Shahriar Nirjon
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Co-authors
- Seulki LeeJohn A. StankovicBashima IslamXiaofan JiangKyu-Han KimJeremy GummesonDan GelbRobert Dickerson
- Topics
- Indoor and Outdoor Localization Technologies (16 papers)Speech and Audio Processing (15 papers)Music and Audio Processing (12 papers)
- Journals
- IEEE Internet of Things JournalIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)IEEE Transactions on Mobile Computing
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Shahriar Nirjon
73 papers receiving 993 citations
Peers
Comparison fields: 5 of 91
- Electrical and Electronic Engineering 427
- Computer Networks and Communications 315
- Computer Vision and Pattern Recognition 286
- Signal Processing 181
- Artificial Intelligence 178
Countries citing papers authored by Shahriar Nirjon
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
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-authorship network of co-authors of Shahriar Nirjon
This figure shows the co-authorship network connecting the top 25 collaborators of Shahriar Nirjon. A scholar is included among the top collaborators of Shahriar Nirjon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shahriar Nirjon. Shahriar Nirjon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 36 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 86 | |
| 18 | 5 | |
| 19 | 61 | |
| 20 | 1 |
About Shahriar Nirjon
Shahriar Nirjon is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, 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) and Music and Audio Processing (12 papers). The work is most often cited by research in Human-Computer Interaction (114 citations), Signal Processing (181 citations) and Computer Vision and Pattern Recognition (286 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, Jeremy Gummeson, Dan Gelb, Robert Dickerson, Guobin Shen and Dezhi Hong. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Transactions on Mobile Computing.
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.