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: 11 / 11 publications (100.0%). 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: 22 Oct 2026 01:27 UTC — 22 Oct 2026 03:53 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.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 29 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| 2018 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 75 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 15 | 3 | 3/3 | 3/3 |
| 2018 | All selected publications | 18 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 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 11 / 11 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): 2026-10-22T01:27:43.667232+00:00 — 2026-10-22T03:53:20.428726+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 | 4 | 11 | 11/11 |
| 2018 | All selected publications | 13 | 11 | 11/11 |
| 2019 | All selected publications | 9 | 11 | 11/11 |
| 2020 | All selected publications | 11 | 11 | 11/11 |
| 2021 | All selected publications | 13 | 11 | 11/11 |
| 2022 | All selected publications | 12 | 11 | 11/11 |
| 2023 | All selected publications | 8 | 11 | 11/11 |
| 2024 | All selected publications | 15 | 11 | 11/11 |
| 2025 | All selected publications | 9 | 11 | 11/11 |
| 2026 | All selected publications | 5 | 11 | 11/11 |
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 |
|---|---|
| 2013 | 2 |
| 2014 | 1 |
| 2015 | 1 |
| 2016 | 1 |
| 2017 | 3 |
| 2018 | 1 |
| 2020 | 1 |
| 2022 | 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 4 | 7 | 1/1 | 4.0 | 4 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 9 | 46 | 112 | 9/9 | 5.11 | 3 | 77.8 | 9/9 · 100.0% |
* Percentage among publications with a known citation count.
The relationship between leader and followers plays a vital role, particularly in educational institutions where a keen understanding of human character and high level of social interaction ought to be facilitated. For this reason, in stark contrast to contemporary leaders who see people only as units of production or expendable resources in a profit and loss statement, servant leadership focuses on meeting the needs of followers, making them reach their maximum potential and so perform optimally in order to achieve organizational goals and objectives. This study examines the effects of servant leadership behaviors of private college principals on teachers’ organizational citizenship behavior and job performance. Using 300 respondents from the private education institutes in Turkey, servant leadership behavior is examined for its indirect effects on organizational citizenship behavior and job performance by its impact on organizational justice. Organizational justice acts as a mediator between the variables in question. All the results are in support of the studied mediation effects. Implications of the findings and suggestions for future research are discussed.
he aims of the study at using AHP (Analytic Hierarchy Process) are two-fold. First, the study aims to determine the relative importance or weight of multiple criteria and its attributes in the decision problem of location selection. The second aim of the study is to identify a location with the highest potential among alternatives for retailers by using a series of criteria and attributes determined. By the means of the AHP method, decision makers put weighted values to the evaluation criteria with respect to the related goal and the attributes with respect to the corresponding criteria. In addition, the priority weight for every location alternative on each criterion and attribute is estimated. The AHP process involves hierarchically structuring decision problem, setting priority weights, establishing a judgment matrix and weight vector, and then ranking the order of location alternatives. To substantiate the feasibility of this standard approach, a case study is conducted with location selection for a clothing store in this study.
In recent years, with consumers’ widespread preference for shopping in Private Shopping Clubs (PSCs) on the internet, there has been a remarkable increase in impulse purchases with the attractive opportunities and smart strategies of PSCs stimulating consumers’ impulse buying behavior. Within the PSC framework, the purpose of this article is to investigate the moderator effect of brand awareness and brand loyalty on the relationship between online impulse buying behavior and perceived low price, browsing behavior and time pressure. The study created and tested five hypotheses using data collected in Turkey. Results indicate that browsing behavior, time pressure and perceived low price do influence online impulse buying behavior. A hierarchical regression analysis was also used to analyze the moderating role of brand awareness and brand loyalty on impulse buying behavior and both variables were found to have a moderating role. The results provide substantial information on strategy development for internet retailers.
<em>Dünyada sağlığın geliştirilmesi ve sağlık bilincinin oluşturulması için birey temelli uygulamalara odaklanılmış ve bu kapsamda sağlık okuryazarlığı (SO) kavramı gündeme gelmeye başlamıştır. SO, bireylere kendi sağlık kararları ile ilgili doğru tercihlerde bulunma yetisinin kazandırılması yanında tıbbi bilgileri doğru anlama, yorumlama ve sağlığı ile ilgili uygun kararları verecek davranışlar geliştirmesinin sağlanmasını ifade etmektedir. Bireylerin demografik özellikleri, genetik faktörler, beslenme alışkanlıkları, hastalıkları yönetme şekli, sosyoekonomik özellikleri gibi pek çok faktör ile ilişkilendirilebilen sağlık okuryazarlığı düzeyinin yetersizliği elde edilen bulgulara göre sağlık hizmetlerine tahsis edilen kaynakların aşırı ya da gerektiği gibi kullanılmamasına neden olmaktadır.Bu çalışma ile yetersiz SO’nın sağlık harcamalarına olan etkilerinin analiz edilmesi ve Türkiye (TR)’nin sağlık harcamaları içerisinde yetersiz SO’dan kaynaklanan mali yükün tespit edilmesi amaçlanmaktadır. Bu amaçla Vernon ve Diğerlerinin (2007), Friedland (2002)’nin varsayımlarını kullanarak geliştirdiği maliyet tahmin modeli ile Sağlık ve Sosyal Hizmet Çalışanları Sendikası tarafından 2014 yılında yayınlanan “Türkiye Sağlık Okuryazarlığı Araştırması”nın verileri kullanılarak TR için yetersiz SO’nın tahmini maliyetleri hesaplanmıştır.</em>
Rapid urbanization and the advances in Information and Communication Technology have changed the definition of "city" all over the world. In the beginning, the concept emerged as Digital Cities and gradually changed to Smart Cities bringing criteria along. It is inevitable that, in future the concept will change and develop new criteria. There are many components in the smart city, with the knowledge of the idea of "information and communication technologies", which is the focus of smart cities and the cities of the future. The ability to define cities as smart is possible through the development of balanced applications around these applications. In this study, the Istanbul city will be evaluated in the context of smart city studies while it is presented with components of smart city concept.
The rapid growth in civil aviation operations in recent years has raised expectations from flight attendants. Their duties have been intensified, and flight attendants have become subject to physical and mental fatigue due to irregular sleep, inadequate rest time, and long working hours. This study investigates the causes and effects of fatigue among flight attendants of a Turkish airline company through a self-administrated questionnaire. The survey is run online by 152 flight attendants. The results show that flight attendants have trouble falling asleep before flight duty. Before night flights and during layovers, the sleep duration is dramatically low. The results also reveal that factors related to scheduling, i.e., long duty days, night flights, and consecutive working days, play an essential role in fatigue. Thus, airline companies should revise their scheduling practices. In balancing work and social life, men struggle more than women, and married flight attendants have more difficulty than single ones. The findings provide valuable insights for airline companies and policymakers to seriously manage fatigue-related factors to ensure the safety of aviation operations and the well-being of flight attendants.
The purpose of this paper is to compare three contemporary accident causation models, namely the Swiss Cheese, HFACS, and Fu (2018) Model-based on two accidents existing in the literature. The accidents reviewed are a mine explosion accident and an electrical plant accident. In this way, the validity of the models can be evaluated and weaknesses and strengths revealed. This study discussed the advantages and possible limitations of these models, and according to this discussion, all these models include human and organizational factors and have been found scientific and systematic. According to the results, Fu (2018) and HFACS are more modern, since they were developed based on Swiss Cheese. The product of this research will be a recommendation for safety investigators and accident inspectors which way to turn when choosing the most applicable accident analysis method
In recent years, with consumers’ widespread preference for shopping in Private Shopping Clubs (PSCs) on the internet, there has been a remarkable increase in impulse purchases with the attractive opportunities and smart strategies of PSCs stimulating consumers’ impulse buying behavior. Within the PSC framework, the purpose of this article is to investigate the moderator effect of brand awareness and brand loyalty on the relationship between online impulse buying behavior and perceived low price, browsing behavior and time pressure. The study created and tested five hypotheses using data collected in Turkey. Results indicate that browsing behavior, time pressure and perceived low price do influence online impulse buying behavior. A hierarchical regression analysis was also used to analyze the moderating role of brand awareness and brand loyalty on impulse buying behavior and both variables were found to have a moderating role. The results provide substantial information on strategy development for internet retailers.
<em>Dünyada sağlığın geliştirilmesi ve sağlık bilincinin oluşturulması için birey temelli uygulamalara odaklanılmış ve bu kapsamda sağlık okuryazarlığı (SO) kavramı gündeme gelmeye başlamıştır. SO, bireylere kendi sağlık kararları ile ilgili doğru tercihlerde bulunma yetisinin kazandırılması yanında tıbbi bilgileri doğru anlama, yorumlama ve sağlığı ile ilgili uygun kararları verecek davranışlar geliştirmesinin sağlanmasını ifade etmektedir. Bireylerin demografik özellikleri, genetik faktörler, beslenme alışkanlıkları, hastalıkları yönetme şekli, sosyoekonomik özellikleri gibi pek çok faktör ile ilişkilendirilebilen sağlık okuryazarlığı düzeyinin yetersizliği elde edilen bulgulara göre sağlık hizmetlerine tahsis edilen kaynakların aşırı ya da gerektiği gibi kullanılmamasına neden olmaktadır.Bu çalışma ile yetersiz SO’nın sağlık harcamalarına olan etkilerinin analiz edilmesi ve Türkiye (TR)’nin sağlık harcamaları içerisinde yetersiz SO’dan kaynaklanan mali yükün tespit edilmesi amaçlanmaktadır. Bu amaçla Vernon ve Diğerlerinin (2007), Friedland (2002)’nin varsayımlarını kullanarak geliştirdiği maliyet tahmin modeli ile Sağlık ve Sosyal Hizmet Çalışanları Sendikası tarafından 2014 yılında yayınlanan “Türkiye Sağlık Okuryazarlığı Araştırması”nın verileri kullanılarak TR için yetersiz SO’nın tahmini maliyetleri hesaplanmıştır.</em>
Supply Chain Management (SCM) includes management of materials, products, services, information and financial flows which network of consisting suppliers, manufacturers, logistics service companies, and clients. The individual elements of this chain with coordination and integration of each element to perform themselves ensure successful of SCM. Information technology has a very important role in activities for coordination and integration of supply chain. Acceleration of sharing information, simplification and increasing of reliability provide effective use of time in logistics companies, cost savings like effective management ways. In this prepared study which taking into account the positive impact on supply chain of information technologies, it was investigated on the effectiveness of sharing information of supply chain by examining infrastructure of the information technology, ranging from the production of raw materials to the end user in SCM. The results of the analyses by using the structural equation model indicate that the use of information technology in supply chain management enhances the relationship between buyer-supplier; the enhancement of such relationship improves the quality, safety, and flexibility of products and reduces the cost of products; as a result, it increases firm performance.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |