Bashima Islam

749 citations
47 papers · 435 · h-index 11

Impact in

Papers in

Bashima Islam

40 papers receiving 429 citations

Peers

Bashima Islam
Comparison fields: 5 of 71
  • Signal Processing 66
  • Hardware and Architecture 41
  • Computer Networks and Communications 114
  • Computer Vision and Pattern Recognition 75
  • Electrical and Electronic Engineering 176
Replace Timothy W. Hnat with:
Timothy W. Hnat United States
Samit Kumar Ghosh India
Shuisheng Lin China
Allen C. Cheng United States
Bill Fleming Australia
Chuan-Bi Lin Taiwan
Akm Jahangir Alam Majumder United States
Soon Ju Kang South Korea
Daniel Cesarini Italy
James Pope United Kingdom
Bashima Islam relative to Timothy W. Hnat United States Timothy W. Hnat's profile →
Citations per field
00.5×2×4×6.4×
Timothy W. Hnat · 1×
Citations per year

Countries citing papers authored by Bashima Islam

Since Specialization
Citations

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

Fields of papers citing papers by Bashima Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201938
2 201934
3 201932
4 202131
5 202431
6 202030
7 202228
8 201827
9 201715
10 202015
11 201812
12 201811
13 202011
14 202311
15 202310
16 20189
17 20219
18 20189
19 20228
20 20238

About Bashima Islam

Bashima Islam is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Automotive Engineering, having authored 47 papers that have together received 435 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (9 papers), Speech and Audio Processing (6 papers), Age of Information Optimization (4 papers), Music and Audio Processing (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Context-Aware Activity Recognition Systems (3 papers), Video Surveillance and Tracking Methods (3 papers) and IoT Networks and Protocols (3 papers). The work is most often cited by research in Signal Processing (66 citations), Hardware and Architecture (41 citations), Computer Networks and Communications (114 citations), Computer Vision and Pattern Recognition (75 citations) and Electrical and Electronic Engineering (176 citations). Bashima Islam has collaborated with scholars based in United States, Italy and Bangladesh. Frequent co-authors include Shahriar Nirjon, Seulki Lee, Stephen Xia, Peter R. Kinget, Yubo Luo, Xiaofan Jiang, Saad Ahmed, Josiah D. Hester, Kasım Sinan Yıldırım and Jasleen Kaur. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Design and Test, IEEE Internet of Things Journal, Sensors and IEEE Journal of Biomedical and Health Informatics.

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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