Massimo Roma

913 citations
34 papers · 605 · h-index 14

Impact in

Papers in

Massimo Roma

32 papers receiving 542 citations

Peers

Massimo Roma
Comparison fields: 5 of 71
  • Numerical Analysis 383
  • Computational Theory and Mathematics 341
  • Computational Mechanics 175
  • Emergency Medical Services 50
  • Computational Mathematics 4
Replace Keyvan Amini with:
Keyvan Amini Iran
Annick Sartenaer Belgium
Ana Friedlander Brazil
Nataša Krejić Serbia
Huynh Van Ngai Vietnam
Jan Vlček Czechia
Peter V. Nash United Kingdom
Nguyen Mau Nam United States
Michael V. Solodov Brazil
Damek Davis United States
Massimo Roma relative to Keyvan Amini Iran Keyvan Amini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo Roma

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Roma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Massimo Roma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Roma Line = papers co-authored together Massimo Roma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999206
2 199841
3 199840
4 200033
5 199629
6 201625
7 201316
8 200716
9 202116
10 199716
11 201615
12 202214
13 201714
14 201514
15 201612
16 202012
17 201711
18 202111
19 200411
20 201710

About Massimo Roma

Massimo Roma is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Emergency Medical Services, Emergency Medicine and Computational Mechanics, having authored 34 papers that have together received 605 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (22 papers), Matrix Theory and Algorithms (18 papers), Iterative Methods for Nonlinear Equations (12 papers), Sparse and Compressive Sensing Techniques (8 papers), Healthcare Operations and Scheduling Optimization (7 papers), Emergency and Acute Care Studies (5 papers), Numerical Methods and Algorithms (5 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Numerical Analysis (383 citations), Computational Theory and Mathematics (341 citations), Computational Mechanics (175 citations), Emergency Medical Services (50 citations) and Computational Mathematics (4 citations). Massimo Roma has collaborated with scholars based in Italy, United States and Oman. Frequent co-authors include Stefano Lucidi, Philippe L. Toint, Nicholas I. M. Gould, Giovanni Fasano, Laura Palagi, Michael C. Ferris, Francesco Rinaldi, Luca Paulon, Massimo Maurici and Alberto De Santis. Their work appears in journals such as Computational Optimization and Applications, SIAM Journal on Optimization, Optimization Letters, Optimization methods & software and Applied Mathematics and Computation.

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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