Sajjadur Rahman
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Information Systems
- Co-authors
- Aditya ParameswaranNeoklis PolyzotisSamuel MaddenManasi VartakKarrie KarahaliosHannah KimHa‐Kyung KongXinru Wang
- Topics
- Data Visualization and Analytics (8 papers)Semantic Web and Ontologies (5 papers)Natural Language Processing Techniques (5 papers)
- Journals
- Proceedings of the VLDB EndowmentProceedings of the ACM on Human-Computer InteractionCHI Conference on Human Factors in Computing Systems
- Partner nations
- United StatesBangladeshCanada
In The Last Decade
Sajjadur Rahman
16 papers receiving 232 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 142
- Signal Processing 106
- Artificial Intelligence 94
- Computer Networks and Communications 46
- Information Systems 37
Countries citing papers authored by Sajjadur Rahman
This map shows the geographic impact of Sajjadur Rahman'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 Sajjadur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajjadur Rahman more than expected).
Fields of papers citing papers by Sajjadur Rahman
This network shows the impact of papers produced by Sajjadur Rahman. 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 Sajjadur Rahman. The network helps show where Sajjadur Rahman may publish in the future.
Co-authorship network of co-authors of Sajjadur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Sajjadur Rahman. A scholar is included among the top collaborators of Sajjadur Rahman 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 Sajjadur Rahman. Sajjadur Rahman 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 | 0 | |
| 4 | 32 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | Leam: An Interactive System for In-situ Visual Text Analysis. | 1 |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 40 | |
| 18 | 126 | |
| 19 | 1 | |
| 20 | 1 |
About Sajjadur Rahman
Sajjadur Rahman is a scholar working on Information Systems and Management, Signal Processing and Software, having authored 22 papers that have together received 244 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Semantic Web and Ontologies (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Signal Processing (106 citations), Computer Vision and Pattern Recognition (142 citations) and Artificial Intelligence (94 citations). Sajjadur Rahman has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Aditya Parameswaran, Neoklis Polyzotis, Samuel Madden, Manasi Vartak, Karrie Karahalios, Hannah Kim, Ha‐Kyung Kong, Xinru Wang, Eric Blais and Eser Kandogan. Their work appears in journals such as Proceedings of the VLDB Endowment, Proceedings of the ACM on Human-Computer Interaction and CHI Conference on Human Factors in Computing Systems.
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.