Alfredo Garro

155 total papers · 1.7k total citations
102 papers, 993 citations indexed

About

Alfredo Garro is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Software. According to data from OpenAlex, Alfredo Garro has authored 102 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Management Science and Operations Research, 35 papers in Computer Networks and Communications and 26 papers in Software. Recurrent topics in Alfredo Garro's work include Simulation Techniques and Applications (47 papers), Modeling and Simulation Systems (18 papers) and Model-Driven Software Engineering Techniques (18 papers). Alfredo Garro is often cited by papers focused on Simulation Techniques and Applications (47 papers), Modeling and Simulation Systems (18 papers) and Model-Driven Software Engineering Techniques (18 papers). Alfredo Garro collaborates with scholars based in Italy, United States and Nigeria. Alfredo Garro's co-authors include Alberto Falcone, Andrea Tundis, Wilma Russo, Giancarlo Fortino, Yaroslav D. Sergeyev, Anastasia Anagnostou, Simon J. E. Taylor, Massimo Cossentino, Angelo Furfaro and Valeria Seidita and has published in prestigious journals such as Information Sciences, Applied Mathematics and Computation and Communications in Nonlinear Science and Numerical Simulation.

In The Last Decade

Alfredo Garro

95 papers receiving 912 citations

Author Peers

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

Author						Papers	Cites
Alfredo Garro	325	282	220	201	201	102	993
Bruno Séricola	171 0.5×	316 1.1×	142 0.6×	64 0.3×	219 1.1×	63	1.1k
C.M. Woodside	80 0.2×	679 2.4×	332 1.5×	117 0.6×	187 0.9×	84	1.1k
И. Н. Коваленко	232 0.7×	208 0.7×	100 0.5×	76 0.4×	72 0.4×	69	885
Hisashi Mine	103 0.3×	283 1.0×	101 0.5×	170 0.8×	279 1.4×	72	1.2k
John W. Chinneck	164 0.5×	413 1.5×	236 1.1×	169 0.8×	302 1.5×	69	1.1k
Djamil Aı̈ssani	194 0.6×	480 1.7×	106 0.5×	64 0.3×	38 0.2×	155	1.2k
Andrea D’Ambrogio	275 0.8×	323 1.1×	201 0.9×	74 0.4×	30 0.1×	109	838
Héctor Cancela	81 0.2×	198 0.7×	167 0.8×	70 0.3×	112 0.6×	77	895
Bernd Heidergott	330 1.0×	169 0.6×	96 0.4×	162 0.8×	449 2.2×	94	1.2k
Christos Alexopoulos	365 1.1×	74 0.3×	84 0.4×	105 0.5×	99 0.5×	93	804

Countries citing papers authored by Alfredo Garro

Since Specialization

Citations

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

Fields of papers citing papers by Alfredo Garro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfredo Garro

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