Marian Anghel
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- stochastic dynamics and bifurcation 1
- Control and Systems Engineering top 10%
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- Advancements in Semiconductor Devices and Circuit Design 1
- Nanomaterials and Printing Technologies 1
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- Fungal and yeast genetics research 1
- Bioinformatics and Genomic Networks 1
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- Conducting polymers and applications 1
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- Advanced Sensor and Energy Harvesting Materials 1
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- Machine Learning and ELM 1
- Co-authors
- Seth A. MyersTakashi NishikawaAdilson E. MotterYen Ting LinDaniel LivescuHsing‐Lin WangChristof TeuscherGuifu Zou
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- The Journal of Physical Chemistry C (1 paper)Nature Physics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesChinaIreland
In The Last Decade
Marian Anghel
5 papers receiving 568 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 246
- Computer Networks and Communications 391
- Cognitive Neuroscience 102
- Energy Engineering and Power Technology 16
- Control and Systems Engineering 91
Countries citing papers authored by Marian Anghel
This map shows the geographic impact of Marian Anghel'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 Marian Anghel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Anghel more than expected).
Fields of papers citing papers by Marian Anghel
This network shows the impact of papers produced by Marian Anghel. 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 Marian Anghel. The network helps show where Marian Anghel may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Marian Anghel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 24 | |
| 2 | 2019 | 7 | |
| 3 | Spontaneous synchrony in power-grid networksbreakdown → | 2013 | 515 |
| 4 | 2011 | 3 | |
| 5 | 2010 | 36 |
About Marian Anghel
Marian Anghel is a scholar working on Statistical and Nonlinear Physics, Polymers and Plastics and Computer Networks and Communications, having authored 5 papers that have together received 585 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (1 paper), Nanomaterials and Printing Technologies (1 paper), Fungal and yeast genetics research (1 paper), Conducting polymers and applications (1 paper), stochastic dynamics and bifurcation (1 paper), Bioinformatics and Genomic Networks (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper) and Machine Learning and ELM (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (246 citations), Computer Networks and Communications (391 citations) and Cognitive Neuroscience (102 citations). Marian Anghel has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Seth A. Myers, Takashi Nishikawa, Adilson E. Motter, Yen Ting Lin, Daniel Livescu, Hsing‐Lin Wang, Christof Teuscher, Guifu Zou, Xijiang Han and D.J. Williams. Their work appears in journals such as The Journal of Physical Chemistry C, Nature Physics and PLoS Computational Biology.
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.