Abdul Quamar

723 citations
25 papers · 500 · h-index 13

Impact in

Papers in

Abdul Quamar

25 papers receiving 486 citations

Peers

Abdul Quamar
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
Replace Petra Selmer with:
Petra Selmer United Kingdom
Kee Siong Ng Australia
Huiming Qu United States
Stefan Plantikow Germany
Paolo Guagliardo United Kingdom
Alastair Green United Kingdom
Victor Marsault France
Juwei Shi China
Tobias Lindaaker United States
Norbert Martínez-Bazán Spain
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Citations per field
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Citations per year

Countries citing papers authored by Abdul Quamar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Abdul Quamar Line = papers co-authored together Abdul Quamar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201389
2 201464
3 201541
4 202040
5 201340
6 202036
7 202128
8 201423
9 202021
10 201920
11 202219
12 202018
13
Ontology-Based Natural Language Query Interfaces for Data Exploration.
201812
14 202111
15 20219
16 20167
17 20206
18 20215
19 20163
20 20183

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.

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