Abdul Quamar
Impact in
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- Advanced Database Systems and Queries
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Semantic Web and Ontologies 16
- Advanced Graph Neural Networks 5
- Topic Modeling 4
- Natural Language Processing Techniques 4
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- Advanced Database Systems and Queries 8
- Co-authors
- Amol Deshpande (5 shared papers)K. Ashwin Kumar (2 shared papers)Chuan Lei (13 shared papers)Fatma Özcan (14 shared papers)Vasilis Efthymiou (10 shared papers)Jimmy Lin (2 shared papers)Samir Khuller (1 shared paper)Jonathan Goldstein (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (5 papers)The VLDB Journal (4 papers)IEEE Data(base) Engineering Bulletin (1 paper)arXiv (Cornell University) (1 paper)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United StatesIndiaGreece
In The Last Decade
Abdul Quamar
25 papers receiving 486 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 236
- Information Systems 225
- Artificial Intelligence 252
- Signal Processing 76
- Computer Vision and Pattern Recognition 124
Countries citing papers authored by Abdul Quamar
This map shows the geographic impact of Abdul Quamar'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 Abdul Quamar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Quamar more than expected).
Fields of papers citing papers by Abdul Quamar
This network shows the impact of papers produced by Abdul Quamar. 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 Abdul Quamar. The network helps show where Abdul Quamar may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdul Quamar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 89 | |
| 2 | 2014 | 64 | |
| 3 | 2015 | 41 | |
| 4 | 2020 | 40 | |
| 5 | 2013 | 40 | |
| 6 | 2020 | 36 | |
| 7 | 2021 | 28 | |
| 8 | 2014 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2020 | 18 | |
| 13 | Ontology-Based Natural Language Query Interfaces for Data Exploration. | 2018 | 12 |
| 14 | 2021 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2016 | 3 | |
| 20 | 2018 | 3 |
About Abdul Quamar
Abdul Quamar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 500 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Data Quality and Management (9 papers), Advanced Database Systems and Queries (8 papers), Cloud Computing and Resource Management (7 papers), Graph Theory and Algorithms (5 papers), Advanced Graph Neural Networks (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (236 citations), Information Systems (225 citations), Artificial Intelligence (252 citations), Signal Processing (76 citations) and Computer Vision and Pattern Recognition (124 citations). Abdul Quamar has collaborated with scholars based in United States, India and Greece. Frequent co-authors include Amol Deshpande, K. Ashwin Kumar, Chuan Lei, Fatma Özcan, Vasilis Efthymiou, Jimmy Lin, Samir Khuller, Jonathan Goldstein, Badrish Chandramouli and Karthik Sankaranarayanan. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, IEEE Data(base) Engineering Bulletin, arXiv (Cornell University) and Conference on Innovative Data Systems Research.
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.