Nabeel Mohammed

1.4k citations
73 papers · 787 · h-index 16

Impact in

Papers in

Nabeel Mohammed

62 papers receiving 747 citations

Peers

Nabeel Mohammed
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 328
  • Media Technology 137
  • Human-Computer Interaction 54
  • Artificial Intelligence 308
  • Signal Processing 83
Replace Sellappan Palaniappan with:
Sellappan Palaniappan Malaysia
Wael Said Egypt
Salekul Islam Bangladesh
Hezerul Abdul Karim Malaysia
Jimmy Singla India
Muhammad Mostafa Monowar Saudi Arabia
Yazdan Ahmad Qadri South Korea
Elena Verdú Spain
Yushan Siriwardhana Finland
Gaurav Raj India
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Citations per field
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Sellappan Palaniappan · 1×
Citations per year

Countries citing papers authored by Nabeel Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Nabeel Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 201663
3 201759
4 201653
5 202032
6 201630
7 202225
8 202324
9 202024
10 201623
11 201821
12 202319
13 201419
14 202117
15 201717
16 202316
17 201515
18 202314
19 202314
20 201813

About Nabeel Mohammed

Nabeel Mohammed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 73 papers that have together received 787 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Handwritten Text Recognition Techniques (7 papers), Advanced Neural Network Applications (7 papers), Vehicle License Plate Recognition (6 papers), COVID-19 diagnosis using AI (6 papers), Speech Recognition and Synthesis (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (328 citations), Media Technology (137 citations), Human-Computer Interaction (54 citations), Artificial Intelligence (308 citations) and Signal Processing (83 citations). Nabeel Mohammed has collaborated with scholars based in Bangladesh, Australia and United States. Frequent co-authors include Sifat Momen, Md Shopon, Abul Kalam Al Azad, Tanzilur Rahman, Nafees Mansoor, Taseef Hasan Farook, James Dudley, Rafiqul Islam, S M A Sharif and Mohammad Ruhul Amin. Their work appears in journals such as International Journal of Medical Informatics, IEEE Access, Array, Computers in Biology and Medicine and Applied Sciences.

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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