstrates that bank lending has prioritised credit for financial market trading and real estate mortgages at the expense of the productive sector. This is particularly evident in the ever-growing volume of lending directed toward already existing assets. The prevalence of non-productive credit effectively illustrates that the banking system is increasingly driving the financialisation of the economy.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |