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: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 01:21 UTC — 22 Oct 2026 03:31 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 / 3 with data · 1 missing or unmatched. Percentages use all 3 selected publications.
2 / 3 with data · 1 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 11 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-22T01:21:33.560575+00:00 — 2026-10-22T03:31:07.340364+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 | 3 | 3/3 |
| 2018 | All selected publications | 1 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 3 | 3/3 |
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 |
|---|---|
| 2014 | 3 |
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 | 3 | 4 | 11 | 3/3 | 1.33 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The paper concentrates on the value premium across countries and contributes to the investment and asset pricing literature in three ways. First, I provide fresh evidence that the high-value countries perform significantly better than the low-value countries. Additionally, this phenomenon is indifferent to the choice of the computational currency, representative index or value indicator. Second, I demonstrate that the value effect can be successfully amplified by combining with country-level size and momentum effects. Third, I show that returns to the high-value countries deteriorate in financial crisis conditions, because the country-level value premium is negatively correlated with the credit spreads, TED spread and expected volatility. I examine data from 66 markets between years 2000 and 2013.
The study investigated the operational efficiency of the Nigerian stock market between 1986-2010. This was necessary given the degree of thinness of the market. The objectives of the study were: to investigate the extent to which the operations of the market have contributed to the growth of the Nigerian economy and also to determine the functionality of the market. To achieve these objectives data were gathered on some capital market indicators from the stock exchange factbook of various years on market capitalization (MCAP), all share index (ASI) volume of transaction (VOLT) value of transaction (VALT) and number of listed companies (NLC) on the stock exchange. The data were tabulated, analyzed and tested using the ordinary least square statistical technique. Findings resulting from the test of data showed that NLC, VOLT, VALT, ASI and MCAP were positive and that increase in any of the above parameters would in turn cause an increase in the growth of the Nigerian economy at five and ten percent levels of significance. It further showed that the market was operationally weak form efficient. It was therefore recommended that government should continue to provide better macro-economic environment for the private sector to lead the economy on the part of sustainable growth and development.
The paper concentrates on value and size effects in country portfolios. It contributes to academic literature threefold. First, I provide fresh evidence that the value and size effects may be useful in explaining the cross-sectional variation in country returns. The computations are based on a broad sample of 66 countries in years 2000-2013. Second, I document that the country-level value and size effects are indifferent to currency conversions. Finally, I introduce an alternative macro-level Fama-French model, which, contrary to its prototype, employs country-based factors. I show that applying this modification makes the model more successful in evaluation of funds with global investment mandate than the standard CAPM and FF models.
The paper concentrates on value and size effects in country portfolios. It contributes to academic literature threefold. First, I provide fresh evidence that the value and size effects may be useful in explaining the cross-sectional variation in country returns. The computations are based on a broad sample of 66 countries in years 2000-2013. Second, I document that the country-level value and size effects are indifferent to currency conversions. Finally, I introduce an alternative macro-level Fama-French model, which, contrary to its prototype, employs country-based factors. I show that applying this modification makes the model more successful in evaluation of funds with global investment mandate than the standard CAPM and FF models.
The study investigated the operational efficiency of the Nigerian stock market between 1986-2010. This was necessary given the degree of thinness of the market. The objectives of the study were: to investigate the extent to which the operations of the market have contributed to the growth of the Nigerian economy and also to determine the functionality of the market. To achieve these objectives data were gathered on some capital market indicators from the stock exchange factbook of various years on market capitalization (MCAP), all share index (ASI) volume of transaction (VOLT) value of transaction (VALT) and number of listed companies (NLC) on the stock exchange. The data were tabulated, analyzed and tested using the ordinary least square statistical technique. Findings resulting from the test of data showed that NLC, VOLT, VALT, ASI and MCAP were positive and that increase in any of the above parameters would in turn cause an increase in the growth of the Nigerian economy at five and ten percent levels of significance. It further showed that the market was operationally weak form efficient. It was therefore recommended that government should continue to provide better macro-economic environment for the private sector to lead the economy on the part of sustainable growth and development.
The paper concentrates on the value premium across countries and contributes to the investment and asset pricing literature in three ways. First, I provide fresh evidence that the high-value countries perform significantly better than the low-value countries. Additionally, this phenomenon is indifferent to the choice of the computational currency, representative index or value indicator. Second, I demonstrate that the value effect can be successfully amplified by combining with country-level size and momentum effects. Third, I show that returns to the high-value countries deteriorate in financial crisis conditions, because the country-level value premium is negatively correlated with the credit spreads, TED spread and expected volatility. I examine data from 66 markets between years 2000 and 2013.
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 |