Taimur Bakhshi
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Co-authors
- Bogdan GhitaIevgeniia KuzminykhMaria PapadakiSteven FurnellSaman ShahidVolodymyr SokolovNasir MahmoodMuhammad Yaqoob
- Topics
- Network Security and Intrusion Detection (11 papers)Software-Defined Networks and 5G (9 papers)Internet Traffic Analysis and Secure E-voting (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- United KingdomPakistanUkraine
In The Last Decade
Taimur Bakhshi
33 papers receiving 484 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 273
- Information Systems 174
- Artificial Intelligence 144
- Signal Processing 117
- Electrical and Electronic Engineering 51
Countries citing papers authored by Taimur Bakhshi
This map shows the geographic impact of Taimur 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 Taimur Bakhshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taimur Bakhshi more than expected).
Fields of papers citing papers by Taimur Bakhshi
This network shows the impact of papers produced by Taimur 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 Taimur Bakhshi. The network helps show where Taimur Bakhshi may publish in the future.
Co-authorship network of co-authors of Taimur Bakhshi
This figure shows the co-authorship network connecting the top 25 collaborators of Taimur Bakhshi. A scholar is included among the top collaborators of Taimur 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 Taimur Bakhshi. Taimur 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 | 26 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 25 | |
| 7 | 30 | |
| 8 | 40 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 23 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | A Practical Assessment of Social Engineering Vulnerabilities. | 16 |
About Taimur Bakhshi
Taimur Bakhshi is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 34 papers that have together received 510 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Software-Defined Networks and 5G (9 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). The work is most often cited by research in Computer Networks and Communications (273 citations), Signal Processing (117 citations) and Information Systems (174 citations). Taimur Bakhshi has collaborated with scholars based in United Kingdom, Pakistan and Ukraine. Frequent co-authors include Bogdan Ghita, Ievgeniia Kuzminykh, Maria Papadaki, Steven Furnell, Saman Shahid, Volodymyr Sokolov, Nasir Mahmood, Muhammad Yaqoob, Ghalib A. Shah and Syed Ghazanfar Abbas. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.