Ariful Azad

62 papers receiving 919 citations

Ariful Azad's Hit Papers

Unraveling the functional dark matter through global metagenomics 2023 · 96 citations
960+1+2Years since publication255075

Peers

Ariful Azad
Comparison fields: 5 of 125
  • Computational Mathematics 37
  • Hardware and Architecture 286
  • Computer Vision and Pattern Recognition 336
  • Computer Networks and Communications 308
  • Artificial Intelligence 283
Replace Guangming Tan with:
Guangming Tan China
Sergio Barrachina Spain
Canqun Yang China
Tze Meng Low United States
Leonid Oliker United States
Mihai Pǎtraşcu United States
Hristo Djidjev United States
Daniele G. Spampinato United States
Paul Stodghill United States
Rolf Fagerberg Denmark
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Citations per year

Countries citing papers authored by Ariful Azad

Since Specialization
Citations

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

Fields of papers citing papers by Ariful Azad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2
Unraveling the functional dark matter through global metagenomics
Hit paper breakdown →
202396
3 201595
4 201674
5 201846
6 201738
7 201837
8 201629
9 201928
10 201723
11 201622
12 201222
13 202120
14 202118
15 202218
16 201616
17 201616
18 201215
19 201914
20 202013

About Ariful Azad

Ariful Azad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Molecular Biology, having authored 66 papers that have together received 943 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (25 papers), Parallel Computing and Optimization Techniques (16 papers), Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (10 papers), Interconnection Networks and Systems (8 papers), Single-cell and spatial transcriptomics (7 papers), Stochastic Gradient Optimization Techniques (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Computational Mathematics (37 citations), Hardware and Architecture (286 citations), Computer Vision and Pattern Recognition (336 citations), Computer Networks and Communications (308 citations) and Artificial Intelligence (283 citations). Ariful Azad has collaborated with scholars based in United States, Norway and India. Frequent co-authors include Aydın Buluç, John R. Gilbert, Alex Pothen, Georgios A. Pavlopoulos, Nikos C. Kyrpides, Christos Ouzounis, Bartek Rajwa, Kurt Keutzer, Amir Gholami and Mahantesh Halappanavar. Their work appears in journals such as Parallel Computing, Scientific Reports, BMC Bioinformatics, IEEE Transactions on Parallel and Distributed Systems and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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