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, 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 01:49 UTC — 22 Oct 2026 02:49 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 13 | 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): 2026-10-22T01:49:30.325509+00:00 — 2026-10-22T02:49:23.477835+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 | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 2 | 3 | 3/3 |
| 2021 | All selected publications | 1 | 3 | 3/3 |
| 2022 | All selected publications | 3 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 5 | 3 | 3/3 |
| 2025 | All selected publications | 2 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2019 | 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 | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 3 | 13 | 2/2 | 1.5 | 1.5 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Price-Earning Ratio or P/E Multiple is a widely used, straightforward investment assessment tool in developed countries. However, the method has not been utilized as much in stock market performance analysis in developing countries such as the Philippines. Using the top ten universal banks in the country, this paper utilized Price-Earnings Ratio [PER] as valuation tool and dependent variable, and sought to determine its value drivers. Used as independent variables are macroeconomic variables gross domestic product [GDP] growth rate, inflation rate, annual interest rate; stock market index Philippine Stock Exchange [PSEi]; and firm-specific variables return on equity [ROE], growth rate of ROE, growth rate of earnings per share, dividend payout ratio [DPO, growth rate of income, and price-book value [PBV] ratio. Results showed that among the independent variables, ROE, PBV ratio, and PSE index are statistically significant. The model’s (R2) is 63.7%, which is a fairly good fit.
Universal banks are important economic drivers in the Philippines since they provide the financial backbone for businesses and investments. Universal banks comprise 90% of the country’s banking system resources. Eleven [11] of the twenty-one [21] universal banks in the country are listed in the Philippine Stock Exchange, and these banks are the top universal banks based on capitalization. Price to Earnings Ratio [PER] is a commonly utilized investment assessment tool and this ratio indicates how much investors are willing to pay for a stock and is calculated as the ratio of the stock price over earnings per share. Since the stock price is dictated by the stock market, this paper seeks to determine if the P/E ratio of universal banks in the Philippines is correlated to its stock returns, the implication of which is how to form an appropriate balance between stock price volatility and banks’ valuation. The paper uses panel data of the 11 listed universal banks from 2010 to 2018, using Pearson Correlation. The study resulted in a generally weak correlation, however, there were banks that exhibited strong, positive, significant correlation.
Universal banks combine commercial loan services and public deposit functions with investment, and other services such as home and auto financing, mutual funds, pension and insurance to name a few. The importance of universal banks have been recognized in emerging economies, and its growth spur economic growth and development of many countries in the world. Most universal banks are listed in stock exchanges, and as financial intermediaries, not only these banks expand their already wide portfolios but they allow more global investors into the fold, almost like a foreign direct investor, the difference only is, the investor don’t have to leave the home country. Since these banks are considered to be among the key players in stock markets, and this study seeks to understand what factors drive their performance in stock exchange so that global investors be aided in making investment decisions on universal banks.
Universal banks combine commercial loan services and public deposit functions with investment, and other services such as home and auto financing, mutual funds, pension and insurance to name a few. The importance of universal banks have been recognized in emerging economies, and its growth spur economic growth and development of many countries in the world. Most universal banks are listed in stock exchanges, and as financial intermediaries, not only these banks expand their already wide portfolios but they allow more global investors into the fold, almost like a foreign direct investor, the difference only is, the investor don’t have to leave the home country. Since these banks are considered to be among the key players in stock markets, and this study seeks to understand what factors drive their performance in stock exchange so that global investors be aided in making investment decisions on universal banks.
Universal banks are important economic drivers in the Philippines since they provide the financial backbone for businesses and investments. Universal banks comprise 90% of the country’s banking system resources. Eleven [11] of the twenty-one [21] universal banks in the country are listed in the Philippine Stock Exchange, and these banks are the top universal banks based on capitalization. Price to Earnings Ratio [PER] is a commonly utilized investment assessment tool and this ratio indicates how much investors are willing to pay for a stock and is calculated as the ratio of the stock price over earnings per share. Since the stock price is dictated by the stock market, this paper seeks to determine if the P/E ratio of universal banks in the Philippines is correlated to its stock returns, the implication of which is how to form an appropriate balance between stock price volatility and banks’ valuation. The paper uses panel data of the 11 listed universal banks from 2010 to 2018, using Pearson Correlation. The study resulted in a generally weak correlation, however, there were banks that exhibited strong, positive, significant correlation.
Price-Earning Ratio or P/E Multiple is a widely used, straightforward investment assessment tool in developed countries. However, the method has not been utilized as much in stock market performance analysis in developing countries such as the Philippines. Using the top ten universal banks in the country, this paper utilized Price-Earnings Ratio [PER] as valuation tool and dependent variable, and sought to determine its value drivers. Used as independent variables are macroeconomic variables gross domestic product [GDP] growth rate, inflation rate, annual interest rate; stock market index Philippine Stock Exchange [PSEi]; and firm-specific variables return on equity [ROE], growth rate of ROE, growth rate of earnings per share, dividend payout ratio [DPO, growth rate of income, and price-book value [PBV] ratio. Results showed that among the independent variables, ROE, PBV ratio, and PSE index are statistically significant. The model’s (R2) is 63.7%, which is a fairly good fit.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |