Mohammad Abrar

980 citations
41 papers · 546 indexed · h-index 15
Topics
Brain Tumor Detection and Classification (9 papers)Network Security and Intrusion Detection (6 papers)COVID-19 diagnosis using AI (6 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
Partner nations
PakistanOmanSouth Korea

In The Last Decade

Mohammad Abrar

35 papers receiving 529 citations

Peers

Mohammad Abrar
Comparison fields: 5 of 77
  • Artificial Intelligence 216
  • Neurology 191
  • Computer Vision and Pattern Recognition 163
  • Radiology, Nuclear Medicine and Imaging 131
  • Information Systems 100
Replace Hyuk-Yoon Kwon with:
Hyuk-Yoon Kwon South Korea
Jaeyong Kang South Korea
C. Narmatha Saudi Arabia
Tariq Sadad Pakistan
Meenakshi Sharma India
Mohammad H. Alshayeji Kuwait
Dalal Bardou China
Mohd Abdul Hameed India
Khalid Masood Khan Saudi Arabia
Arfan Jaffar Pakistan
Mohammad Abrar relative to Hyuk-Yoon Kwon South Korea Hyuk-Yoon Kwon's profile →
Citations per field
00.5×
Hyuk-Yoon Kwon · 1×
Citations per year

Countries citing papers authored by Mohammad Abrar

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Abrar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Abrar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Abrar. A scholar is included among the top collaborators of Mohammad Abrar 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 Mohammad Abrar. Mohammad Abrar 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 4
2 1
3 3
4 3
5 6
6 0
7 19
8 4
9 26
10 1
11 1
12 54
13 17
14 32
15 18
16 7
17 50
18 1
19 49
20 2

About Mohammad Abrar

Mohammad Abrar is a scholar working on Neurology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 546 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (9 papers), Network Security and Intrusion Detection (6 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Neurology (191 citations), Computer Vision and Pattern Recognition (163 citations) and Health Informatics (10 citations). Mohammad Abrar has collaborated with scholars based in Pakistan, Oman and South Korea. Frequent co-authors include Faizan Ullah, Abdu Salam, Farhan Amin, Muhammad Nadeem, Raja Waseem Anwar, Hussain AlSalman, Salabat Khan, Taha Alfakih, Muna Al‐Razgan and Kim‐Kwang Raymond Choo. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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