Muhammad Usama

1.5k citations
68 papers · 690 · h-index 15

Impact in

Papers in

    • Adversarial Robustness in Machine Learning 4
    • Sentiment Analysis and Opinion Mining 3
    • Speech Recognition and Synthesis 3
    • Remote-Sensing Image Classification 8

Muhammad Usama

56 papers receiving 659 citations

Peers

Muhammad Usama
Comparison fields: 5 of 133
  • Signal Processing 138
  • Media Technology 96
  • Health Informatics 11
  • Artificial Intelligence 254
  • Computer Networks and Communications 161
Replace Kanwarpartap Singh Gill with:
Kanwarpartap Singh Gill India
Sanaa Kaddoura United Arab Emirates
Muljono Muljono Indonesia
Ciro Rodríguez Peru
Dharmesh Dhabliya India
Mohammed Usman Saudi Arabia
Brojo Kishore Mishra India
Heyam H. Al-Baity Saudi Arabia
Vinit Kumar Gunjan India
Rohayanti Hassan Malaysia
Muhammad Usama relative to Kanwarpartap Singh Gill India Kanwarpartap Singh Gill's profile →
Citations per field
00.5×5.1×
Kanwarpartap Singh Gill · 1×
Citations per year

Countries citing papers authored by Muhammad Usama

Since Specialization
Citations

This map shows the geographic impact of Muhammad Usama'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 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 more than expected).

Fields of papers citing papers by Muhammad Usama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019114
2 202089
3 202145
4 202442
5 202039
6 201223
7 202023
8 201922
9 202322
10 202022
11 202117
12 202416
13 202515
14 202214
15 202414
16 201814
17 202413
18 202112
19 202211
20 202310

About Muhammad Usama

Muhammad Usama is a scholar working on Artificial Intelligence, Media Technology, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 690 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Network Security and Intrusion Detection (6 papers), Adversarial Robustness in Machine Learning (4 papers), Remote Sensing and Land Use (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Misinformation and Its Impacts (3 papers), Speech Recognition and Synthesis (3 papers) and Dental Research and COVID-19 (3 papers). The work is most often cited by research in Signal Processing (138 citations), Media Technology (96 citations), Health Informatics (11 citations), Artificial Intelligence (254 citations) and Computer Networks and Communications (161 citations). Muhammad Usama has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Junaid Qadir, Siddique Latif, Ala Al‐Fuqaha, Adnan Qayyum, Muhammad Asim, Muhammad Ahmad, Manuel Mazzara, Muhammad Shahzad Younis, Salvatore Distefano and Yehia Elkhatib. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Future Internet, Scientific Reports, Sensors and Actuators A Physical and Social Network Analysis and Mining.

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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