CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

Explore the evidence.
Understand the reach.

Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 01:59 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS93/3 with known counts
OPENALEX CITATIONS183/3 with known counts
OPENALEX MEAN6.0Per article with a known count
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institution: Islamic University of Indonesia Remove ×topic: Digital Marketing and Social Media Remove ×
Your research collection

Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Islamic University of Indonesia33/3 records with data

Countries

Indonesia33/3 records with data

Primary topics

Digital Marketing and Social Media33/3 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 3/3 articles. Latest history observation: 2026-10-22T01:59:41.513136+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Business Ecosystem & StrategyInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS9
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS3.0

Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS18
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY6.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 01:59 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–526–20121+0Unknown0

Institutions, countries & topics

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.

Institutions

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Citation year / OpenAlex

Citations received over time

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): 2026-10-21T07:22:48.955489+00:00 — 2026-10-22T01:59:41.513136+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications333/3
2023All selected publications533/3
2024All selected publications433/3
2025All selected publications533/3
2026All selected publications133/3

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean3.0
Median3
No citations11–516–20121+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
1331/13.03100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
26152/23.03.050.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

The influence of social media marketing activities on consumer engagement and brand knowledge in the culinary business in Indonesia

Khoirina Kencana Ningrum · Ratna Roostika

International Journal of Research in Business and Social Science · 2021

Read abstract

 This study aims to analyze the influence of elements of social media marketing activity on consumer engagement and brand knowledge including brand awareness and image. This study used a quantitative method and purposive sampling technique on 250 respondents. The research was conducted on all Indonesian citizens who use social media WhatsApp, Facebook, Instagram, youtube, and TikTok regarding the culinary business of celebrities and YouTubers in Indonesia. The method used is the Structural Equation Model with AMOS 24.0 Software. The results of this study indicate that the interaction variables, trends, and EWOM have a positive and significant effect on consumer engagement, and consumer engagement has a positive and significant effect on brand awareness and brand image. While the entertainment and customization variables have no significant effect on consumer engagement.

DOI 10.20525/ijrbs.v10i5.13146 Crossref citations14 OpenAlex citations
JOURNAL ARTICLE

The influence of social media communication on perspectives towards the Samsung brand

Irsyad Al-Fikri · Ratna Roostika

International Journal of Business Ecosystem & Strategy · 2023

Read abstract

This study aims to examine and analyze the influence of social media communications created by companies (Firm-created Communication – FCC) and users (User-generated Communication – UGC) on the user's perspective on brand equity and brand attitudes that have an impact on the purchase intention of Samsung products. The population of this study is users who do not use Samsung products to describe their interest in buying Samsung products. The object of this research is social media communications made by companies and users about Samsung products. The research sample consisted of 218 respondents who were not Samsung users and who at the time of the study were domiciled in Java or outside Java. The research data were then analyzed using the Structural Equation Model (AMOS v 23). Based on the research results, it is known that social media communications made by companies positively influence brand attitudes. User-generated social media communications positively influence brand equity and brand attitudes. Brand attitude positively affects brand equity. Brand equity and brand attitude positively influence purchase intention. However, social media communications made by the company have no effect on brand equity. This study reveals that communication made by users has more influence on purchase intention through brand equity and attitudes. Where equity and brand attitude are important in buying interest in a product.

DOI 10.36096/ijbes.v5i3.4273 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Social media marketing influence on the purchase interest of MS Glow Care Product

Dian Nastiti Nurcahyani · Asmai Ishak

International Journal of Research in Business and Social Science · 2023

Read abstract

This study aims to examine the influence of social media marketing activities, brand equity, and E-WOM on purchase intentions for MS Glow skin care products. The population is citizens of Indonesia who have social media accounts and are 18–35 years old.. The number of samples is 250 respondents with criteria aged 18-35 years who have social media accounts. Research data were collected through questionnaires through an online survey conducted using Google Forms. Data analysis techniques used the structural equation model (SEM) of the AMOS 26 program, whose results showed that social media marketing activity had a significant effect on brand equity and purchase intention, brand purchase had a significant effect on E-WoM, and E-WOM had a significant effect on purchase intention. MS Glow skin care products.

DOI 10.20525/ijrbs.v12i4.25940 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

The influence of social media communication on perspectives towards the Samsung brand

Irsyad Al-Fikri · Ratna Roostika

International Journal of Business Ecosystem & Strategy · 2023

Read abstract

This study aims to examine and analyze the influence of social media communications created by companies (Firm-created Communication – FCC) and users (User-generated Communication – UGC) on the user's perspective on brand equity and brand attitudes that have an impact on the purchase intention of Samsung products. The population of this study is users who do not use Samsung products to describe their interest in buying Samsung products. The object of this research is social media communications made by companies and users about Samsung products. The research sample consisted of 218 respondents who were not Samsung users and who at the time of the study were domiciled in Java or outside Java. The research data were then analyzed using the Structural Equation Model (AMOS v 23). Based on the research results, it is known that social media communications made by companies positively influence brand attitudes. User-generated social media communications positively influence brand equity and brand attitudes. Brand attitude positively affects brand equity. Brand equity and brand attitude positively influence purchase intention. However, social media communications made by the company have no effect on brand equity. This study reveals that communication made by users has more influence on purchase intention through brand equity and attitudes. Where equity and brand attitude are important in buying interest in a product.

DOI 10.36096/ijbes.v5i3.4273 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Social media marketing influence on the purchase interest of MS Glow Care Product

Dian Nastiti Nurcahyani · Asmai Ishak

International Journal of Research in Business and Social Science · 2023

Read abstract

This study aims to examine the influence of social media marketing activities, brand equity, and E-WOM on purchase intentions for MS Glow skin care products. The population is citizens of Indonesia who have social media accounts and are 18–35 years old.. The number of samples is 250 respondents with criteria aged 18-35 years who have social media accounts. Research data were collected through questionnaires through an online survey conducted using Google Forms. Data analysis techniques used the structural equation model (SEM) of the AMOS 26 program, whose results showed that social media marketing activity had a significant effect on brand equity and purchase intention, brand purchase had a significant effect on E-WoM, and E-WOM had a significant effect on purchase intention. MS Glow skin care products.

DOI 10.20525/ijrbs.v12i4.25940 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The influence of social media marketing activities on consumer engagement and brand knowledge in the culinary business in Indonesia

Khoirina Kencana Ningrum · Ratna Roostika

International Journal of Research in Business and Social Science · 2021

Read abstract

 This study aims to analyze the influence of elements of social media marketing activity on consumer engagement and brand knowledge including brand awareness and image. This study used a quantitative method and purposive sampling technique on 250 respondents. The research was conducted on all Indonesian citizens who use social media WhatsApp, Facebook, Instagram, youtube, and TikTok regarding the culinary business of celebrities and YouTubers in Indonesia. The method used is the Structural Equation Model with AMOS 24.0 Software. The results of this study indicate that the interaction variables, trends, and EWOM have a positive and significant effect on consumer engagement, and consumer engagement has a positive and significant effect on brand awareness and brand image. While the entertainment and customization variables have no significant effect on consumer engagement.

DOI 10.20525/ijrbs.v10i5.13146 Crossref citations14 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →