Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 3 / 4 publications (75.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 16:15 UTC — 22 Oct 2026 04:57 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 0/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | — | 1 | 0/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 0/1 | 1/1 |
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 4 / 4 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): 2026-10-21T16:15:22.672862+00:00 — 2026-10-22T04:57:22.586231+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 1 | 4 | 4/4 |
| 2024 | All selected publications | 0 | 4 | 4/4 |
| 2025 | All selected publications | 3 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2016 | 1 |
| 2020 | 2 |
| 2026 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | — | 0 | 1/1 | — | — | — | 0/1 · 0.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 4 | 4 | 2/2 | 2.0 | 2.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This empirical paper examines how institutional strengths or weaknesses of emerging markets might affect investment inflows into these countries. The study includes data of 13 emerging economies from different regions. The countries included are Argentina, Brazil, Chile, China, Indonesia, India, South Korea, Mexico, Malaysia, Nigeria, Poland, Russia, and Turkey for the time period 2000-2018. The institutional variables; property rights, good governance, corruption, rule of law, and civil liberties are examined to understand if there is a deviation from the existing literature for the emerging countries. Secondly, we also investigated differences among the emerging countries and asked if non-BRIC countries are different in results. A panel data model has been performed for the analysis. Our findings prove that some institutions such as corruption, civil liberties, property rights, and good governance are significantly important to attract FDI into the emerging markets, as indicated in the literature for the developed countries, but not as strong as assumed. Secondly, other institutional constructs such as rule of law and political stability found to be insignificant in emerging markets. Finally, we found a similar result even when we analyzed emerging markets without BRIC countries.
<p>The opportunities of investment brought along by the global economic integrity might turn into a threat in an instant and undermine the underlying structures of national economies. It is necessary to analyze the conflict risk properly in terms of both portfolio investment and finance strategies. This is an important step to be included in the process of arriving to a rational decision. In that way, the existing investment risks could be priced more efficiently. It is proved on Collier and Starr models that there is a correlation between the conflict risk and unemployment, economic recession, inflation and fiscal discipline. In brief, the breakdown in the economic parameters increases the conflict risk and a progress occurring in the opposite way, decreases that risk. In this study, it is discussed the effects of the conflict risk for foreign investment availabilities.</p>
Multinational companies (MNCs) show an apparent tendency toward research and development (R&D) for the last three decades. Many kinds of research have recently focused on R&D in emerging countries (ECs) to reveal the differences from R&D in developed countries. This paper presents a literature review consisting of 23 articles from 2004-2019 on R&D in emerging markets. By conducting content analysis, it has been analyzed their prominent concepts and results. According to the research focus, the articles examined have been classified into five main groups – internationalization of R&D, R&D activities, R&D investments, technology-based R&D, R&D offshoring – along with articles that cannot be grouped. The main purpose of this study is to determine the current tendency of R&D in emerging markets. Thus, it provides to understand in which position R&D has in emerging markets, and under which circumstances it is successful. Furthermore, practitioners can benefit from the results of the presented study. The systematic evaluation of the findings contributes to the formation of a general view for future research.
The current developments of geopolitical rivalry, pandemic disruptions, and techno-nationalism have led to a fundamental reconfiguration of the global economic order, creating strategic imperatives for the multinational enterprises (MNEs) that go beyond the traditional internationalization theory. This paper aims to contribute to the literature with a systematic review of the adaptation process of MNEs in the time of geopolitical fragmentation and deglobalization. We used PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to screen 200 initial records from Web of Science, Scopus, ScienceDirect, and JSTOR databases, resulting in 47 peer-reviewed articles, mostly published in the last eight years (2018–2026), and a few seminal articles from the past 30 years of international business studies. The analysis of our themes indicates that there are six main strategic response clusters: (1) reconfiguration of the supply chain, including reshoring, nearshoring, and friend-shoring; (2) geopolitical risk management via real options and diversification; (3) a renewed focus on regionalization over global integration; (4) digitalization as a strategic buffer; (5) nonmarket strategies, such as political adaptation and lobbying; and (6) de-internationalization, including staged divestment. We combine these themes into an integrative conceptual framework by integrating the EDGES themes (Economic Systems, Digital Disruptions, Geopolitical Fracture, Environmental Sustainability, and Socio-Cultural Ideology) with firm-level dynamic capability responses and performance outcomes. We find certain gaps that are of critical importance: lack of micro-level empirical evidence, lack of MNE perspectives from the emerging markets, and limited integration of artificial intelligence and geopolitics. The review contributes to the international business theory and provides practical guidelines for the management of MNEs in an increasingly fragmented world economy.
The current developments of geopolitical rivalry, pandemic disruptions, and techno-nationalism have led to a fundamental reconfiguration of the global economic order, creating strategic imperatives for the multinational enterprises (MNEs) that go beyond the traditional internationalization theory. This paper aims to contribute to the literature with a systematic review of the adaptation process of MNEs in the time of geopolitical fragmentation and deglobalization. We used PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to screen 200 initial records from Web of Science, Scopus, ScienceDirect, and JSTOR databases, resulting in 47 peer-reviewed articles, mostly published in the last eight years (2018–2026), and a few seminal articles from the past 30 years of international business studies. The analysis of our themes indicates that there are six main strategic response clusters: (1) reconfiguration of the supply chain, including reshoring, nearshoring, and friend-shoring; (2) geopolitical risk management via real options and diversification; (3) a renewed focus on regionalization over global integration; (4) digitalization as a strategic buffer; (5) nonmarket strategies, such as political adaptation and lobbying; and (6) de-internationalization, including staged divestment. We combine these themes into an integrative conceptual framework by integrating the EDGES themes (Economic Systems, Digital Disruptions, Geopolitical Fracture, Environmental Sustainability, and Socio-Cultural Ideology) with firm-level dynamic capability responses and performance outcomes. We find certain gaps that are of critical importance: lack of micro-level empirical evidence, lack of MNE perspectives from the emerging markets, and limited integration of artificial intelligence and geopolitics. The review contributes to the international business theory and provides practical guidelines for the management of MNEs in an increasingly fragmented world economy.
This empirical paper examines how institutional strengths or weaknesses of emerging markets might affect investment inflows into these countries. The study includes data of 13 emerging economies from different regions. The countries included are Argentina, Brazil, Chile, China, Indonesia, India, South Korea, Mexico, Malaysia, Nigeria, Poland, Russia, and Turkey for the time period 2000-2018. The institutional variables; property rights, good governance, corruption, rule of law, and civil liberties are examined to understand if there is a deviation from the existing literature for the emerging countries. Secondly, we also investigated differences among the emerging countries and asked if non-BRIC countries are different in results. A panel data model has been performed for the analysis. Our findings prove that some institutions such as corruption, civil liberties, property rights, and good governance are significantly important to attract FDI into the emerging markets, as indicated in the literature for the developed countries, but not as strong as assumed. Secondly, other institutional constructs such as rule of law and political stability found to be insignificant in emerging markets. Finally, we found a similar result even when we analyzed emerging markets without BRIC countries.
Multinational companies (MNCs) show an apparent tendency toward research and development (R&D) for the last three decades. Many kinds of research have recently focused on R&D in emerging countries (ECs) to reveal the differences from R&D in developed countries. This paper presents a literature review consisting of 23 articles from 2004-2019 on R&D in emerging markets. By conducting content analysis, it has been analyzed their prominent concepts and results. According to the research focus, the articles examined have been classified into five main groups – internationalization of R&D, R&D activities, R&D investments, technology-based R&D, R&D offshoring – along with articles that cannot be grouped. The main purpose of this study is to determine the current tendency of R&D in emerging markets. Thus, it provides to understand in which position R&D has in emerging markets, and under which circumstances it is successful. Furthermore, practitioners can benefit from the results of the presented study. The systematic evaluation of the findings contributes to the formation of a general view for future research.
<p>The opportunities of investment brought along by the global economic integrity might turn into a threat in an instant and undermine the underlying structures of national economies. It is necessary to analyze the conflict risk properly in terms of both portfolio investment and finance strategies. This is an important step to be included in the process of arriving to a rational decision. In that way, the existing investment risks could be priced more efficiently. It is proved on Collier and Starr models that there is a correlation between the conflict risk and unemployment, economic recession, inflation and fiscal discipline. In brief, the breakdown in the economic parameters increases the conflict risk and a progress occurring in the opposite way, decreases that risk. In this study, it is discussed the effects of the conflict risk for foreign investment availabilities.</p>
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |