Ghulam Mujtaba

41 papers receiving 669 citations

Peers

Ghulam Mujtaba
Comparison fields: 5 of 105
  • Signal Processing 212
  • Library and Information Sciences 19
  • Artificial Intelligence 287
  • Health Information Management 36
  • Experimental and Cognitive Psychology 102
Replace Khalid M.O. Nahar with:
Khalid M.O. Nahar Jordan
Ala Saleh Alluhaidan Saudi Arabia
Puneet Kumar India
Abeer Ali Alnuaim Saudi Arabia
Sifat Momen Bangladesh
K. Meenakshi India
Ibrahiem M. M. El Emary Saudi Arabia
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Citations per year

Countries citing papers authored by Ghulam Mujtaba

Since Specialization
Citations

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

Fields of papers citing papers by Ghulam Mujtaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 202180
3 202077
4 201965
5 202060
6 202249
7 202431
8 202231
9 202323
10 202418
11 201817
12 202515
13 202114
14 202213
15 201212
16 20249
17 20209
18 20237
19 20237
20 20187

About Ghulam Mujtaba

Ghulam Mujtaba is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Soil Science, having authored 54 papers that have together received 704 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Speech and Audio Processing (7 papers), Music and Audio Processing (7 papers), Emotion and Mood Recognition (4 papers), Speech Recognition and Synthesis (4 papers), Advanced Neural Network Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Signal Processing (212 citations), Library and Information Sciences (19 citations), Artificial Intelligence (287 citations), Health Information Management (36 citations) and Experimental and Cognitive Psychology (102 citations). Ghulam Mujtaba has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Rashid Jahangir, Ihsan Ali, Shafiq Ur Rehman, Murtaza Ashiq, Henry Friday Nweke, Mohammed Ali Al-Garadi, Ahmad Jalal, Teh Ying Wah, Sameem Abdul Kareem and Javed Ahmed. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Computers, materials & continua/Computers, materials & continua (Print), Expert Systems with Applications and Kuwait Journal of Science.

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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