Michela Mulas

1.4k citations
54 papers · 1.0k · h-index 19

Impact in

Papers in

Michela Mulas

51 papers receiving 1.0k citations

Peers

Michela Mulas
Comparison fields: 5 of 116
  • Industrial and Manufacturing Engineering 272
  • Water Science and Technology 345
  • Pollution 254
  • Control and Systems Engineering 308
  • Process Chemistry and Technology 33
Replace Ilse Smets with:
Ilse Smets Belgium
Ryan W. Holloway United States
Kaiwen Deng China
Yuansheng Huang China
Xu Gao China
Henri Haimi Finland
Yuewei Wang China
Seungjin Kim United States
Jianbo Guo China
John B. Copp Canada
Michela Mulas relative to Ilse Smets Belgium Ilse Smets's profile →
Citations per field
00.5×6.6×
Ilse Smets · 1×
Citations per year

Countries citing papers authored by Michela Mulas

Since Specialization
Citations

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

Fields of papers citing papers by Michela Mulas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michela Mulas, 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 Michela Mulas Line = papers co-authored together Michela Mulas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013205
2 201686
3 201682
4 201167
5 201848
6 201546
7 201539
8 201636
9 201634
10 201234
11 199933
12 200128
13 201125
14 201025
15 200922
16 199920
17 200519
18 201519
19
Serum lipoprotein pattern as modified in G6PD-deficient children during haemolytic anaemia induced by fava bean ingestion.
199219
20 201316

About Michela Mulas

Michela Mulas is a scholar working on Control and Systems Engineering, Pollution, Water Science and Technology, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (24 papers), Advanced Control Systems Optimization (19 papers), Fault Detection and Control Systems (16 papers), Wireless Sensor Networks for Data Analysis (6 papers), Water Quality Monitoring and Analysis (6 papers), Water Quality Monitoring Technologies (5 papers), Cholesterol and Lipid Metabolism (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (272 citations), Water Science and Technology (345 citations), Pollution (254 citations), Control and Systems Engineering (308 citations) and Process Chemistry and Technology (33 citations). Michela Mulas has collaborated with scholars based in Finland, Brazil and Italy. Frequent co-authors include Francesco Corona, Riku Vahala, Henri Haimi, Mari Heinonen, Roberto Baratti, Stefania Tronci, Sandra Dessı̀, Anna Mikola, A.E. Ruano and Alfonso García-Cerezo. Their work appears in journals such as Journal of Process Control, Industrial & Engineering Chemistry Research, Water Science & Technology, Chemical Engineering Journal and Cellular and Molecular Life Sciences.

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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