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: 6 / 6 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 01:10 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 54 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 119 | 6 | 6/6 | 6/6 |
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 6 / 6 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): 2026-10-22T01:10:34.580557+00:00 — 2026-10-22T02:49:38.117535+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 1 | 6 | 6/6 |
| 2021 | All selected publications | 12 | 6 | 6/6 |
| 2022 | All selected publications | 19 | 6 | 6/6 |
| 2023 | All selected publications | 32 | 6 | 6/6 |
| 2024 | All selected publications | 28 | 6 | 6/6 |
| 2025 | All selected publications | 19 | 6 | 6/6 |
| 2026 | All selected publications | 8 | 6 | 6/6 |
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 | 6 |
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 | 5 | 53 | 118 | 5/5 | 10.6 | 1 | 60.0 | 5/5 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.
This research aims to determine the influence of macroeconomic variables on stock return and its impact on corporate values. The population in this research is the sector of agriculture because based on the results of the sector's observation, the most severe decline in performance among others. Further sampling is done by the purposive sampling method, so from 22 companies that listings only 15 companies that meet the criteria. The analytical technique to be used in this study is to use a double linear regression analysis technique expanded with a pathway analysis method to obtain a comprehensive picture of the relationship between variables of one variable with other. We find is an inflation and interest rate negatively and significantly affecting the return of shares. The exchange rate positively and significantly affects the stock return and the influential stock return rate positively and significant to the corporate values.
This research aims to determine the influence of return on assets, return on equity, and net profit margin against stock valuation reflected with the price earning ratio and its impact on the price to book value of retail trade companies listed on the Indonesia Stock Exchange period 2009-2018. The method used in this research is a descriptive method of analysis with a quantitative approach. The type of data used in this study is secondary data. The population in this research is a trade retail company listed on the Indonesia Stock Exchange period 2009-2018, consisting of 31 retail trade companies. Sampling technique used in this research is purposive sampling technique, with certain predefined criteria, which obtained 11 trade retail companies that meet the criteria. The analytical technique that will be used in this study is a double linear regression analysis technique that expanded by a method of pathway analysis to obtain a thorough picture of the relationship between one variable and another variable. The results found that a partial return on asset variable, return on equity, and net profit margin had a significant influence on the price earning ratio, and the price earning ratio also had a significant influence on price to book value.
This study aims to examine whether there is an influence of leverage on earnings response coefficients with corporate governance as moderation. This study uses 108 data of manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the year of observation 2016 to 2018. The analysis technique used in this study is a moderated regression analysis using SPSS version 24. The results of this study provide empirical evidence that leverage has an effect but not significant on the earnings response coefficient. This study also provides empirical evidence that corporate governance is unable to strengthen or weaken the effect of leverage on the earnings response coefficient.
Instrument which conventionaly used to invest in a capital market is stock. Investor who invested in stocks wanted a certain level of profits from it, the profit from the result of the investment is called stock return. The increase or decreases of investors’ stock return acquisition were determined by monetary performance projected in the company monetary report. The purpose of this research is to discover the monetary performance of stock return on the category of consumer goods industry company in 2015-2018 periode using EPS (Earnings Per Share), ROE (Return on equity), and DER (Debt to equity ratio) as its measurement tools.
 The method used in this research is causal method with consumer goods industry company sector as its research object. Purposive sampling was used as research sample extraction and as a result, 14 companies were determined as data sample. The data were analyzed using classic assumption test (normality, multicollinearity dan heteroskedasticity). The samples were analyzed using data analysis panel or pooled data. 
 From the result of the research it was determined that monetary performance projected in return on equity was significantly affected the stock return. As for the monetary performance projected in earning per share and debt to equity ratio, was partially insignificant to its effect on stock return. Both monetary performance projected in earning per share, return on equity and debt to equity ratio was significantly affected the stock return of consumer goods industry company in 2015-2018.
As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.
The purpose of this study investigate effect of investment decisions, tax management on stock liquidity and investigate the effect of investment decisions, tax management on stock liquidity which moderated by liquidity. Novelty in the study is on the measurement of tax management variables, the contribution of this study is to introduce a new measurement of tax management and to provide information about investor responses and prospective investors in the stock market on tax management by companies in the context of Indonesia. The population of this study is manufacturing companies listed on the Indonesia Stock Exchange, determination of study samples using purposive sampling method with the criteria listed before 2015, complete data and non-delisting so as to obtain 127 manufacturing companies with 5 years observation year (2014-2018) and obtained 635 company years data, multiple regression analysis and moderate regression analysis (MRA) were used in this study. Research findings: 1) Investment Decisions, Tax Management simultaneously influences and significant affects Stock Liquidity. 2) Investment Decisions have an effect and significant on Stock Liquidity. 3) Tax Management has an effect and is not significant on Stock Liquidity. 4) The effect of Investment Decisions on Stock Liquidity is not moderated by liquidity. 5) The effect of Tax Management on Stock Liquidity is not moderated by liquidity.
Instrument which conventionaly used to invest in a capital market is stock. Investor who invested in stocks wanted a certain level of profits from it, the profit from the result of the investment is called stock return. The increase or decreases of investors’ stock return acquisition were determined by monetary performance projected in the company monetary report. The purpose of this research is to discover the monetary performance of stock return on the category of consumer goods industry company in 2015-2018 periode using EPS (Earnings Per Share), ROE (Return on equity), and DER (Debt to equity ratio) as its measurement tools.
 The method used in this research is causal method with consumer goods industry company sector as its research object. Purposive sampling was used as research sample extraction and as a result, 14 companies were determined as data sample. The data were analyzed using classic assumption test (normality, multicollinearity dan heteroskedasticity). The samples were analyzed using data analysis panel or pooled data. 
 From the result of the research it was determined that monetary performance projected in return on equity was significantly affected the stock return. As for the monetary performance projected in earning per share and debt to equity ratio, was partially insignificant to its effect on stock return. Both monetary performance projected in earning per share, return on equity and debt to equity ratio was significantly affected the stock return of consumer goods industry company in 2015-2018.
This study aims to examine whether there is an influence of leverage on earnings response coefficients with corporate governance as moderation. This study uses 108 data of manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the year of observation 2016 to 2018. The analysis technique used in this study is a moderated regression analysis using SPSS version 24. The results of this study provide empirical evidence that leverage has an effect but not significant on the earnings response coefficient. This study also provides empirical evidence that corporate governance is unable to strengthen or weaken the effect of leverage on the earnings response coefficient.
This research aims to determine the influence of return on assets, return on equity, and net profit margin against stock valuation reflected with the price earning ratio and its impact on the price to book value of retail trade companies listed on the Indonesia Stock Exchange period 2009-2018. The method used in this research is a descriptive method of analysis with a quantitative approach. The type of data used in this study is secondary data. The population in this research is a trade retail company listed on the Indonesia Stock Exchange period 2009-2018, consisting of 31 retail trade companies. Sampling technique used in this research is purposive sampling technique, with certain predefined criteria, which obtained 11 trade retail companies that meet the criteria. The analytical technique that will be used in this study is a double linear regression analysis technique that expanded by a method of pathway analysis to obtain a thorough picture of the relationship between one variable and another variable. The results found that a partial return on asset variable, return on equity, and net profit margin had a significant influence on the price earning ratio, and the price earning ratio also had a significant influence on price to book value.
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 |