Csaba Kucsera

479 total citations
12 papers, 316 citations indexed

About

Csaba Kucsera is a scholar working on Finance, Management of Technology and Innovation and Sociology and Political Science. According to data from OpenAlex, Csaba Kucsera has authored 12 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Finance, 5 papers in Management of Technology and Innovation and 3 papers in Sociology and Political Science. Recurrent topics in Csaba Kucsera's work include Innovative Approaches in Technology and Social Development (5 papers), Corporate Finance and Governance (3 papers) and Community Development and Social Impact (3 papers). Csaba Kucsera is often cited by papers focused on Innovative Approaches in Technology and Social Development (5 papers), Corporate Finance and Governance (3 papers) and Community Development and Social Impact (3 papers). Csaba Kucsera collaborates with scholars based in Hungary, Austria and Spain. Csaba Kucsera's co-authors include Álmos Telegdy, John S. Earle, Andrew Sixsmith, Judith Sixsmith, Synneve Dahlin‐Ivanoff, Signe Tomsone, Agneta Malmgren Fänge, Maria Haak, Ryan Woolrych and Gianluca Misuraca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and Corporate Governance An International Review.

In The Last Decade

Csaba Kucsera

9 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Csaba Kucsera Hungary 4 122 83 74 64 45 12 316
Robert Palacios United States 10 105 0.9× 87 1.0× 130 1.8× 32 0.5× 37 0.8× 24 296
Rafael Rofman Argentina 12 130 1.1× 130 1.6× 124 1.7× 17 0.3× 62 1.4× 39 318
Giang Thanh Long Vietnam 8 26 0.2× 67 0.8× 75 1.0× 85 1.3× 55 1.2× 17 258
Emmanuel O. Nwosu Nigeria 11 70 0.6× 12 0.1× 46 0.6× 30 0.5× 43 1.0× 41 366
Francesca Zantomio Italy 8 31 0.3× 65 0.8× 144 1.9× 46 0.7× 38 0.8× 27 264
Benedict Koh Singapore 9 177 1.5× 90 1.1× 77 1.0× 24 0.4× 32 0.7× 25 267
Silja Göhlmann Germany 7 21 0.2× 19 0.2× 55 0.7× 66 1.0× 40 0.9× 14 349
Kerwin Charles United States 4 61 0.5× 52 0.6× 88 1.2× 27 0.4× 34 0.8× 7 312
Daifeng He United States 11 71 0.6× 86 1.0× 194 2.6× 21 0.3× 26 0.6× 22 340
Concepció Patxot Spain 13 103 0.8× 196 2.4× 302 4.1× 57 0.9× 37 0.8× 36 553

Countries citing papers authored by Csaba Kucsera

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Kucsera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Kucsera

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

All Works

12 of 12 papers shown
1.
Kucsera, Csaba, et al.. (2022). Alzheimer Cafék online tevékenysége a koronavírus járvány kitörése előtti és utáni fél évben II.. SHILAP Revista de lepidopterología. 10(4). 42–64.
2.
Kucsera, Csaba, et al.. (2022). Alzheimer Cafék online tevékenysége a koronavírus járvány kitörése előtti és utáni fél évben I.. SHILAP Revista de lepidopterología. 10(4). 19–41. 1 indexed citations
5.
Misuraca, Gianluca, et al.. (2016). ICT-enabled Social Innovations in Social Services: Mapping the Evidence. Joint Research Centre (European Commission). 105–114.
6.
Kucsera, Csaba & Gianluca Misuraca. (2016). ICT-enabled social innovation for integrated health- and social care of older people: mapping and analysis. International Journal of Integrated Care. 16(6). 60–60. 1 indexed citations
7.
Sixsmith, Judith, Andrew Sixsmith, Agneta Malmgren Fänge, et al.. (2014). Healthy ageing and home: The perspectives of very old people in five European countries. Social Science & Medicine. 106. 1–9. 172 indexed citations
8.
Széman, Zsuzsa & Csaba Kucsera. (2011). HAPPY AGEING. 1–4.
9.
Earle, John S., Csaba Kucsera, & Álmos Telegdy. (2005). Ownership Concentration and Corporate Performance on the Budapest Stock Exchange: do too many cooks spoil the goulash?. Corporate Governance An International Review. 13(2). 254–264. 105 indexed citations
10.
Sixsmith, Judith, et al.. (2004). Enabling and exclusionary factors in social participation in very old age – Qualitative findings form five EU countries.. Lund University Publications (Lund University). 1 indexed citations
11.
Earle, John S., Csaba Kucsera, & Álmos Telegdy. (2003). Ownership Concentration and Corporate Performance on the Budapest Stock Exchange: Do too Many Cooks Spoil the Goulash?. SSRN Electronic Journal. 22 indexed citations
12.
Telegdy, Álmos, et al.. (2002). Corporate Control: A Study of Firms on the Bucharest Stock Exchange. Eastern European Economics. 40(3). 6–27. 10 indexed citations

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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