Ida Mele

57 total papers · 513 total citations
30 papers, 248 citations indexed

About

Ida Mele is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Ida Mele has authored 30 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Ida Mele's work include Advanced Text Analysis Techniques (9 papers), Topic Modeling (8 papers) and Complex Network Analysis Techniques (7 papers). Ida Mele is often cited by papers focused on Advanced Text Analysis Techniques (9 papers), Topic Modeling (8 papers) and Complex Network Analysis Techniques (7 papers). Ida Mele collaborates with scholars based in Italy, Switzerland and Germany. Ida Mele's co-authors include Fábio Crestani, Ciriaco Andrea D’Angelo, Giovanni Abramo, Anastasia Giachanou, Aris Anagnostopoulos, Joanna Biega, Mohammad Aliannejadi, Luca Becchetti, Stefano Leonardi and Gerhard Weikum and has published in prestigious journals such as IEEE Access, Applied Sciences and Scientometrics.

In The Last Decade

Ida Mele

30 papers receiving 240 citations

Author Peers

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

Author Last Decade Papers Cites
Ida Mele 130 84 48 34 30 30 248
Mikołaj Morzy 90 0.7× 73 0.9× 69 1.4× 42 1.2× 16 0.5× 40 249
Luís Sarmento 215 1.7× 85 1.0× 27 0.6× 56 1.6× 19 0.6× 36 320
Phu Pham 167 1.3× 102 1.2× 39 0.8× 59 1.7× 34 1.1× 27 325
Thushari Silva 140 1.1× 163 1.9× 55 1.1× 23 0.7× 46 1.5× 33 324
Wang Gao 203 1.6× 95 1.1× 38 0.8× 43 1.3× 25 0.8× 29 301
Ingo Frommholz 193 1.5× 117 1.4× 30 0.6× 18 0.5× 22 0.7× 56 305
Gianluca Bonifazi 95 0.7× 57 0.7× 54 1.1× 47 1.4× 18 0.6× 26 270
James Blustein 160 1.2× 127 1.5× 71 1.5× 13 0.4× 27 0.9× 39 328
Sumio Fujita 134 1.0× 118 1.4× 20 0.4× 33 1.0× 24 0.8× 53 267
Kyle Williams 166 1.3× 130 1.5× 28 0.6× 13 0.4× 23 0.8× 20 280

Countries citing papers authored by Ida Mele

Since Specialization
Citations

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

Fields of papers citing papers by Ida Mele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Mele

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