Ashfaq Ahmad

662 citations
22 papers · 529 indexed · h-index 11
Topics
Machine Learning in Bioinformatics (4 papers)Antimicrobial Peptides and Activities (4 papers)vaccines and immunoinformatics approaches (4 papers)

In The Last Decade

Ashfaq Ahmad

20 papers receiving 524 citations

Peers

Ashfaq Ahmad
Comparison fields: 5 of 95
  • Molecular Biology 303
  • Computational Theory and Mathematics 91
  • Microbiology 69
  • Artificial Intelligence 66
  • Biomedical Engineering 33
Replace Nhat Truong Pham with:
Nhat Truong Pham South Korea
Xiaolin He China
Shunfang Wang China
Xiang Cheng China
Abhijit Kulkarni India
Ahmed Abdelmonem Hemedan Luxembourg
Jatinder Manhas India
Wei‐Jiun Lin Taiwan
Jean‐Philippe Cassar France
Yihui Luan China
Ashfaq Ahmad relative to Nhat Truong Pham South Korea Nhat Truong Pham's profile →
Citations per field
00.5×10×14.7×
Nhat Truong Pham · 1×
Citations per year

Countries citing papers authored by Ashfaq Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Ashfaq Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashfaq Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Ashfaq Ahmad. A scholar is included among the top collaborators of Ashfaq Ahmad 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 Ashfaq Ahmad. Ashfaq Ahmad 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 0
2 0
3 5
4 4
5 17
6 4
7 5
8 1
9 28
10 57
11 69
12 45
13 5
14 77
15 16
16 39
17 84
18 28
19 2
20
Development of a Solid Fuel Testing Rig Facility for Research in Coal Combustion Performance
1

About Ashfaq Ahmad

Ashfaq Ahmad is a scholar working on Geochemistry and Petrology, Microbiology and Modeling and Simulation, having authored 22 papers that have together received 529 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Antimicrobial Peptides and Activities (4 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Microbiology (69 citations), Computational Theory and Mathematics (91 citations) and Molecular Biology (303 citations). Ashfaq Ahmad has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Farman Ali, Maqsood Hayat, Shahid Akbar, Salman Khan, Muhammad Tahir, Aftab Ahmed, Muhammad Sulaiman, Ateeq Ur Rehman, Ahmad Alhindi and Abdulah Jeza Aljohani. Their work appears in journals such as Scientific Reports, IEEE Access and Marine Pollution Bulletin.

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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