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% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 05:44 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS72/2 with known counts
OPENALEX CITATIONS182/2 with known counts
OPENALEX MEAN9.0Per article with a known count
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country: Indonesia Remove ×topic: COVID-19 Pandemic Impacts Remove ×
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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

University of Brawijaya1Muhammadiyah University of Yogyakarta1Muhammadiyah University Purwokerto12/2 records with data

Countries

Indonesia22/2 records with data

Primary topics

COVID-19 Pandemic Impacts22/2 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.

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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: 2/2 articles. Latest history observation: 2026-10-22T05:44:28.219526+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 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
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS7
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS3.5

Crossref citation coverage: 2 / 2 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%2 / 2 publications
MEAN · KNOWN COUNTS ONLY9.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY9.0

Observation range: 22 Oct 2026 01:30 UTC — 22 Oct 2026 05:44 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–506–20221+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

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Countries

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 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): 2026-10-22T01:30:19.193346+00:00 — 2026-10-22T05:44:28.219526+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

94.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 9 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications022/2
2019All selected publications022/2
2020All selected publications022/2
2021All selected publications222/2
2022All selected publications322/2
2023All selected publications922/2
2024All selected publications322/2
2025All selected publications122/2
2026All selected publications022/2

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 ↗

Crossref citation distribution

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

Mean3.5
Median3.5
No citations01–526–20021+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 Research in Business and Social Science
SSBFNET
27182/23.53.5100.02/2 · 100.0%

* Percentage among publications with a known citation count.

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View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

The effect of the COVID-19 pandemic on consumer behaviors: A study on gen-z in Indonesia

Nanang Suryadi · Rila Anggraeni · Dandi Ariyanto · Muhammad Fajrul Islam

International Journal of Research in Business and Social Science · 2022

Read abstract

Pandemic crises affect economic conditions both in terms of supply and demand. New post-pandemic attitudes and behavior patterns called The New Normal will change consumer behavior in the long run. The companies and manufacturers need to understand the changes in consumer behavior to maintain and increase market share. The study aims to examine the impact of the coronavirus pandemic on changes in Gen-Z behavior. The results explain and predict changes in Gen-Z behavior as reference material for marketing strategy design and a reference source for future research. This research uses a qualitative approach that is focus group discussion. The study was conducted in Indonesia in April 2021 with the younger generation as informants. This study specifically selected Generation Z as the target because this generation has unique characteristics and is currently the largest consumer. The results showed that the Covid-19 pandemic requires Gen-Z to adapt quickly and perform various activities that they usually do in digital ways, such as studying, working, shopping, physical exercise at home online. Covid-19, which has plagued the world in the long run where solutions are still not formulated, has Gen-Z with concerns about the future and health. Gen-Z becomes more concerned about physical health by paying attention to food intake and consuming more vitamins. To balance mental health, Gen-Z used online applications that are entertaining, such as online games, online concerts, and online recreation. Gen-Z's new behaviors and habits tend to consume more social media or apps that they can use to develop themselves.

DOI 10.20525/ijrbs.v10i8.14904 Crossref citations11 OpenAlex citations
JOURNAL ARTICLE

Abnormal return of Indonesian banking shares in the time of COVID 19

Erna Handayani · Alni Rahmawati · Eko Haryanto · Sri Wahyuni

International Journal of Research in Business and Social Science · 2020

Read abstract

With the pandemic Covid, the Indonesian government issued a fiscal policy through the Financial Services Authority (POJK 11 2020) on National Economic Stimulus as Policy Countercyclical Impact Deployment Coronavirus Disease, 2019. This study analyzes the reaction markets banking sector in Indonesia to the event announcement publication of these regulations. This quantitative study uses the Event Study methodology. This study uses abnormal return testing events on secondary data 45 Indonesian banks listed on the Jakarta Stock Exchange. The method of calculating the abnormal return uses the Market Model, with an estimated period of 21 days and a window period of 11 days. The research period was carried out between February 11 and March 20, 2020. The test carries out with an average of difference test before and after the event, with an error rate of 5%. Based on the cumulative abnormal return t-test, data shows that from minus five days, the regulation's announcement up to 5 days after which the market moves significantly negative. This event study is a news phenomenon of Indonesia's latest financial policies related to banking stocks during the Covid pandemic.

DOI 10.20525/ijrbs.v9i7.9643 Crossref citations7 OpenAlex citations

Selected results

JOURNAL ARTICLE

The effect of the COVID-19 pandemic on consumer behaviors: A study on gen-z in Indonesia

Nanang Suryadi · Rila Anggraeni · Dandi Ariyanto · Muhammad Fajrul Islam

International Journal of Research in Business and Social Science · 2022

Read abstract

Pandemic crises affect economic conditions both in terms of supply and demand. New post-pandemic attitudes and behavior patterns called The New Normal will change consumer behavior in the long run. The companies and manufacturers need to understand the changes in consumer behavior to maintain and increase market share. The study aims to examine the impact of the coronavirus pandemic on changes in Gen-Z behavior. The results explain and predict changes in Gen-Z behavior as reference material for marketing strategy design and a reference source for future research. This research uses a qualitative approach that is focus group discussion. The study was conducted in Indonesia in April 2021 with the younger generation as informants. This study specifically selected Generation Z as the target because this generation has unique characteristics and is currently the largest consumer. The results showed that the Covid-19 pandemic requires Gen-Z to adapt quickly and perform various activities that they usually do in digital ways, such as studying, working, shopping, physical exercise at home online. Covid-19, which has plagued the world in the long run where solutions are still not formulated, has Gen-Z with concerns about the future and health. Gen-Z becomes more concerned about physical health by paying attention to food intake and consuming more vitamins. To balance mental health, Gen-Z used online applications that are entertaining, such as online games, online concerts, and online recreation. Gen-Z's new behaviors and habits tend to consume more social media or apps that they can use to develop themselves.

DOI 10.20525/ijrbs.v10i8.14904 Crossref citations11 OpenAlex citations
JOURNAL ARTICLE

Abnormal return of Indonesian banking shares in the time of COVID 19

Erna Handayani · Alni Rahmawati · Eko Haryanto · Sri Wahyuni

International Journal of Research in Business and Social Science · 2020

Read abstract

With the pandemic Covid, the Indonesian government issued a fiscal policy through the Financial Services Authority (POJK 11 2020) on National Economic Stimulus as Policy Countercyclical Impact Deployment Coronavirus Disease, 2019. This study analyzes the reaction markets banking sector in Indonesia to the event announcement publication of these regulations. This quantitative study uses the Event Study methodology. This study uses abnormal return testing events on secondary data 45 Indonesian banks listed on the Jakarta Stock Exchange. The method of calculating the abnormal return uses the Market Model, with an estimated period of 21 days and a window period of 11 days. The research period was carried out between February 11 and March 20, 2020. The test carries out with an average of difference test before and after the event, with an error rate of 5%. Based on the cumulative abnormal return t-test, data shows that from minus five days, the regulation's announcement up to 5 days after which the market moves significantly negative. This event study is a news phenomenon of Indonesia's latest financial policies related to banking stocks during the Covid pandemic.

DOI 10.20525/ijrbs.v9i7.9643 Crossref citations7 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 →