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 22 Oct 2026, 03:31 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS43/3 with known counts
OPENALEX CITATIONS113/3 with known counts
OPENALEX MEAN3.67Per article with a known count
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topic: Financial Markets and Investment Strategies 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

Poznań University of Economics and Business22/3 records with data

Countries

Poland22/3 records with data

Primary topics

Financial Markets and Investment Strategies33/3 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: 2026-10-22T03:31:07.340364+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.

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Display range
International Journal of Finance & Banking Studies

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 CITATIONS4
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS1.33

Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 CITATIONS11
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY3.673 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 22 Oct 2026 01:21 UTC — 22 Oct 2026 03:31 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

2 / 3 with data · 1 missing or unmatched. Percentages use all 3 selected publications.

Countries

2 / 3 with data · 1 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): 2026-10-22T01:21:33.560575+00:00 — 2026-10-22T03:31:07.340364+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 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: 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: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 0 · 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: 1 · 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 publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications033/3
2025All selected publications033/3
2026All selected publications133/3

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.

Mean1.33
Median1
No citations11–526–20021+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
International Journal of Finance & Banking Studies
SSBFNET
34113/31.33166.73/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Country Value Premiums and Financial Crises

Adam Zaremba

International Journal of Finance & Banking Studies · 2014

Read abstract

The paper concentrates on the value premium across countries and contributes to the investment and asset pricing literature in three ways. First, I provide fresh evidence that the high-value countries perform significantly better than the low-value countries. Additionally, this phenomenon is indifferent to the choice of the computational currency, representative index or value indicator. Second, I demonstrate that the value effect can be successfully amplified by combining with country-level size and momentum effects. Third, I show that returns to the high-value countries deteriorate in financial crisis conditions, because the country-level value premium is negatively correlated with the credit spreads, TED spread and expected volatility. I examine data from 66 markets between years 2000 and 2013.

DOI 10.20525/ijfbs.v3i1.1673 Crossref citations9 OpenAlex citations
JOURNAL ARTICLE

Operational Efficiency Dynamics of the Nigerian Stock Market (1986-2010)

Christopher Obot Udoka · Roland Anyingang

International Journal of Finance & Banking Studies · 2014

Read abstract

The study investigated the operational efficiency of the Nigerian stock market between 1986-2010. This was necessary given the degree of thinness of the market.  The objectives of the study were: to investigate the extent to which the operations of the market have contributed to the growth of the Nigerian economy and also to determine the functionality of the market. To achieve these objectives  data were gathered on some capital market indicators from the stock exchange factbook  of various years on market capitalization (MCAP), all share index (ASI) volume of transaction (VOLT) value of transaction (VALT) and number of listed companies (NLC) on the stock exchange.  The data were tabulated, analyzed and tested using the ordinary least square statistical technique. Findings resulting from the test of data showed that NLC, VOLT, VALT, ASI and MCAP were positive and that increase in any of the above parameters  would in turn cause an increase in the growth of the Nigerian economy at five and ten  percent levels of significance.  It further showed that  the market was operationally weak form efficient. It was therefore recommended that government should continue to provide better macro-economic environment for the private sector to lead the economy on the part of sustainable growth and development.

DOI 10.20525/ijfbs.v3i1.1781 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

A Performance Evaluation Model for Global Macro Funds

Adam Zaremba

International Journal of Finance & Banking Studies · 2014

Read abstract

The paper concentrates on value and size effects in country portfolios. It contributes to academic literature threefold. First, I provide fresh evidence that the value and size effects may be useful in explaining the cross-sectional variation in country returns. The computations are based on a broad sample of 66 countries in years 2000-2013. Second, I document that the country-level value and size effects are indifferent to currency conversions. Finally, I introduce an alternative macro-level Fama-French model, which, contrary to its prototype, employs country-based factors. I show that applying this modification makes the model more successful in evaluation of funds with global investment mandate than the standard CAPM and FF models.

DOI 10.20525/ijfbs.v3i1.1770 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

A Performance Evaluation Model for Global Macro Funds

Adam Zaremba

International Journal of Finance & Banking Studies · 2014

Read abstract

The paper concentrates on value and size effects in country portfolios. It contributes to academic literature threefold. First, I provide fresh evidence that the value and size effects may be useful in explaining the cross-sectional variation in country returns. The computations are based on a broad sample of 66 countries in years 2000-2013. Second, I document that the country-level value and size effects are indifferent to currency conversions. Finally, I introduce an alternative macro-level Fama-French model, which, contrary to its prototype, employs country-based factors. I show that applying this modification makes the model more successful in evaluation of funds with global investment mandate than the standard CAPM and FF models.

DOI 10.20525/ijfbs.v3i1.1770 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Operational Efficiency Dynamics of the Nigerian Stock Market (1986-2010)

Christopher Obot Udoka · Roland Anyingang

International Journal of Finance & Banking Studies · 2014

Read abstract

The study investigated the operational efficiency of the Nigerian stock market between 1986-2010. This was necessary given the degree of thinness of the market.  The objectives of the study were: to investigate the extent to which the operations of the market have contributed to the growth of the Nigerian economy and also to determine the functionality of the market. To achieve these objectives  data were gathered on some capital market indicators from the stock exchange factbook  of various years on market capitalization (MCAP), all share index (ASI) volume of transaction (VOLT) value of transaction (VALT) and number of listed companies (NLC) on the stock exchange.  The data were tabulated, analyzed and tested using the ordinary least square statistical technique. Findings resulting from the test of data showed that NLC, VOLT, VALT, ASI and MCAP were positive and that increase in any of the above parameters  would in turn cause an increase in the growth of the Nigerian economy at five and ten  percent levels of significance.  It further showed that  the market was operationally weak form efficient. It was therefore recommended that government should continue to provide better macro-economic environment for the private sector to lead the economy on the part of sustainable growth and development.

DOI 10.20525/ijfbs.v3i1.1781 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Country Value Premiums and Financial Crises

Adam Zaremba

International Journal of Finance & Banking Studies · 2014

Read abstract

The paper concentrates on the value premium across countries and contributes to the investment and asset pricing literature in three ways. First, I provide fresh evidence that the high-value countries perform significantly better than the low-value countries. Additionally, this phenomenon is indifferent to the choice of the computational currency, representative index or value indicator. Second, I demonstrate that the value effect can be successfully amplified by combining with country-level size and momentum effects. Third, I show that returns to the high-value countries deteriorate in financial crisis conditions, because the country-level value premium is negatively correlated with the credit spreads, TED spread and expected volatility. I examine data from 66 markets between years 2000 and 2013.

DOI 10.20525/ijfbs.v3i1.1673 Crossref citations9 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 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
ojs-rest21 Oct 2026 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:14 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 00:22 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
Full import history & methodology →