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% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 09:44 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS92/2 with known counts
OPENALEX CITATIONS122/2 with known counts
OPENALEX MEAN6.0Per article with a known count
Explore articles 2 →
Filter collection Publication years, search & more
Reset
country: Romania Remove ×topic: Robotic Process Automation Applications 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

Bucharest University of Economic Studies22/2 records with data

Countries

Romania22/2 records with data

Primary topics

Robotic Process Automation Applications22/2 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.

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: 2/2 articles. Latest history observation: 2026-10-22T09:44:07.238171+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 CITATIONS9
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS4.5

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 CITATIONS12
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY6.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY6.0

Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 09:44 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–506–20121+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

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): 2026-10-21T07:23:03.258818+00:00 — 2026-10-22T09:44:07.238171+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

63.00 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: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 0 · 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: 6 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 3 · 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 publications022/2
2022All selected publications022/2
2023All selected publications022/2
2024All selected publications322/2
2025All selected publications622/2
2026All selected publications322/2

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.

Mean4.5
Median4.5
No citations11–506–20121+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
29122/24.54.550.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

TOE framework elements used on Artificial Intelligence implementation in the accounting and audit sector

Mirela Mihai · Adriana Dutescu

International Journal of Research in Business and Social Science · 2024

Read abstract

The purpose of this article is to clarify the impact of technological, organisational, and environmental contexts in which Artificial Intelligence solutions are implemented by the accounting and audit companies in Europe. The organizational and environmental contexts were not enough studied in accounting and audit field but are becoming more and more important in the future. The applied methodology was based on a structured interview, to which it has answered 62 top financial specialists from 18 European countries, in companies with more than 10 years of experience in the accounting and audit sector. To design the structured interview, it was used the Technology-Organisation-Environment framework. A serious concern for the companies’ representatives consists in the lack of specialists capable to understand and work with Artificial Intelligence solutions. One option that is generally preferred by companies is to prepare their employees for these new tasks, rather than hiring qualified persons. There are two methods that can be used when implementing Artificial Intelligence, to buy specific provided solutions from third parties, or to developed them internally. Data storage and security, the complexity of Artificial Intelligence solutions and government regulations do not represent a threat to companies willing to develop this area. The main contribution of this study consists of an extensive analysis of the most important elements of Technology-Organisational-Environmental framework and their applicability for accounting and audit companies, which implemented or are willing to implement Artificial Intelligence solutions. 

DOI 10.20525/ijrbs.v13i4.33749 Crossref citations12 OpenAlex citations
JOURNAL ARTICLE

Future of accounting and auditing: Insights from Romania on artificial intelligence in financial reporting

Nermin Sharbek · Adriana Dutescu

International Journal of Research in Business and Social Science · 2025

Read abstract

This research highlights the perceptions of accountants and auditors in Romania, offering insights into how the use of Artificial Intelligence is impacting traditional financial reporting. This research addresses an important gap, respectively the lack of Artificial Intelligence in financial reporting in the Romanian context, as prior studies often focus on broader or economically advanced regions, such as more developed countries. The purpose of the study is to contribute to this emerging discussion, presented as a wide limitation of AI adoption in such a regulated sector. Insights were gathered through semi-structured interviews with pre-defined affirmations and open questions regarding the regulatory environment and how AI has been used to enhance financial reporting quality and accuracy but also how the regulatory environment limits the scope of AI. Additionally, a subset of international-level participants was interviewed for comparative purposes, enabling cross-border insights. Findings were further contextualized through the review of relevant literature to validate the comparative results by aligning them with perspectives with global trends. The key findings suggested companies often incorporate AI into their global strategies but fail to provide adequate training or support. Respondents also transparently communicated the lack of knowledge surrounding the subject given its benefits in the domain and lack of practical implications. Additionally, there is a clear need for a regulatory framework when applying AI in professions such as accounting.

DOI 10.20525/ijrbs.v14i7.43150 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Future of accounting and auditing: Insights from Romania on artificial intelligence in financial reporting

Nermin Sharbek · Adriana Dutescu

International Journal of Research in Business and Social Science · 2025

Read abstract

This research highlights the perceptions of accountants and auditors in Romania, offering insights into how the use of Artificial Intelligence is impacting traditional financial reporting. This research addresses an important gap, respectively the lack of Artificial Intelligence in financial reporting in the Romanian context, as prior studies often focus on broader or economically advanced regions, such as more developed countries. The purpose of the study is to contribute to this emerging discussion, presented as a wide limitation of AI adoption in such a regulated sector. Insights were gathered through semi-structured interviews with pre-defined affirmations and open questions regarding the regulatory environment and how AI has been used to enhance financial reporting quality and accuracy but also how the regulatory environment limits the scope of AI. Additionally, a subset of international-level participants was interviewed for comparative purposes, enabling cross-border insights. Findings were further contextualized through the review of relevant literature to validate the comparative results by aligning them with perspectives with global trends. The key findings suggested companies often incorporate AI into their global strategies but fail to provide adequate training or support. Respondents also transparently communicated the lack of knowledge surrounding the subject given its benefits in the domain and lack of practical implications. Additionally, there is a clear need for a regulatory framework when applying AI in professions such as accounting.

DOI 10.20525/ijrbs.v14i7.43150 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

TOE framework elements used on Artificial Intelligence implementation in the accounting and audit sector

Mirela Mihai · Adriana Dutescu

International Journal of Research in Business and Social Science · 2024

Read abstract

The purpose of this article is to clarify the impact of technological, organisational, and environmental contexts in which Artificial Intelligence solutions are implemented by the accounting and audit companies in Europe. The organizational and environmental contexts were not enough studied in accounting and audit field but are becoming more and more important in the future. The applied methodology was based on a structured interview, to which it has answered 62 top financial specialists from 18 European countries, in companies with more than 10 years of experience in the accounting and audit sector. To design the structured interview, it was used the Technology-Organisation-Environment framework. A serious concern for the companies’ representatives consists in the lack of specialists capable to understand and work with Artificial Intelligence solutions. One option that is generally preferred by companies is to prepare their employees for these new tasks, rather than hiring qualified persons. There are two methods that can be used when implementing Artificial Intelligence, to buy specific provided solutions from third parties, or to developed them internally. Data storage and security, the complexity of Artificial Intelligence solutions and government regulations do not represent a threat to companies willing to develop this area. The main contribution of this study consists of an extensive analysis of the most important elements of Technology-Organisational-Environmental framework and their applicability for accounting and audit companies, which implemented or are willing to implement Artificial Intelligence solutions. 

DOI 10.20525/ijrbs.v13i4.33749 Crossref citations12 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 →