CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 23 Oct 2026, 11:26 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS183/3 with known counts
OPENALEX CITATIONS233/3 with known counts
OPENALEX MEAN7.67Per article with a known count
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institution: International Burch University 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

International Burch University33/3 records with data

Countries

Bosnia & Herzegovina33/3 records with data

Primary topics

Consumer Behavior in Brand Consumption and Identification1Digital Marketing and Social Media1Product Development and Customization13/3 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.

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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: 3/3 articles. Latest history observation: 2026-10-23T11:26:47.775882+00:00. Source totals are never added together.
Research side by side

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

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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 CITATIONS18
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS6.0

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 CITATIONS23
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY7.673 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY4

Observation range: 21 Oct 2026 07:22 UTC — 23 Oct 2026 11:26 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–516–20121+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): 2026-10-21T07:22:43.975500+00:00 — 2026-10-23T11:26:47.775882+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 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: 0 · 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: 9 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 8 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 3 · 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 publications033/3
2023All selected publications333/3
2024All selected publications933/3
2025All selected publications833/3
2026All selected publications333/3

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.

Mean6.0
Median2
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 Research in Business and Social Science
SSBFNET
318233/36.0266.73/3 · 100.0%

* Percentage among publications with a known citation count.

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View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Influence of search engine optimization (SEO) on business performance

Mersid Poturak · Dino Keco · Eldar Tutnic

International Journal of Research in Business and Social Science · 2022

Read abstract

The aim of the paper is to investigate the impact of SEO on the business performance of a private university in Sarajevo. Thus, the main research question provides the finding on how does the implementation of SEO influence the performance of the business. Moreover, the tested hypothesis presents whether SEO positively influences the business performance of International Burch University (IBU). The research strategy is to analyze primary data derived from a case study, which is generated following a conversation with the Head of the IBU Marketing and PR team. The data sample is derived from Google Analytics (focusing on the number of visits and sessions, average engagement time, keywords and SERP positioning). Seobility tools are employed in data analysis. Business performance is calculated through the IBU CRM system, focusing on student enrolment. Findings indicate that increasing a site's rankings on search engine results pages (SERPs) led to a variety of positive outcomes for companies including an increase in the number of visitors to the site, an increase in the average amount of time users spent on the site, increased user engagement, and an increase in student enrollment, which resulted in IBU increased annual sales revenue. It will benefit many different groups, including the government, which will benefit in both microeconomic and macroeconomic senses, digital marketing enthusiasts and SEO experts, and the academic world, which will benefit as a framework for future studies and research in the field of SEO recognition and implementation in business queries.

DOI 10.20525/ijrbs.v11i4.186516 Crossref citations19 OpenAlex citations
JOURNAL ARTICLE

Influence of brand loyalty on consumer purchase behavior

Lejla Catic · Mersid Poturak

International Journal of Research in Business and Social Science · 2022

Read abstract

The subject of scientific research is the examination of the difference in brand loyalty factors according to the socio-demographic characteristics (age, education, income level) of confectionary consumers, as well as the examination of the connection between brand loyalty factors and brand loyalty of confectionary consumers in Serbia. 200 respondents completed the structured questionnaire. Determining the difference in brand loyalty factors according to socio-demographic characteristics of confectionary consumers was performed using the f test, while the correlation between the brand loyalty factors and brand loyalty was performed using Spearman's rank correlation as a non-parametric alternative to Pearson's correlation. It was determined that there is a significant difference in brand loyalty factors according to the age, education, and income level of confectionary consumers. There is also a statistically significant correlation between all brand loyalty factors and brand loyalty.

DOI 10.20525/ijrbs.v11i8.20242 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Examination of the importance of the process of developing new products

Bajro Catic · Mersid Poturak

International Journal of Research in Business and Social Science · 2022

Read abstract

The subject of scientific research is the examination of the importance of the process of developing new products, as well as the benefits of developing new products in the food and beverage industry in Serbia, Bosnia and Herzegovina, and Montenegro. 350 respondents completed the structured questionnaire. The effects of the new product development process on the benefits of new product development were performed using multiple regression analysis. In contrast, the correlation between the new product development process and the benefits of new product development was performed using Spearman's rank correlation as a non-parametric alternative to Pearson's correlation. It was determined that there is a significant impact of the NPD process on the NPD benefit, and there is also a statistically significant correlation between all phases of the NPD process with the NPD benefit.

DOI 10.20525/ijrbs.v11i7.20230 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Influence of brand loyalty on consumer purchase behavior

Lejla Catic · Mersid Poturak

International Journal of Research in Business and Social Science · 2022

Read abstract

The subject of scientific research is the examination of the difference in brand loyalty factors according to the socio-demographic characteristics (age, education, income level) of confectionary consumers, as well as the examination of the connection between brand loyalty factors and brand loyalty of confectionary consumers in Serbia. 200 respondents completed the structured questionnaire. Determining the difference in brand loyalty factors according to socio-demographic characteristics of confectionary consumers was performed using the f test, while the correlation between the brand loyalty factors and brand loyalty was performed using Spearman's rank correlation as a non-parametric alternative to Pearson's correlation. It was determined that there is a significant difference in brand loyalty factors according to the age, education, and income level of confectionary consumers. There is also a statistically significant correlation between all brand loyalty factors and brand loyalty.

DOI 10.20525/ijrbs.v11i8.20242 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Examination of the importance of the process of developing new products

Bajro Catic · Mersid Poturak

International Journal of Research in Business and Social Science · 2022

Read abstract

The subject of scientific research is the examination of the importance of the process of developing new products, as well as the benefits of developing new products in the food and beverage industry in Serbia, Bosnia and Herzegovina, and Montenegro. 350 respondents completed the structured questionnaire. The effects of the new product development process on the benefits of new product development were performed using multiple regression analysis. In contrast, the correlation between the new product development process and the benefits of new product development was performed using Spearman's rank correlation as a non-parametric alternative to Pearson's correlation. It was determined that there is a significant impact of the NPD process on the NPD benefit, and there is also a statistically significant correlation between all phases of the NPD process with the NPD benefit.

DOI 10.20525/ijrbs.v11i7.20230 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Influence of search engine optimization (SEO) on business performance

Mersid Poturak · Dino Keco · Eldar Tutnic

International Journal of Research in Business and Social Science · 2022

Read abstract

The aim of the paper is to investigate the impact of SEO on the business performance of a private university in Sarajevo. Thus, the main research question provides the finding on how does the implementation of SEO influence the performance of the business. Moreover, the tested hypothesis presents whether SEO positively influences the business performance of International Burch University (IBU). The research strategy is to analyze primary data derived from a case study, which is generated following a conversation with the Head of the IBU Marketing and PR team. The data sample is derived from Google Analytics (focusing on the number of visits and sessions, average engagement time, keywords and SERP positioning). Seobility tools are employed in data analysis. Business performance is calculated through the IBU CRM system, focusing on student enrolment. Findings indicate that increasing a site's rankings on search engine results pages (SERPs) led to a variety of positive outcomes for companies including an increase in the number of visitors to the site, an increase in the average amount of time users spent on the site, increased user engagement, and an increase in student enrollment, which resulted in IBU increased annual sales revenue. It will benefit many different groups, including the government, which will benefit in both microeconomic and macroeconomic senses, digital marketing enthusiasts and SEO experts, and the academic world, which will benefit as a framework for future studies and research in the field of SEO recognition and implementation in business queries.

DOI 10.20525/ijrbs.v11i4.186516 Crossref citations19 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 →