Loretta Mastroeni

103 total papers · 896 total citations
62 papers, 618 citations indexed

About

Loretta Mastroeni is a scholar working on Economics and Econometrics, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Loretta Mastroeni has authored 62 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 15 papers in Management Science and Operations Research and 14 papers in Computer Networks and Communications. Recurrent topics in Loretta Mastroeni's work include Market Dynamics and Volatility (15 papers), Complex Systems and Time Series Analysis (15 papers) and Stochastic processes and financial applications (8 papers). Loretta Mastroeni is often cited by papers focused on Market Dynamics and Volatility (15 papers), Complex Systems and Time Series Analysis (15 papers) and Stochastic processes and financial applications (8 papers). Loretta Mastroeni collaborates with scholars based in Italy, Spain and Mexico. Loretta Mastroeni's co-authors include Maurizio Naldi, Pierluigi Vellucci, Francesco Benedetto, Gaetano Giunta, Alberto Maria Bersani, M. Matzeu, Sancho Salcedo‐Sanz, David Casillas-Pérez, S. Jiménez‐Fernández and Mario Girardi and has published in prestigious journals such as IEEE Access, Energy Economics and Technological Forecasting and Social Change.

In The Last Decade

Loretta Mastroeni

57 papers receiving 602 citations

Author Peers

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

Author						Papers	Cites
Loretta Mastroeni	249	111	110	102	72	62	618
Qing Wang	165 0.7×	76 0.7×	97 0.9×	57 0.6×	28 0.4×	61	587
Germán G. Creamer	244 1.0×	215 1.9×	24 0.2×	64 0.6×	143 2.0×	51	650
Omar Rojas	174 0.7×	58 0.5×	25 0.2×	68 0.7×	39 0.5×	71	610
Weiyi Liu	219 0.9×	87 0.8×	40 0.4×	179 1.8×	39 0.5×	62	543
Anoop Kumar	456 1.8×	43 0.4×	104 0.9×	240 2.4×	43 0.6×	57	663
Can-Zhong Yao	312 1.3×	72 0.6×	20 0.2×	24 0.2×	27 0.4×	43	513
Shaoyi He	286 1.1×	52 0.5×	28 0.3×	148 1.5×	10 0.1×	28	597
Desheng Wu	94 0.4×	215 1.9×	84 0.8×	134 1.3×	69 1.0×	48	693
Cai Yang	459 1.8×	86 0.8×	15 0.1×	85 0.8×	67 0.9×	34	668
Qi Qi	140 0.6×	169 1.5×	36 0.3×	27 0.3×	31 0.4×	56	637

Countries citing papers authored by Loretta Mastroeni

Since Specialization

Citations

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

Fields of papers citing papers by Loretta Mastroeni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loretta Mastroeni

This figure shows the co-authorship network connecting the top 25 collaborators of Loretta Mastroeni. A scholar is included among the top collaborators of Loretta Mastroeni 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 Loretta Mastroeni. Loretta Mastroeni 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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