CiteNScope — Scholarly Index & Analytics
Discover / Analytics RESEARCH INTELLIGENCE
CiteNScope / Analytics

Explore the evidence.
Understand the reach.

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

Compare journals ↗
OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 04:44 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS93/3 with known counts
OPENALEX CITATIONS143/3 with known counts
OPENALEX MEAN4.67Per article with a known count
Explore articles 3 →
Filter collection Publication years, search & more
Reset
topic: COVID-19 Pandemic Impacts 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.

View data & coverage

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.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Kenyatta University1Ibn Haldun University1Gaziantep University13/3 records with data

Countries

Turkey2Kenya13/3 records with data

Primary topics

COVID-19 Pandemic Impacts33/3 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: 2026-10-22T04:44:42.968506+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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS9
CROSSREF · CITED PUBLICATIONS100.0%
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 CITATIONS14
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY4.673 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY5

Observation range: 22 Oct 2026 01:43 UTC — 22 Oct 2026 04:44 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–526–20121+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): 2026-10-22T01:43:37.319474+00:00 — 2026-10-22T04:44:42.968506+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

84.00 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: 2 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 8 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 0 · 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 publications233/3
2022All selected publications833/3
2023All selected publications333/3
2024All selected publications133/3
2025All selected publications033/3
2026All selected publications033/3

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
Median2
No citations01–526–20121+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 Research in Business and Social Science
SSBFNET
39143/33.02100.03/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Investigating the impact of Covid-19 pandemic on stock markets

Mustapher Faque · Umit Hacioglu

International Journal of Research in Business and Social Science · 2021

Read abstract

This paper aims to examine the impact of Covid-19 pandemic on stock markets. This paper also analyses the stock market cointegration of selected global equity indices that performed better and have a quick speed of recovery during the pandemic. This paper also questions how increasing uncertainty and volatility deters investors’ perception of the diversification of equity investments. The dataset for the selected 12 global equity indices has been used from Thompson Reuters’s EIKON database in a given period of time between 2010 and 2021. This paper employs Vector Error Correction Models to assess the relationship among the selected global equity indices. Findings demonstrate that (i) there is an adverse impact of Covid-19 on the Global Equity markets, (ii) there is a clear sign of cointegration in global equity indices, (ii) investors can benefit from investing in particular equity indices that have exhibited quick speed of recovery from the pandemic records lows. The findings finally provide a strong foundation for constructing a resilient equity portfolio in a highly uncertain market environment.

DOI 10.20525/ijrbs.v10i7.14616 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Covid-19 financial distancing for MSMEs in Kenya

Nathan Mwenda Mutwiri

International Journal of Research in Business and Social Science · 2021

Read abstract

The Micro Small and Medium Enterprises (MSMEs) are important for every nation’s economic development. They provide employment and spur the growth of multiple sectors in the economy.  The Covid-19 pandemic has negatively affected MSMEs' performance. The study seeks to demonstrate why COVID 19 may lead to the terminal quarantining of MSMEs. The study is anchored on decision usefulness and information asymmetry theories. The study adopted a descriptive research methodology and sampled MSMEs within Nairobi City County. The study used SPSS to analyze data in addition to Microsoft excel. The study found that over 70% of MSMEs had their sales decline by over 65% while 95% of them had their sales decline by over 30%. The study found that about 68% of MSMEs lacked financial management skills. The study recommends that with legal and institutional reforms, the government needs to develop a financing framework for MSMEs.  

DOI 10.20525/ijrbs.v10i3.11102 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Covidomics & covidocial impacts: The relation between consumers’ fear of Covid-19, panic spending and saving behavior

Gul Ekinci

International Journal of Research in Business and Social Science · 2021

Read abstract

In this study, the fear created by the Covid-19 global epidemic on consumers (general fear of viruses and fear of activity), spending (cleaning products, preventive health products, fresh and organic food and vitamin/mineral support, clothing, education, home purchasing, vehicle, loan. The relationship between buying, rental, fashion, vacation, travel, entertainment, electronics, home decor/furniture, mobile phone, activity and general) and savings have been tested. For this purpose, in order to test the relationship between fear, saving, and spending during the Covid-19 pandemic process, a Likert-scale online survey link was shared on social networks (Twitter, LinkedIn). The total of 385 surveys was analyzed using Google Form and SPSS program (Anova, Regression). As a result of the analysis, fear (general fear and fear of activity), spending (education, vehicles/cars, monopoly products, and tobacco products, games of chance, home buying and renting, loans, luxury/fashion, games, and toys, vitamins, minerals, and food support, public services, home, and furniture décor, electronic products (including mobile phones) expenditures remained the same, protective healthcare products, cleaning products, fresh and organic food expenditures increased, travel, public transportation expenditures decreased, holiday and entertainment expenditures decreased significantly). In the research, it was determined that 42% of the participants increased their savings by 30.5% slightly, and the amount of savings did not change at all for 27% of the participants. According to the results, as consumers' fear of Covid-19 increases, some spending categories (health products, cleaning products, fresh and organic food spending) and savings rate increase. In addition, it was observed that 90% of the participants canceled their expenses due to Covid-19. As a result of the research, significant relationships were found between the variables of fear, saving, and spending during the Covid-19 pandemic process.

DOI 10.20525/ijrbs.v10i3.11471 Crossref citations3 OpenAlex citations

Selected results

JOURNAL ARTICLE

Investigating the impact of Covid-19 pandemic on stock markets

Mustapher Faque · Umit Hacioglu

International Journal of Research in Business and Social Science · 2021

Read abstract

This paper aims to examine the impact of Covid-19 pandemic on stock markets. This paper also analyses the stock market cointegration of selected global equity indices that performed better and have a quick speed of recovery during the pandemic. This paper also questions how increasing uncertainty and volatility deters investors’ perception of the diversification of equity investments. The dataset for the selected 12 global equity indices has been used from Thompson Reuters’s EIKON database in a given period of time between 2010 and 2021. This paper employs Vector Error Correction Models to assess the relationship among the selected global equity indices. Findings demonstrate that (i) there is an adverse impact of Covid-19 on the Global Equity markets, (ii) there is a clear sign of cointegration in global equity indices, (ii) investors can benefit from investing in particular equity indices that have exhibited quick speed of recovery from the pandemic records lows. The findings finally provide a strong foundation for constructing a resilient equity portfolio in a highly uncertain market environment.

DOI 10.20525/ijrbs.v10i7.14616 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Covid-19 financial distancing for MSMEs in Kenya

Nathan Mwenda Mutwiri

International Journal of Research in Business and Social Science · 2021

Read abstract

The Micro Small and Medium Enterprises (MSMEs) are important for every nation’s economic development. They provide employment and spur the growth of multiple sectors in the economy.  The Covid-19 pandemic has negatively affected MSMEs' performance. The study seeks to demonstrate why COVID 19 may lead to the terminal quarantining of MSMEs. The study is anchored on decision usefulness and information asymmetry theories. The study adopted a descriptive research methodology and sampled MSMEs within Nairobi City County. The study used SPSS to analyze data in addition to Microsoft excel. The study found that over 70% of MSMEs had their sales decline by over 65% while 95% of them had their sales decline by over 30%. The study found that about 68% of MSMEs lacked financial management skills. The study recommends that with legal and institutional reforms, the government needs to develop a financing framework for MSMEs.  

DOI 10.20525/ijrbs.v10i3.11102 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Covidomics & covidocial impacts: The relation between consumers’ fear of Covid-19, panic spending and saving behavior

Gul Ekinci

International Journal of Research in Business and Social Science · 2021

Read abstract

In this study, the fear created by the Covid-19 global epidemic on consumers (general fear of viruses and fear of activity), spending (cleaning products, preventive health products, fresh and organic food and vitamin/mineral support, clothing, education, home purchasing, vehicle, loan. The relationship between buying, rental, fashion, vacation, travel, entertainment, electronics, home decor/furniture, mobile phone, activity and general) and savings have been tested. For this purpose, in order to test the relationship between fear, saving, and spending during the Covid-19 pandemic process, a Likert-scale online survey link was shared on social networks (Twitter, LinkedIn). The total of 385 surveys was analyzed using Google Form and SPSS program (Anova, Regression). As a result of the analysis, fear (general fear and fear of activity), spending (education, vehicles/cars, monopoly products, and tobacco products, games of chance, home buying and renting, loans, luxury/fashion, games, and toys, vitamins, minerals, and food support, public services, home, and furniture décor, electronic products (including mobile phones) expenditures remained the same, protective healthcare products, cleaning products, fresh and organic food expenditures increased, travel, public transportation expenditures decreased, holiday and entertainment expenditures decreased significantly). In the research, it was determined that 42% of the participants increased their savings by 30.5% slightly, and the amount of savings did not change at all for 27% of the participants. According to the results, as consumers' fear of Covid-19 increases, some spending categories (health products, cleaning products, fresh and organic food spending) and savings rate increase. In addition, it was observed that 90% of the participants canceled their expenses due to Covid-19. As a result of the research, significant relationships were found between the variables of fear, saving, and spending during the Covid-19 pandemic process.

DOI 10.20525/ijrbs.v10i3.11471 Crossref citations3 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 →