Mukarram Tariq
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Hardware and Architecture top 10%
- Co-authors
- Nick FeamsterMostafa AmmarMurtaza MotiwalaVytautas ValanciusAnirudh RamachandranXiang ZhouCedric F. LamRyohei Urata
- Topics
- Software-Defined Networks and 5G (6 papers)Software System Performance and Reliability (4 papers)Cloud Computing and Resource Management (4 papers)
- Journals
- IEEE/ACM Transactions on NetworkingACM SIGCOMM Computer Communication ReviewSMARTech Repository (Georgia Institute of Technology)
- Partner nations
- United States
In The Last Decade
Mukarram Tariq
12 papers receiving 334 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 314
- Artificial Intelligence 108
- Electrical and Electronic Engineering 83
- Information Systems 62
- Hardware and Architecture 31
Countries citing papers authored by Mukarram Tariq
This map shows the geographic impact of Mukarram Tariq'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 Mukarram Tariq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukarram Tariq more than expected).
Fields of papers citing papers by Mukarram Tariq
This network shows the impact of papers produced by Mukarram Tariq. 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 Mukarram Tariq. The network helps show where Mukarram Tariq may publish in the future.
Co-authorship network of co-authors of Mukarram Tariq
This figure shows the co-authorship network connecting the top 25 collaborators of Mukarram Tariq. A scholar is included among the top collaborators of Mukarram Tariq 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 Mukarram Tariq. Mukarram Tariq 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 | 3 | |
| 3 | 32 | |
| 4 | 13 | |
| 5 | Practical Data-Leak Prevention for Legacy Applications in Enterprise Networks | 4 |
| 6 | 8 | |
| 7 | 22 | |
| 8 | 70 | |
| 9 | 59 | |
| 10 | 5 | |
| 11 | 74 | |
| 12 | 47 | |
| 13 | Packets with Provenance | 21 |
About Mukarram Tariq
Mukarram Tariq is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 13 papers that have together received 358 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (6 papers), Software System Performance and Reliability (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Computer Networks and Communications (314 citations), Hardware and Architecture (31 citations) and Software (14 citations). Mukarram Tariq has collaborated with scholars based in United States. Frequent co-authors include Nick Feamster, Mostafa Ammar, Murtaza Motiwala, Vytautas Valancius, Anirudh Ramachandran, Xiang Zhou, Cedric F. Lam, Ryohei Urata, Kevin Yasumura and Roy Bannon. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and SMARTech Repository (Georgia Institute of Technology).
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.