Uzzal Kumar Acharjee

906 citations
47 papers · 589 · h-index 14

Impact in

Papers in

Uzzal Kumar Acharjee

42 papers receiving 570 citations

Peers

Uzzal Kumar Acharjee
Comparison fields: 5 of 113
  • Signal Processing 75
  • Computer Networks and Communications 145
  • Information Systems 129
  • Artificial Intelligence 187
  • Health Informatics 6
Replace S. M. K. Quadri with:
S. M. K. Quadri India
Young-Seob Jeong South Korea
Lin Ye China
Huanhuan Wang China
John M. Aronis United States
Mirko Polato Italy
Thi Ngoc Trang Tran Austria
Amjad Ali Pakistan
Sheng Zhang China
Yi Qin China
Uzzal Kumar Acharjee relative to S. M. K. Quadri India S. M. K. Quadri's profile →
Citations per field
00.5×
S. M. K. Quadri · 1×
Citations per year

Countries citing papers authored by Uzzal Kumar Acharjee

Since Specialization
Citations

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

Fields of papers citing papers by Uzzal Kumar Acharjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uzzal Kumar Acharjee. 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 Uzzal Kumar Acharjee. The network helps show where Uzzal Kumar Acharjee may publish in the future.

Co-authors

The 25 scholars most cited alongside Uzzal Kumar Acharjee, 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 Uzzal Kumar Acharjee Line = papers co-authored together Uzzal Kumar Acharjee 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 202198
2 202069
3 202347
4 202146
5 202037
6 202027
7 202223
8 202220
9 202019
10 202118
11 201917
12 202417
13 202114
14 202313
15 202013
16 202313
17 202110
18 20237
19 20207
20 20217

About Uzzal Kumar Acharjee

Uzzal Kumar Acharjee is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 47 papers that have together received 589 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Computational Drug Discovery Methods (4 papers), COVID-19 diagnosis using AI (4 papers), IoT and Edge/Fog Computing (3 papers), Network Security and Intrusion Detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Signal Processing (75 citations), Computer Networks and Communications (145 citations), Information Systems (129 citations), Artificial Intelligence (187 citations) and Health Informatics (6 citations). Uzzal Kumar Acharjee has collaborated with scholars based in Bangladesh, Australia and Saudi Arabia. Frequent co-authors include Md. Ashraf Uddin, Md. Manowarul Islam, Md. Jahidul Islam, Selina Sharmin, Md. Alamin Talukder, Sajal Halder, Md. Shafiur Rahman, Linta Islam, Md. Razaul Karim and Mehdi Sookhak. Their work appears in journals such as Scientific Reports, Journal of Biomolecular Structure and Dynamics, Cybersecurity, Development Growth & Differentiation and Journal of Infection and Public Health.

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