Waseem Abbas
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Xenofon KoutsoukosÁron LászkaMagnus EgerstedtYevgeniy VorobeychikMudassir ShabbirSaurabh AminLina PerelmanAritra Mitra
- Topics
- Distributed Control Multi-Agent Systems (19 papers)Complex Network Analysis Techniques (12 papers)Gene Regulatory Network Analysis (10 papers)
- Cited by
- Computer Networks and CommunicationsControl and Systems EngineeringStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- United StatesPakistanSaudi Arabia
In The Last Decade
Waseem Abbas
65 papers receiving 464 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 295
- Control and Systems Engineering 102
- Artificial Intelligence 84
- Electrical and Electronic Engineering 83
- Statistical and Nonlinear Physics 54
Countries citing papers authored by Waseem Abbas
This map shows the geographic impact of Waseem Abbas'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 Waseem Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waseem Abbas more than expected).
Fields of papers citing papers by Waseem Abbas
This network shows the impact of papers produced by Waseem Abbas. 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 Waseem Abbas. The network helps show where Waseem Abbas may publish in the future.
Co-authorship network of co-authors of Waseem Abbas
This figure shows the co-authorship network connecting the top 25 collaborators of Waseem Abbas. A scholar is included among the top collaborators of Waseem Abbas 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 Waseem Abbas. Waseem Abbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | General Considerations Regarding Scattering of the MRI RF Field by Implanted Medical Devices | 0 |
| 19 | 1 | |
| 20 | 25 |
About Waseem Abbas
Waseem Abbas is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 77 papers that have together received 477 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (19 papers), Complex Network Analysis Techniques (12 papers) and Gene Regulatory Network Analysis (10 papers). The work is most often cited by research in Computer Networks and Communications (295 citations), Control and Systems Engineering (102 citations) and Statistical and Nonlinear Physics (54 citations). Waseem Abbas has collaborated with scholars based in United States, Pakistan and Saudi Arabia. Frequent co-authors include Xenofon Koutsoukos, Áron Lászka, Magnus Egerstedt, Yevgeniy Vorobeychik, Mudassir Shabbir, Saurabh Amin, Lina Perelman, Aritra Mitra, Shreyas Sundaram and Hassan Jaleel. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.