Citations per year, relative to Pedro Tedde de Lorca Pedro Tedde de Lorca (= 1×)
peers
Adeel Nasir
Countries citing papers authored by Pedro Tedde de Lorca
Since
Specialization
Citations
This map shows the geographic impact of Pedro Tedde de Lorca'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 Pedro Tedde de Lorca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Tedde de Lorca more than expected).
Fields of papers citing papers by Pedro Tedde de Lorca
This network shows the impact of papers produced by Pedro Tedde de Lorca. 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 Pedro Tedde de Lorca. The network helps show where Pedro Tedde de Lorca may publish in the future.
Co-authorship network of co-authors of Pedro Tedde de Lorca
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Tedde de Lorca.
A scholar is included among the top collaborators of Pedro Tedde de Lorca 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 Pedro Tedde de Lorca. Pedro Tedde de Lorca is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Suárez, Javier de Andrés & Pedro Tedde de Lorca. (2021). On the impact of smart contracts on auditing. Repositorio Institucional de la Universidad de Huelva (Universidad de Huelva). 155–181.9 indexed citations
Suárez, Javier de Andrés, Fernando Sánchez Lasheras, Pedro Tedde de Lorca, & Francisco Javier de Cos Juez. (2011). A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy. Journal of Accounting and Management Information Systems. 10(3). 351–374.22 indexed citations
6.
Lorca, Pedro Tedde de, Javier de Andrés Suárez, Jorge Díez, Juan José del Coz, & A. Bahamonde. (2007). El análisis de preferencias: un nuevo enfoque para el estudio de la rentabilidad empresarial. Investigación Económica. 31(2). 221–264.
Suárez, Javier de Andrés, Pedro Tedde de Lorca, & A. Bahamonde. (2004). The Use of Machine Learning Algorithms for the Study of Business Profitability: A New Approach Based on Preferences. 4(8). 99–124.2 indexed citations
Suárez, Javier de Andrés, Pedro Tedde de Lorca, & Elías F. Combarro. (2002). The sensitivity of machine learning techniques to variations in sample size : a comparative analysis. 2(4). 131–155.4 indexed citations
12.
Lorca, Pedro Tedde de. (2001). El Banco de Málaga (1856-1874).. 43–50.
13.
Lorca, Pedro Tedde de. (1996). De la primera a la segunda Restauración: El sector público y la modernización de la economía española (1875-1975). Ayer. 15–50.3 indexed citations
Lorca, Pedro Tedde de. (1985). El sector financiero y el fracaso de la revolución industrial: 1814-1913. Información Comercial Española, ICE: Revista de economía. 39–46.1 indexed citations
16.
Lorca, Pedro Tedde de. (1984). Banca privada y crecimiento económico en España, 1874-1913. Papeles de economía española. 169–184.2 indexed citations
Lorca, Pedro Tedde de. (1981). El gasto público en España (1875-1906): Un análisis comparativo con las economías europeas. Revista Hacienda Pública Española. 237–265.9 indexed citations
19.
Lorca, Pedro Tedde de. (1978). El proceso de formación de la Compañía de los Ferrocarriles Andaluces: (1874-1880). Revista Hacienda Pública Española. 367–397.3 indexed citations
20.
Lorca, Pedro Tedde de, et al.. (1976). La deuda pública y el Banco de España. Revista Hacienda Pública Española. 35–50.1 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.