Shahriar Nirjon

73 papers receiving 993 citations

Peers

Shahriar Nirjon
Comparison fields: 5 of 91
  • Human-Computer Interaction 114
  • Signal Processing 181
  • Computer Vision and Pattern Recognition 286
  • Computer Networks and Communications 315
  • Electrical and Electronic Engineering 427
Replace Yunhao Liu with:
Yunhao Liu China
Chouchang Yang United States
Nishkam Ravi United States
Petko Georgiev United Kingdom
Xiaonan Guo United States
Deokjai Choi South Korea
Bodhi Priyantha United States
Valentin Radu United Kingdom
Anfu Zhou China
A. Jones United Kingdom
Shahriar Nirjon relative to Yunhao Liu China Yunhao Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shahriar Nirjon

Since Specialization
Citations

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

Fields of papers citing papers by Shahriar Nirjon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 201279
3 201068
4 200861
5 201458
6 201345
7 201237
8 201936
9 201932
10 202032
11 202030
12 201929
13 201928
14 201827
15 202025
16 201721
17 202015
18 201615
19 201415
20 201715

About Shahriar Nirjon

Shahriar Nirjon is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (16 papers), Speech and Audio Processing (15 papers), Music and Audio Processing (12 papers), Bluetooth and Wireless Communication Technologies (10 papers), Context-Aware Activity Recognition Systems (9 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Energy Harvesting in Wireless Networks (7 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Human-Computer Interaction (114 citations), Signal Processing (181 citations), Computer Vision and Pattern Recognition (286 citations), Computer Networks and Communications (315 citations) and Electrical and Electronic Engineering (427 citations). Shahriar Nirjon has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Seulki Lee, John A. Stankovic, Bashima Islam, Xiaofan Jiang, Kyu-Han Kim, Dan Gelb, Jeremy Gummeson, Robert Dickerson, Guobin Shen and Dezhi Hong. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Mobile Computing, ACM Transactions on Embedded Computing Systems, IEEE Internet of Things Journal and ACM Transactions on Cyber-Physical 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.

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