Alessandro Maccari

24 total papers · 435 total citations
13 papers, 273 citations indexed

About

Alessandro Maccari is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Alessandro Maccari has authored 13 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 8 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Alessandro Maccari's work include Software Engineering Research (9 papers), Advanced Software Engineering Methodologies (8 papers) and Software Engineering Techniques and Practices (6 papers). Alessandro Maccari is often cited by papers focused on Software Engineering Research (9 papers), Advanced Software Engineering Methodologies (8 papers) and Software Engineering Techniques and Practices (6 papers). Alessandro Maccari collaborates with scholars based in Finland, Italy and Australia. Alessandro Maccari's co-authors include Alessandro Fantechi, Stefania Gnesi, Giuseppe Lami, Claudio de la Riva and Alexandru Telea and has published in prestigious journals such as Empirical Software Engineering, Software Practice and Experience and Requirements Engineering.

In The Last Decade

Alessandro Maccari

13 papers receiving 244 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandro Maccari 239 169 74 48 30 13 273
Andreas Pleuß 218 0.9× 217 1.3× 77 1.0× 64 1.3× 34 1.1× 26 304
Trygve Reenskaug 127 0.5× 108 0.6× 56 0.8× 51 1.1× 14 0.5× 17 204
Arun Iyer 103 0.4× 150 0.9× 40 0.5× 36 0.8× 30 1.0× 13 241
Christian F. J. Lange 271 1.1× 176 1.0× 161 2.2× 61 1.3× 32 1.1× 12 318
Grégory Nain 140 0.6× 151 0.9× 33 0.4× 109 2.3× 28 0.9× 18 229
Martin Stanley 243 1.0× 173 1.0× 63 0.9× 137 2.9× 11 0.4× 14 306
Gary Chastek 163 0.7× 166 1.0× 46 0.6× 57 1.2× 13 0.4× 24 212
Kevlin Henney 208 0.9× 172 1.0× 53 0.7× 111 2.3× 21 0.7× 20 326
Orla Greevy 251 1.1× 136 0.8× 112 1.5× 124 2.6× 50 1.7× 25 294
Hans Albrecht Schmid 145 0.6× 171 1.0× 53 0.7× 166 3.5× 9 0.3× 20 309

Countries citing papers authored by Alessandro Maccari

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Maccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Maccari

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