Madiha Nadri
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications
- Artificial Intelligence
- Co-authors
- H. HammouriPascal DufourVincent AndrieuUlysse SerresVincent LemortAntonio SciarrettaPaolino TonaThach Ngoc Dinh
- Topics
- Advanced Control Systems Optimization (19 papers)Adaptive Control of Nonlinear Systems (18 papers)Fault Detection and Control Systems (9 papers)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Madiha Nadri
39 papers receiving 653 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 407
- Mechanical Engineering 223
- Statistical and Nonlinear Physics 96
- Computer Networks and Communications 33
- Artificial Intelligence 31
Countries citing papers authored by Madiha Nadri
This map shows the geographic impact of Madiha Nadri'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 Madiha Nadri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madiha Nadri more than expected).
Fields of papers citing papers by Madiha Nadri
This network shows the impact of papers produced by Madiha Nadri. 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 Madiha Nadri. The network helps show where Madiha Nadri may publish in the future.
Co-authorship network of co-authors of Madiha Nadri
This figure shows the co-authorship network connecting the top 25 collaborators of Madiha Nadri. A scholar is included among the top collaborators of Madiha Nadri 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 Madiha Nadri. Madiha Nadri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 55 | |
| 7 | 3 | |
| 8 | Model based control for waste heat recovery rankine cycle system in heavy duty trucks | 3 |
| 9 | 50 | |
| 10 | 62 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 11 | |
| 18 | 46 | |
| 19 | 44 | |
| 20 | 6 |
About Madiha Nadri
Madiha Nadri is a scholar working on Control and Systems Engineering, Filtration and Separation and Statistical and Nonlinear Physics, having authored 41 papers that have together received 664 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (19 papers), Adaptive Control of Nonlinear Systems (18 papers) and Fault Detection and Control Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (407 citations), Statistical and Nonlinear Physics (96 citations) and Mechanical Engineering (223 citations). Madiha Nadri has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include H. Hammouri, Pascal Dufour, Vincent Andrieu, Ulysse Serres, Vincent Lemort, Antonio Sciarretta, Paolino Tona, Thach Ngoc Dinh, Jean-Claude Vivalda and Jun Qian. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Applied Energy.
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.