Serpil Çanbaş

409 total citations
11 papers, 308 citations indexed

About

Serpil Çanbaş is a scholar working on Finance, Management Science and Operations Research and Accounting. According to data from OpenAlex, Serpil Çanbaş has authored 11 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Finance, 5 papers in Management Science and Operations Research and 5 papers in Accounting. Recurrent topics in Serpil Çanbaş's work include Financial Markets and Investment Strategies (5 papers), Stock Market Forecasting Methods (5 papers) and Corporate Finance and Governance (3 papers). Serpil Çanbaş is often cited by papers focused on Financial Markets and Investment Strategies (5 papers), Stock Market Forecasting Methods (5 papers) and Corporate Finance and Governance (3 papers). Serpil Çanbaş collaborates with scholars based in Türkiye. Serpil Çanbaş's co-authors include Süleyman KILIÇ, Serkan Yılmaz Kandir and Ömer İskenderoğlu and has published in prestigious journals such as European Journal of Operational Research, Emerging Markets Finance and Trade and International Journal of Theoretical and Applied Finance.

In The Last Decade

Serpil Çanbaş

6 papers receiving 273 citations

Peers

Serpil Çanbaş
Comparison fields: 5 of 39
  • Accounting 196
  • Finance 174
  • Artificial Intelligence 92
  • Economics and Econometrics 91
  • Management Science and Operations Research 90
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Citations per field, relative to Serpil Çanbaş
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Citations per year, relative to Serpil Çanbaş
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Countries citing papers authored by Serpil Çanbaş

Since Specialization
Citations

This map shows the geographic impact of Serpil Çanbaş's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Serpil Çanbaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serpil Çanbaş more than expected).

Fields of papers citing papers by Serpil Çanbaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serpil Çanbaş. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Serpil Çanbaş. The network helps show where Serpil Çanbaş may publish in the future.

Co-authorship network of co-authors of Serpil Çanbaş

This figure shows the co-authorship network connecting the top 25 collaborators of Serpil Çanbaş. A scholar is included among the top collaborators of Serpil Çanbaş based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Serpil Çanbaş. Serpil Çanbaş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1
Factors Affecting the Cross Section of Common Stock Returns An Applied Analysis at ISE
0
2 65
3
Testing the Three Factor Model of Fama and French: Evidence from Turkey
4
4
İMKB Şirketlerinde Büyüklük ve Defter Değeri/Piyasa Değeri Oranının Hisse Senedi Getirilerine Etkisinin Analizi
1
5
YATIRIMCI DUYARLILIĞININ İMKB SEKTÖR GETİRİLERİ ÜZERİNDEKİ ETKİSİ
6
6
Hisse Senedi Getirilerinde Yatırımcı Psikolojisinin Etkisinin Yatırım Ortaklıkları İskontosu İle İncelenmesi
1
7 1
8
Performans Ölçümünde Tobin Q Oranının Kullanılması: Hisse Senetleri İMKB'de İşlem Gören Sanayi İşletmeleri Üzerinde Bir Deneme
1
9 225
10 3
11
Fundamental and Macroeconomic Information for Common Stock Valuation: The Turkish Case
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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