Abdul Quadir

1.1k citations
58 papers · 570 · h-index 13

Impact in

Papers in

Abdul Quadir

55 papers receiving 538 citations

Peers

Abdul Quadir
Comparison fields: 5 of 98
  • Health Information Management 62
  • Management Science and Operations Research 111
  • Computer Networks and Communications 116
  • Information Systems 111
  • Artificial Intelligence 136
Replace Kunwar Singh Vaisla with:
Kunwar Singh Vaisla India
Arun Kumar Sivaraman India
Wael Alosaimi Saudi Arabia
Debahuti Mishra India
Ibrahim M. El‐Hasnony Egypt
Ankur Dumka India
A. H. Mohsin Malaysia
Ebenezer Esenogho South Africa
Mohamadtaghi Rahimi Iran
S. Nickolas India
Abdul Quadir relative to Kunwar Singh Vaisla India Kunwar Singh Vaisla's profile →
Citations per field
00.5×2.8×
Kunwar Singh Vaisla · 1×
Citations per year

Countries citing papers authored by Abdul Quadir

Since Specialization
Citations

This map shows the geographic impact of Abdul Quadir'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 Quadir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Quadir more than expected).

Fields of papers citing papers by Abdul Quadir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdul Quadir. 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 Quadir. The network helps show where Abdul Quadir may publish in the future.

Co-authors

The 25 scholars most cited alongside Abdul Quadir, 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 Quadir Line = papers co-authored together Abdul Quadir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022103
2 202355
3 202338
4 202229
5 201524
6 202319
7 202218
8 202216
9 201916
10 202314
11 202214
12 202313
13 202313
14 202312
15 202312
16 202111
17 202211
18 202410
19 20219
20 20159

About Abdul Quadir

Abdul Quadir is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 58 papers that have together received 570 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (7 papers), Cloud Data Security Solutions (7 papers), Network Security and Intrusion Detection (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Sustainable Supply Chain Management (4 papers), Blockchain Technology Applications and Security (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Health Information Management (62 citations), Management Science and Operations Research (111 citations), Computer Networks and Communications (116 citations), Information Systems (111 citations) and Artificial Intelligence (136 citations). Abdul Quadir has collaborated with scholars based in India, Saudi Arabia and United Kingdom. Frequent co-authors include Arun Kumar Sivaraman, Kong Fah Tee, Senthilkumar Mohan, V. Vijayakumar, Celestine Iwendi, Vijayakumar Varadarajan, H. Sabireen, Sapiah Sakri, Shakila Basheer and V. Neelanarayanan. Their work appears in journals such as Applied Soft Computing, Sustainability, Journal of Business and Industrial Marketing, Mobile Networks and Applications and Biomedicines.

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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