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: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. 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 01:14 UTC — 22 Oct 2026 03:10 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 16 | 2 | 2/2 | 2/2 |
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 2 / 2 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): 2026-10-22T01:14:41.118917+00:00 — 2026-10-22T03:10:53.123511+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 2 | 2 | 2/2 |
| 2021 | All selected publications | 1 | 2 | 2/2 |
| 2022 | All selected publications | 1 | 2 | 2/2 |
| 2023 | All selected publications | 8 | 2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 |
| 2025 | All selected publications | 2 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 |
|---|---|
| 2020 | 2 |
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 Research in Business and Social Science SSBFNET | 2 | 4 | 16 | 2/2 | 2.0 | 2.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to empirically examine the influence of intellectual capital towards company value and also its influence while being moderated by institutional ownership. This study uses purposive sampling to determine samples from manufacturing companies listed in Indonesia Stock Exchange during the year of 2014–2018. The total sample obtained in this study is 301 from the 720 population of data throughout the research year. Data analysis techniques use multiple regression and moderated regression analysis (MRA) methods. The results of this study show that Intellectual Capital has a positive significant effect on company value while institutional ownership does not have a significant effect on moderating the influence of intellectual capital towards company value. The practical implication of this study is to provide information to managers or owners of public manufacturing companies and investors about the importance of intangible assets investment like intellectual capital as the competitive strategies to achieve more optimal company value, as well as for regulator to make clear regulations about the disclosures of intangible assets.
Managerial intellectual capital is one of the attributes of a global mindset, associated with knowledge, skill level, and creation of an organization competitive advantage. This paper sought to delve into the concept of internationalization of commercial banks by examining the relationship between managerial intellectual capital and internationalization of commercial banks in Kenya. The paper used positivism philosophical approach and adopted cross-sectional descriptive research design. The target population was top and middle level managers in commercial banks in Kenya. Data was collected using a structured questionnaire and analyzed using Statistical Package for Social Sciences (SPSS) version 22.0 to obtain both descriptive and inferential statistics. In addition, Structural Equation Modelling (SEM) was used to establish the influence of managerial global mindset attributes on internationalization of commercial banks in Kenya. The study established that there was a significant and positive relationship between human capital, relational capital and structural capital as attributes of managerial intellectual capital and internationalization of commercial banks in Kenya. Further, the study established that human capital, relational capital, and structural capital have significant influence on the success of internationalization strategy of commercial banks in Kenya. Thus, structural capital, human capital and relational capital, which are the managerial intellectual capital attributes, jointly influence the success of the internationalization of commercial banks in Kenya. It is therefore recommended that when appointing managers, the management of commercial banks should consider factors such as an individual’s knowledge of global industry, global value networks, and global organization.
Managerial intellectual capital is one of the attributes of a global mindset, associated with knowledge, skill level, and creation of an organization competitive advantage. This paper sought to delve into the concept of internationalization of commercial banks by examining the relationship between managerial intellectual capital and internationalization of commercial banks in Kenya. The paper used positivism philosophical approach and adopted cross-sectional descriptive research design. The target population was top and middle level managers in commercial banks in Kenya. Data was collected using a structured questionnaire and analyzed using Statistical Package for Social Sciences (SPSS) version 22.0 to obtain both descriptive and inferential statistics. In addition, Structural Equation Modelling (SEM) was used to establish the influence of managerial global mindset attributes on internationalization of commercial banks in Kenya. The study established that there was a significant and positive relationship between human capital, relational capital and structural capital as attributes of managerial intellectual capital and internationalization of commercial banks in Kenya. Further, the study established that human capital, relational capital, and structural capital have significant influence on the success of internationalization strategy of commercial banks in Kenya. Thus, structural capital, human capital and relational capital, which are the managerial intellectual capital attributes, jointly influence the success of the internationalization of commercial banks in Kenya. It is therefore recommended that when appointing managers, the management of commercial banks should consider factors such as an individual’s knowledge of global industry, global value networks, and global organization.
This study aims to empirically examine the influence of intellectual capital towards company value and also its influence while being moderated by institutional ownership. This study uses purposive sampling to determine samples from manufacturing companies listed in Indonesia Stock Exchange during the year of 2014–2018. The total sample obtained in this study is 301 from the 720 population of data throughout the research year. Data analysis techniques use multiple regression and moderated regression analysis (MRA) methods. The results of this study show that Intellectual Capital has a positive significant effect on company value while institutional ownership does not have a significant effect on moderating the influence of intellectual capital towards company value. The practical implication of this study is to provide information to managers or owners of public manufacturing companies and investors about the importance of intangible assets investment like intellectual capital as the competitive strategies to achieve more optimal company value, as well as for regulator to make clear regulations about the disclosures of intangible assets.
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 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |