Shahriar Nirjon

74 papers receiving 1.1k citations

Peers

Shahriar Nirjon
Comparison fields: 5 of 91
  • Human-Computer Interaction 125
  • Signal Processing 186
  • Computer Vision and Pattern Recognition 315
  • Computer Networks and Communications 342
  • Electrical and Electronic Engineering 447
Replace Yunhao Liu with:
Yunhao Liu China
Deokjai Choi South Korea
Petko Georgiev United Kingdom
Thomas Stiefmeier Switzerland
Francesco Furfari Italy
Huajie Shao United States
Nishkam Ravi United States
Hongfei Xue United States
Xiaonan Guo United States
Tanır Özçelebi Netherlands
Shahriar Nirjon relative to Yunhao Liu China Yunhao Liu's profile →
Citations per field
00.5×6.1×
Yunhao Liu · 1×
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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201592
2 201289
3 201075
4 200868
5 201460
6 201348
7 201238
8 201937
9 202035
10 202033
11 201932
12 201932
13 201931
14 202027
15 201827
16 201724
17 201421
18 201616
19 202015
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 78 papers that have together received 1.1k 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), Context-Aware Activity Recognition Systems (11 papers), Bluetooth and Wireless Communication Technologies (10 papers), Energy Harvesting in Wireless Networks (7 papers), Opportunistic and Delay-Tolerant Networks (7 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Human-Computer Interaction (125 citations), Signal Processing (186 citations), Computer Vision and Pattern Recognition (315 citations), Computer Networks and Communications (342 citations) and Electrical and Electronic Engineering (447 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, Dan Gelb, Jeremy Gummeson, Kyu-Han Kim, Robert Dickerson, Guobin Shen and Dezhi Hong. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Embedded Computing Systems, IEEE Design and Test, 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.

Explore authors with similar magnitude of impact