Rena Bakhshi
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics
- Statistical and Nonlinear Physics
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Wan FokkinkBoudewijn R. HaverkortLucia ClothMaarten van SteenDaniela GavidiaJörg EndrullisAnsgar FehnkerDilian Gurov
- Topics
- Peer-to-Peer Network Technologies (9 papers)Complex Network Analysis Techniques (6 papers)Distributed systems and fault tolerance (5 papers)
- Partner nations
- NetherlandsLuxembourgAustralia
In The Last Decade
Rena Bakhshi
24 papers receiving 151 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 100
- Computational Theory and Mathematics 28
- Statistical and Nonlinear Physics 25
- Artificial Intelligence 20
- Electrical and Electronic Engineering 18
Countries citing papers authored by Rena Bakhshi
This map shows the geographic impact of Rena Bakhshi'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 Rena Bakhshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rena Bakhshi more than expected).
Fields of papers citing papers by Rena Bakhshi
This network shows the impact of papers produced by Rena Bakhshi. 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 Rena Bakhshi. The network helps show where Rena Bakhshi may publish in the future.
Co-authorship network of co-authors of Rena Bakhshi
This figure shows the co-authorship network connecting the top 25 collaborators of Rena Bakhshi. A scholar is included among the top collaborators of Rena Bakhshi 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 Rena Bakhshi. Rena Bakhshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 10 | |
| 17 | On the Impact of Modelling Choices for Distributed Information Spread - A Comparative Study - | 4 |
| 18 | 4 | |
| 19 | 18 | |
| 20 | 7 |
About Rena Bakhshi
Rena Bakhshi is a scholar working on Health Informatics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 27 papers that have together received 157 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (9 papers), Complex Network Analysis Techniques (6 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Computer Networks and Communications (100 citations), Statistical and Nonlinear Physics (25 citations) and Transportation (13 citations). Rena Bakhshi has collaborated with scholars based in Netherlands, Luxembourg and Australia. Frequent co-authors include Wan Fokkink, Boudewijn R. Haverkort, Lucia Cloth, Maarten van Steen, Daniela Gavidia, Jörg Endrullis, Ansgar Fehnker, Dilian Gurov, Sonja Georgievska and Michael Lees. Their work appears in journals such as Computer Networks, Journal Of Big Data and Information Processing Letters.
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.