Ausif Mahmood

4.3k citations
72 papers · 2.9k indexed · 1 hit paper · h-index 20
Topics
Face recognition and analysis (12 papers)Face and Expression Recognition (7 papers)Biometric Identification and Security (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors

In The Last Decade

Ausif Mahmood

65 papers receiving 2.7k citations

Hit Papers

Review of Deep Learning Algorithms and Architectures201920262021202320194008001.2k

Peers

Ausif Mahmood
Comparison fields: 5 of 178
  • Artificial Intelligence 1.0k
  • Computer Vision and Pattern Recognition 767
  • Electrical and Electronic Engineering 337
  • Biomedical Engineering 290
  • Signal Processing 282
Replace Saad Al-Azawi with:
Saad Al-Azawi Iraq
Tareq Abed Mohammed Iraq
Saad Albawi Iraq
Dawid Połap Poland
Dongbo Xi China
Zhiyuan Qi China
S. Lecœuche France
Karl R. Weiss United States
Keyu Duan China
Yimin Yang China
Ausif Mahmood relative to Saad Al-Azawi Iraq Saad Al-Azawi's profile →
Citations per field
00.5×9.5×
Saad Al-Azawi · 1×
Citations per year

Countries citing papers authored by Ausif Mahmood

Since Specialization
Citations

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

Fields of papers citing papers by Ausif Mahmood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ausif Mahmood

This figure shows the co-authorship network connecting the top 25 collaborators of Ausif Mahmood. A scholar is included among the top collaborators of Ausif Mahmood 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 Ausif Mahmood. Ausif Mahmood 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 4
3 19
4 1
5 2
6 5
7 50
8 64
9
Review of Deep Learning Algorithms and Architecturesbreakdown →
1264
10 11
11 8
12 47
13 26
14 1
15 12
16
3D Hand Pose Detection
1
17 2
18 3
19 3
20
An extensible multilevel logic simulator with model abstraction capabilities
2

About Ausif Mahmood

Ausif Mahmood is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Face recognition and analysis (12 papers), Face and Expression Recognition (7 papers) and Biometric Identification and Security (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (767 citations), Artificial Intelligence (1.0k citations) and Signal Processing (282 citations). Ausif Mahmood has collaborated with scholars based in United States, Iraq and Saudi Arabia. Frequent co-authors include Ajay Shrestha, Abdalraouf Hassan, Saleh Albelwi, Munif Alotaibi, Aziz Alotaibi, Abdelshakour Abuzneid, Ahmed El-Sayed, Hassan Musafer, Tarek Sobh and Khaled Elleithy. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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