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, 02:39 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS33/3 with known counts
OPENALEX CITATIONS83/3 with known counts
OPENALEX MEAN2.67Per article with a known count
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topic: Intellectual Property and Patents 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.

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

World Intellectual Property Organization1The University of Texas at Arlington1University of Wisconsin–Milwaukee13/3 records with data

Countries

Switzerland1Oman1Turkey13/3 records with data

Primary topics

Intellectual Property and Patents33/3 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: 2026-10-22T02:39:27.816372+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
Bussecon Review of Social SciencesInternational 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 CITATIONS3
CROSSREF · CITED PUBLICATIONS33.3%
CROSSREF · MEAN CITATIONS1.0

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 CITATIONS8
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY2.673 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY4

Observation range: 22 Oct 2026 01:34 UTC — 22 Oct 2026 02:39 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–526–20021+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): 2026-10-22T01:34:33.858126+00:00 — 2026-10-22T02:39:27.816372+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

42.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 2 · 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: 0 · 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: 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 publications133/3
2019All selected publications133/3
2020All selected publications233/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications433/3
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.

Mean1.0
Median0
No citations21–516–20021+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
Bussecon Review of Social Sciences
Bussecon International Academy
1341/13.03100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
2042/20.00.00.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

The conflict between Apple and Samsung over patents and copyrights

Hani Albasoos · Nabil Al Musallami

Bussecon Review of Social Sciences · 2020

Read abstract

This article seeks to explore the conflict between Samsung and Apple. The conflict has been one of the most outstanding patent wars in the history of the smartphone industry. Apple and Samsung are among the most popular manufacturers of commonly used smartphones and tablets. The conflict began when Apple decided to file a federal lawsuit in the US district court, accusing Samsung of copying some of its iPhone features in the Samsung Galaxy S II smartphone. The court ascertained that the gadget had similar characteristics to Apple, thus ordering Samsung to pay Apple for the damages. In response, Samsung reacted by filing countersuits. The two firms, almost fifty cases in different nations and regions. The issues lasted for seven years, starting from 2011 and ending in 2016, in which both companies benefited and lost at the same time. The conflict emanated because of each firm pursuing its competitive advantage in the market. Apart from following market shares, third parties, like consumers, instigated the conflict, with international politics and the media playing a role.

DOI 10.36096/brss.v3i3.2063 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

External funding and emergent technology inputs

Edward Levitas · M. Ann McFadyen

International Journal of Research in Business and Social Science · 2020

Read abstract

The research and development (R&D) process is critical to a firm’s competitive advantage and often requires external funding.  Yet, we know little about how different types of investors respond to the cash needs of established R&D intensive firms nor about how external financial analysts influence those decisions.  We address these gaps by examining how a firm’s patenting activity affects its ability to raise cash.  We distinguish the motivations of two investor groups: open-market and alliance partners.  We focus on how patents based on emergent technologies impact two types of investors and their willingness to fund the R&D process.  We develop theory and test our hypotheses using data from publicly traded biopharmaceutical firms by drawing upon knowledge-based view, alliance, and investment theories.  We find evidence that patents built upon emergent technologies are viewed differently by the two types of investors.  We find open market investors were less likely to invest in emergent technologies and invested less when they did.  Conversely, alliance partner investors would be more appreciative of the opportunities new technology inputs present, thus, more likely to invest in firms using emergent technologies and invest more. 

DOI 10.20525/ijrbs.v9i5.8330 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Patent Data Visualization

Ulas Akkucuk · Mehmet Nafi Artemel

International Journal of Research in Business and Social Science · 2016

Read abstract

The importance given by the governments to building a sound intellectual property infrastructure is increasing in developing countries and especially in Central Asian countries. This infrastructure is continuously improved to live up to a common standard in collaboration with government agencies, educational institutions and international agencies. In this paper, the infrastructure developments that took place in the Central Asian countries is going to be elaborated and furthermore some statistical analyses will be used in order to compare the differences and similarities between the Central Asian republics within themselves and the rest of the world. Patent based statistical data reveal a broad range of information concerning the innovative capability of countries, regions and firms. The number of patents that a country obtains in different technological fields and the change in this number over the years may provide useful information regarding the growth potential of the country and the ability to follow technological advances. For this purpose, patent statistics collected by institutions like World Intellectual Property Organization (WIPO) have been analyzed using statistical techniques. In addition to basic statistics, multidimensional scaling analysis (MDS) has been applied to the data sets.

DOI 10.20525/ijrbs.v5i3.3580 Crossref citations4 OpenAlex citations

Selected results

JOURNAL ARTICLE

The conflict between Apple and Samsung over patents and copyrights

Hani Albasoos · Nabil Al Musallami

Bussecon Review of Social Sciences · 2020

Read abstract

This article seeks to explore the conflict between Samsung and Apple. The conflict has been one of the most outstanding patent wars in the history of the smartphone industry. Apple and Samsung are among the most popular manufacturers of commonly used smartphones and tablets. The conflict began when Apple decided to file a federal lawsuit in the US district court, accusing Samsung of copying some of its iPhone features in the Samsung Galaxy S II smartphone. The court ascertained that the gadget had similar characteristics to Apple, thus ordering Samsung to pay Apple for the damages. In response, Samsung reacted by filing countersuits. The two firms, almost fifty cases in different nations and regions. The issues lasted for seven years, starting from 2011 and ending in 2016, in which both companies benefited and lost at the same time. The conflict emanated because of each firm pursuing its competitive advantage in the market. Apart from following market shares, third parties, like consumers, instigated the conflict, with international politics and the media playing a role.

DOI 10.36096/brss.v3i3.2063 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

External funding and emergent technology inputs

Edward Levitas · M. Ann McFadyen

International Journal of Research in Business and Social Science · 2020

Read abstract

The research and development (R&D) process is critical to a firm’s competitive advantage and often requires external funding.  Yet, we know little about how different types of investors respond to the cash needs of established R&D intensive firms nor about how external financial analysts influence those decisions.  We address these gaps by examining how a firm’s patenting activity affects its ability to raise cash.  We distinguish the motivations of two investor groups: open-market and alliance partners.  We focus on how patents based on emergent technologies impact two types of investors and their willingness to fund the R&D process.  We develop theory and test our hypotheses using data from publicly traded biopharmaceutical firms by drawing upon knowledge-based view, alliance, and investment theories.  We find evidence that patents built upon emergent technologies are viewed differently by the two types of investors.  We find open market investors were less likely to invest in emergent technologies and invested less when they did.  Conversely, alliance partner investors would be more appreciative of the opportunities new technology inputs present, thus, more likely to invest in firms using emergent technologies and invest more. 

DOI 10.20525/ijrbs.v9i5.8330 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Patent Data Visualization

Ulas Akkucuk · Mehmet Nafi Artemel

International Journal of Research in Business and Social Science · 2016

Read abstract

The importance given by the governments to building a sound intellectual property infrastructure is increasing in developing countries and especially in Central Asian countries. This infrastructure is continuously improved to live up to a common standard in collaboration with government agencies, educational institutions and international agencies. In this paper, the infrastructure developments that took place in the Central Asian countries is going to be elaborated and furthermore some statistical analyses will be used in order to compare the differences and similarities between the Central Asian republics within themselves and the rest of the world. Patent based statistical data reveal a broad range of information concerning the innovative capability of countries, regions and firms. The number of patents that a country obtains in different technological fields and the change in this number over the years may provide useful information regarding the growth potential of the country and the ability to follow technological advances. For this purpose, patent statistics collected by institutions like World Intellectual Property Organization (WIPO) have been analyzed using statistical techniques. In addition to basic statistics, multidimensional scaling analysis (MDS) has been applied to the data sets.

DOI 10.20525/ijrbs.v5i3.3580 Crossref citations4 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
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