Christina Beneki

34 total papers · 915 total citations
27 papers, 596 citations indexed

About

Christina Beneki is a scholar working on Economics and Econometrics, Strategy and Management and Finance. According to data from OpenAlex, Christina Beneki has authored 27 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 5 papers in Strategy and Management and 5 papers in Finance. Recurrent topics in Christina Beneki's work include Statistical and numerical algorithms (4 papers), Market Dynamics and Volatility (3 papers) and Monetary Policy and Economic Impact (3 papers). Christina Beneki is often cited by papers focused on Statistical and numerical algorithms (4 papers), Market Dynamics and Volatility (3 papers) and Monetary Policy and Economic Impact (3 papers). Christina Beneki collaborates with scholars based in Greece, Iran and United States. Christina Beneki's co-authors include Hossein Hassani, Stephan Unger, Mohammad Reza Yeganegi, Stephanos Papadamou, Νikolaos Kyriazis, Michail Tsagris, Bruno Eeckels, Emmanuel Sirimal Silva, Avraam Papastathopoulos and George Halkos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technological Forecasting and Social Change and Research in International Business and Finance.

In The Last Decade

Christina Beneki

26 papers receiving 566 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Christina Beneki	215	154	102	79	75	27	596
Loretta Mastroeni	249 1.2×	102 0.7×	39 0.4×	111 1.4×	63 0.8×	62	618
Weiyi Liu	219 1.0×	179 1.2×	57 0.6×	87 1.1×	188 2.5×	62	543
Frank Bezzina	138 0.6×	40 0.3×	82 0.8×	52 0.7×	41 0.5×	62	670
Haiyun Xu	157 0.7×	91 0.6×	115 1.1×	97 1.2×	15 0.2×	35	659
Desheng Wu	94 0.4×	134 0.9×	146 1.4×	215 2.7×	75 1.0×	48	693
Emanuela Raffinetti	132 0.6×	57 0.4×	217 2.1×	138 1.7×	86 1.1×	36	560
Christos Michalakelis	155 0.7×	94 0.6×	30 0.3×	283 3.6×	13 0.2×	61	673
Guowen Li	196 0.9×	84 0.5×	66 0.6×	180 2.3×	91 1.2×	19	497
Marijana Zekić–Sušac	80 0.4×	56 0.4×	190 1.9×	102 1.3×	57 0.8×	34	691
Jae Kwon Bae	177 0.8×	51 0.3×	118 1.2×	117 1.5×	41 0.5×	36	584

Countries citing papers authored by Christina Beneki

Since Specialization

Citations

This map shows the geographic impact of Christina Beneki'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 Christina Beneki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Beneki more than expected).

Fields of papers citing papers by Christina Beneki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina Beneki. 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 Christina Beneki. The network helps show where Christina Beneki may publish in the future.

Co-authorship network of co-authors of Christina Beneki

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Beneki. A scholar is included among the top collaborators of Christina Beneki 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 Christina Beneki. Christina Beneki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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