E. J. Ngamga
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience top 10%
- Economics and Econometrics
- Molecular Biology
- Co-authors
- Jürgen KurthsArturo BuscarinoLuigi FortunaMattia FrascaGrazia Lo SciutoNorbert MarwanAmitabha NandiM. Carmen Romano
- Topics
- Chaos control and synchronization (7 papers)Nonlinear Dynamics and Pattern Formation (7 papers)Complex Systems and Time Series Analysis (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Physics Letters AChaos An Interdisciplinary Journal of Nonlinear ScienceThe European Physical Journal Special Topics
- Partner nations
- GermanyUnited KingdomIndia
In The Last Decade
E. J. Ngamga
10 papers receiving 299 citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 168
- Statistical and Nonlinear Physics 160
- Cognitive Neuroscience 116
- Economics and Econometrics 49
- Molecular Biology 28
Countries citing papers authored by E. J. Ngamga
This map shows the geographic impact of E. J. Ngamga'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 E. J. Ngamga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Ngamga more than expected).
Fields of papers citing papers by E. J. Ngamga
This network shows the impact of papers produced by E. J. Ngamga. 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 E. J. Ngamga. The network helps show where E. J. Ngamga may publish in the future.
Co-authorship network of co-authors of E. J. Ngamga
This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Ngamga. A scholar is included among the top collaborators of E. J. Ngamga 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 E. J. Ngamga. E. J. Ngamga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 49 | |
| 3 | 118 | |
| 4 | 29 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 38 |
About E. J. Ngamga
E. J. Ngamga is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Economics and Econometrics, having authored 10 papers that have together received 305 indexed citations. Recurring topics across this work include Chaos control and synchronization (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (160 citations), Computer Networks and Communications (168 citations) and Cognitive Neuroscience (116 citations). E. J. Ngamga has collaborated with scholars based in Germany, United Kingdom and India. Frequent co-authors include Jürgen Kurths, Arturo Buscarino, Luigi Fortuna, Mattia Frasca, Grazia Lo Sciuto, Norbert Marwan, Amitabha Nandi, M. Carmen Romano, Stephan Bialonski and D. V. Senthilkumar. Their work appears in journals such as Physics Letters A, Chaos An Interdisciplinary Journal of Nonlinear Science and The European Physical Journal Special Topics.
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.