Muhammad Usama Islam

576 total citations
24 papers, 319 citations indexed

About

Muhammad Usama Islam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Muhammad Usama Islam has authored 24 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Plant Science. Recurrent topics in Muhammad Usama Islam's work include Smart Agriculture and AI (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Muhammad Usama Islam is often cited by papers focused on Smart Agriculture and AI (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Muhammad Usama Islam collaborates with scholars based in United States, Bangladesh and United Kingdom. Muhammad Usama Islam's co-authors include Faisal Bin Ashraf, Jasim Uddin, Hasan Mahmud, Md. Kamrul Hasan, Md. Mahadi Hasan, Wai-keung Fung, Beenish Moalla Chaudhry, Abdul Matin, Md. Mahadi Hasan and Tasnim Ahmed and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Muhammad Usama Islam

23 papers receiving 292 citations

Peers

Muhammad Usama Islam
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 97
  • Artificial Intelligence 65
  • Human-Computer Interaction 54
  • Electrical and Electronic Engineering 40
  • Control and Systems Engineering 36
Replace S. Navaneethan with:
S. Navaneethan India
Ajay Sudhir Bale India
Muhammad Munsif Pakistan
Sachin Deshpande United States
Yi Ji China
G. Suseendran India
Zaid Bassfar Saudi Arabia
Faisal Bin Ashraf Bangladesh
Ibrahiem M. M. El Emary Saudi Arabia
Md. Sanzidul Islam Bangladesh
S. Navaneethan India View profile →
Citations per field, relative to Muhammad Usama Islam
Muhammad Usama Islam · 1×
Citations per year, relative to Muhammad Usama Islam
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Countries citing papers authored by Muhammad Usama Islam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Usama Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Usama Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Usama Islam. A scholar is included among the top collaborators of Muhammad Usama Islam 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 Muhammad Usama Islam. Muhammad Usama Islam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 1
5 34
6 9
7 8
8 33
9 15
10 4
11 4
12 14
13 17
14 12
15 23
16 4
17 4
18 18
19 8
20 68

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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