Mohd Saqib

423 citations
16 papers · 236 · h-index 9

Impact in

  • Software top 10%
    • Software Reliability and Analysis Research
  • Geophysics top 10%
    • Earthquake Detection and Analysis
    • earthquake and tectonic studies

Papers in

    • Anomaly Detection Techniques and Applications 3
    • Seismology and Earthquake Studies 3
    • Earthquake Detection and Analysis 6
    • earthquake and tectonic studies 5

Mohd Saqib

14 papers receiving 232 citations

Peers

Mohd Saqib
Comparison fields: 5 of 70
  • Software 28
  • Geophysics 83
  • Modeling and Simulation 10
  • Artificial Intelligence 70
  • Astronomy and Astrophysics 34
Replace Tong Shen with:
Tong Shen China
Enrico Ragaini Italy
Kunal Banerjee India
Shashank Sahu India
Alok Agarwal India
Philippe Herrmann France
Mohamad Huzaimy Jusoh Malaysia
Robert E. Reinke United States
José Piquer Chile
Emilien Dupont United Kingdom
Mohd Saqib relative to Tong Shen China Tong Shen's profile →
Citations per field
00.5×10×17×
Tong Shen · 1×
Citations per year

Countries citing papers authored by Mohd Saqib

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Saqib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Mohd Saqib, 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 Mohd Saqib Line = papers co-authored together Mohd Saqib links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202149
2 202040
3 202024
4 201723
5 202122
6 202220
7 202119
8 202214
9 202413
10 20246
11 20242
12 20242
13 20241
14 20211
15 20250
16 20250

About Mohd Saqib

Mohd Saqib is a scholar working on Artificial Intelligence, Geophysics, Information Systems, Computer Networks and Communications and Signal Processing, having authored 16 papers that have together received 236 indexed citations. Recurring topics across this work include Earthquake Detection and Analysis (6 papers), earthquake and tectonic studies (5 papers), Anomaly Detection Techniques and Applications (3 papers), Seismology and Earthquake Studies (3 papers), Software Engineering Research (3 papers), COVID-19 epidemiological studies (2 papers), Digital and Cyber Forensics (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Software (28 citations), Geophysics (83 citations), Modeling and Simulation (10 citations), Artificial Intelligence (70 citations) and Astronomy and Astrophysics (34 citations). Mohd Saqib has collaborated with scholars based in India, Türkiye and Canada. Frequent co-authors include Erman Şentürk, Sanjeev A. Sahu, Mohammad Saad Alam, Md. Muzakkir Hussain, M. M. Sufyan Beg, Philippe Charland, Benjamin C. M. Fung, Munawar Shah, Samaneh Mahdavifar and Mohamed Freeshah. Their work appears in journals such as Advances in Space Research, Applied Intelligence, ACM Computing Surveys, Journal of Asian Earth Sciences and Earth Systems and Environment.

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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