Melissa Assirelli

19 total papers · 486 total citations
15 papers, 405 citations indexed

About

Melissa Assirelli is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Melissa Assirelli has authored 15 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Computational Mechanics and 6 papers in Mechanical Engineering. Recurrent topics in Melissa Assirelli's work include Fluid Dynamics and Mixing (7 papers), Metallurgical Processes and Thermodynamics (5 papers) and Minerals Flotation and Separation Techniques (5 papers). Melissa Assirelli is often cited by papers focused on Fluid Dynamics and Mixing (7 papers), Metallurgical Processes and Thermodynamics (5 papers) and Minerals Flotation and Separation Techniques (5 papers). Melissa Assirelli collaborates with scholars based in Belgium, Netherlands and United Kingdom. Melissa Assirelli's co-authors include Alvin W. Nienow, Archie Eaglesham, Waldemar Bujalski, J. van der Schaaf, W. Bujalski, Wee Chew, Andrzej Górak, A. Sander Haase, Jia Wei Desmond Ng and Robert W. Sharpe and has published in prestigious journals such as Chemical Engineering Journal, Industrial & Engineering Chemistry Research and Chemical Engineering Science.

In The Last Decade

Melissa Assirelli

15 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Melissa Assirelli 292 140 100 91 70 15 405
Archie Eaglesham 265 0.9× 144 1.0× 110 1.1× 89 1.0× 58 0.8× 22 382
I.P.T. Moore 264 0.9× 110 0.8× 134 1.3× 76 0.8× 53 0.8× 11 399
Hideharu Yagi 293 1.0× 59 0.4× 105 1.1× 118 1.3× 65 0.9× 17 466
Michael Cooke 192 0.7× 202 1.4× 101 1.0× 128 1.4× 48 0.7× 23 408
S. Wroński 190 0.7× 171 1.2× 63 0.6× 74 0.8× 66 0.9× 29 411
U. Parasu Veera 324 1.1× 100 0.7× 147 1.5× 129 1.4× 21 0.3× 15 410
Katsuhide Takenaka 373 1.3× 194 1.4× 149 1.5× 132 1.5× 20 0.3× 18 458
Emmanuela Gavi 168 0.6× 204 1.5× 88 0.9× 87 1.0× 78 1.1× 19 436
V. B. Rewatkar 390 1.3× 199 1.4× 220 2.2× 163 1.8× 32 0.5× 15 466
Kent E. Wardle 219 0.8× 258 1.8× 40 0.4× 115 1.3× 41 0.6× 19 478

Countries citing papers authored by Melissa Assirelli

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Assirelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Assirelli

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