Delfina Malandrino

142 total papers · 1.8k total citations
96 papers, 1.0k citations indexed

About

Delfina Malandrino is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Information Systems. According to data from OpenAlex, Delfina Malandrino has authored 96 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 30 papers in Sociology and Political Science and 26 papers in Information Systems. Recurrent topics in Delfina Malandrino's work include Data Visualization and Analytics (17 papers), Music and Audio Processing (14 papers) and Music Technology and Sound Studies (13 papers). Delfina Malandrino is often cited by papers focused on Data Visualization and Analytics (17 papers), Music and Audio Processing (14 papers) and Music Technology and Sound Studies (13 papers). Delfina Malandrino collaborates with scholars based in Italy, United States and Saudi Arabia. Delfina Malandrino's co-authors include Vittorio Scarano, Rocco Zaccagnino, Nicola Lettieri, Alfonso Guarino, Donato Pirozzi, Balachander Krishnamurthy, Raffaele Spinelli, Roberto De Prisco, Craig E. Wills and Ugo Erra and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and BMC Bioinformatics.

In The Last Decade

Delfina Malandrino

90 papers receiving 997 citations

Author Peers

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

Author Last Decade Papers Cites
Delfina Malandrino 307 297 257 232 179 96 1.0k
Michaël Friedewald 323 1.1× 137 0.5× 166 0.6× 163 0.7× 28 0.2× 100 991
Anita Komlódi 205 0.7× 331 1.1× 375 1.5× 233 1.0× 120 0.7× 75 1.2k
Stephen R. Gulliver 223 0.7× 297 1.0× 151 0.6× 110 0.5× 103 0.6× 75 1.1k
Anne C. Rose 261 0.9× 485 1.6× 246 1.0× 229 1.0× 140 0.8× 67 1.2k
George Lepouras 178 0.6× 417 1.4× 269 1.0× 417 1.8× 57 0.3× 93 1.2k
Mark Taylor 194 0.6× 76 0.3× 402 1.6× 162 0.7× 174 1.0× 108 1.0k
Kelly Lyons 341 1.1× 129 0.4× 154 0.6× 168 0.7× 112 0.6× 64 1.1k
Eser Kandogan 125 0.4× 472 1.6× 385 1.5× 396 1.7× 188 1.1× 55 1.2k
Nitin Sawhney 266 0.9× 464 1.6× 142 0.6× 148 0.6× 133 0.7× 39 1.1k
Paul Haskell‐Dowland 144 0.5× 87 0.3× 524 2.0× 193 0.8× 304 1.7× 81 938

Countries citing papers authored by Delfina Malandrino

Since Specialization
Citations

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

Fields of papers citing papers by Delfina Malandrino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delfina Malandrino

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