Muhammad Tahir

2.0k citations
46 papers · 1.5k indexed · h-index 21
Topics
Machine Learning in Bioinformatics (26 papers)RNA and protein synthesis mechanisms (22 papers)Genomics and Phylogenetic Studies (14 papers)

In The Last Decade

Muhammad Tahir

44 papers receiving 1.4k citations

Peers

Muhammad Tahir
Comparison fields: 5 of 120
  • Molecular Biology 1.0k
  • Artificial Intelligence 202
  • Health Information Management 122
  • Cancer Research 105
  • Computational Theory and Mathematics 101
Replace Shahid Akbar with:
Shahid Akbar Pakistan
Burcu Bakır-Güngör Türkiye
Hao Lv China
Katherine M. Collins United Kingdom
Daniel Berrar Japan
Shixiang Wan China
Abhinav Kumar India
Zhongxiao Li Saudi Arabia
Quang‐Thai Ho Taiwan
Zhao‐Yue Zhang China
Muhammad Tahir relative to Shahid Akbar Pakistan Shahid Akbar's profile →
Citations per field
00.5×10×15×17.5×
Shahid Akbar · 1×
Citations per year

Countries citing papers authored by Muhammad Tahir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Tahir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Tahir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Tahir. A scholar is included among the top collaborators of Muhammad Tahir 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 Tahir. Muhammad Tahir 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
#WorkIndexed citations
1 5
2 0
3 5
4 33
5 6
6 42
7 16
8 8
9 2
10 129
11 31
12 77
13 44
14 92
15 56
16 31
17 47
18 92
19
A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT
5
20 29

About Muhammad Tahir

Muhammad Tahir is a scholar working on Microbiology, Health Information Management and Molecular Biology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (26 papers), RNA and protein synthesis mechanisms (22 papers) and Genomics and Phylogenetic Studies (14 papers). The work is most often cited by research in Health Information Management (122 citations), Molecular Biology (1.0k citations) and Microbiology (93 citations). Muhammad Tahir has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Maqsood Hayat, Kil To Chong, Hilal Tayara, Shahid Akbar, Salman Khan, Yar Muhammad, Farman Ali, Ashfaq Ahmad, Sher Afzal Khan and Fawaz Khaled Alarfaj. Their work appears in journals such as Scientific Reports, IEEE Access and Journal of Theoretical Biology.

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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