Tarique Siddiqui
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Aditya ParameswaranKarrie KarahaliosJ. Jack LeeSamuel MaddenAlbert KimSilu HuangManasi VartakWentao Wu
- Topics
- Data Visualization and Analytics (10 papers)Data Management and Algorithms (9 papers)Advanced Database Systems and Queries (7 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- Communications of the ACMIEEE Transactions on Visualization and Computer GraphicsProceedings of the VLDB Endowment
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tarique Siddiqui
19 papers receiving 338 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 159
- Signal Processing 134
- Computer Networks and Communications 118
- Information Systems 77
Countries citing papers authored by Tarique Siddiqui
This map shows the geographic impact of Tarique Siddiqui'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 Tarique Siddiqui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarique Siddiqui more than expected).
Fields of papers citing papers by Tarique Siddiqui
This network shows the impact of papers produced by Tarique Siddiqui. 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 Tarique Siddiqui. The network helps show where Tarique Siddiqui may publish in the future.
Co-authorship network of co-authors of Tarique Siddiqui
This figure shows the co-authorship network connecting the top 25 collaborators of Tarique Siddiqui. A scholar is included among the top collaborators of Tarique Siddiqui 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 Tarique Siddiqui. Tarique Siddiqui 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 | 4 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 20 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 44 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | Fast-forwarding to desired visualizations with zenvisage | 15 |
| 17 | 79 | |
| 18 | Towards Visualization Recommendation Systems | 1 |
| 19 | 86 | |
| 20 | 4 |
About Tarique Siddiqui
Tarique Siddiqui is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Data Management and Algorithms (9 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Signal Processing (134 citations), Computer Vision and Pattern Recognition (180 citations) and Computer Networks and Communications (118 citations). Tarique Siddiqui has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Aditya Parameswaran, Karrie Karahalios, J. Jack Lee, Samuel Madden, Albert Kim, Silu Huang, Manasi Vartak, Wentao Wu, Surajit Chaudhuri and Vivek Narasayya. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Visualization and Computer Graphics and Proceedings of the VLDB Endowment.
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.