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 01:24 UTC — 22 Oct 2026 01:41 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 10 | 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): 2026-10-22T01:24:28.949582+00:00 — 2026-10-22T01:41:19.473960+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 | 1 | 2 | 2/2 |
| 2021 | All selected publications | 1 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 5 | 2 | 2/2 |
| 2024 | All selected publications | 3 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 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 |
|---|---|
| 2019 | 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 | 3 | 10 | 2/2 | 1.5 | 1.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study seeks to investigate the role of Social Media Advertising, E-Marketing, and Product Quality on Consumers’ Decision to Purchase Nature Cosmetics in North Sumatra-Indonesia partially and simultaneously. The data were analyzed using multiple Linear Regression model and coefficient of Determination. This research leads to the results that variables of Social Media Advertising, E-Marketing, and Product Quality simultaneously have a positive and significant impact on consumers’ decision in making purchases of Nature Cosmetics in North Sumatra-Indonesia and partially the variable of product quality is more dominant in consumers’ decision in purchasing Environment-friendly Cosmetics in North Sumatra-Indonesia. The coefficient of determination (R Square) shows that the variable of Social Media Advertising, E-Marketing, Product Quality is 0,593 or 59.3% while the remaining 40,7% is affected by other factors beyond the scope of this study.
Consumer buying behaviour is the study of individuals, groups, or organizations and all the activities associated with the purchase. This study aims to investigate the influence of commercial advertisement on consumer buying behaviour regarding internet companies in Erbil. The objectives of the study are multi fold, first To adumbrate the profile of the consumers in Erbil for future advertisement campaign, second to critically examine the perception of the consumer about advertisements, third to analyses and explain the new medium of advertisement and its impact, fourth to assess the role of advertisement in case of internet companies to promote their brands. Three internet companies are selected as sample size including Fast link, Newroz and Tishkent data collected via questionnaire by using 5 likers scale. A structured questionnaire was developed and distributed among 80 users of three internet service provider in Erbil, whereas 60 employees answered rightly. Most of the employees showed positive answers that they have influence of advertisement on their buying behavior toward internet services. This thing leads toward rejection of our Ho and acceptance of H1. Those who left behind with less positive answers main reason were found during survey that was they are with less education and most of them they are not aware with usage of smartphone. Related to future research other authors can consider other variables that are not coved under this study.
This study seeks to investigate the role of Social Media Advertising, E-Marketing, and Product Quality on Consumers’ Decision to Purchase Nature Cosmetics in North Sumatra-Indonesia partially and simultaneously. The data were analyzed using multiple Linear Regression model and coefficient of Determination. This research leads to the results that variables of Social Media Advertising, E-Marketing, and Product Quality simultaneously have a positive and significant impact on consumers’ decision in making purchases of Nature Cosmetics in North Sumatra-Indonesia and partially the variable of product quality is more dominant in consumers’ decision in purchasing Environment-friendly Cosmetics in North Sumatra-Indonesia. The coefficient of determination (R Square) shows that the variable of Social Media Advertising, E-Marketing, Product Quality is 0,593 or 59.3% while the remaining 40,7% is affected by other factors beyond the scope of this study.
Consumer buying behaviour is the study of individuals, groups, or organizations and all the activities associated with the purchase. This study aims to investigate the influence of commercial advertisement on consumer buying behaviour regarding internet companies in Erbil. The objectives of the study are multi fold, first To adumbrate the profile of the consumers in Erbil for future advertisement campaign, second to critically examine the perception of the consumer about advertisements, third to analyses and explain the new medium of advertisement and its impact, fourth to assess the role of advertisement in case of internet companies to promote their brands. Three internet companies are selected as sample size including Fast link, Newroz and Tishkent data collected via questionnaire by using 5 likers scale. A structured questionnaire was developed and distributed among 80 users of three internet service provider in Erbil, whereas 60 employees answered rightly. Most of the employees showed positive answers that they have influence of advertisement on their buying behavior toward internet services. This thing leads toward rejection of our Ho and acceptance of H1. Those who left behind with less positive answers main reason were found during survey that was they are with less education and most of them they are not aware with usage of smartphone. Related to future research other authors can consider other variables that are not coved under this study.
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 |