Ausif Mahmood

4.3k total citations · 1 hit paper
72 papers, 2.9k citations indexed

About

Ausif Mahmood is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ausif Mahmood has authored 72 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Ausif Mahmood's work include Face recognition and analysis (12 papers), Face and Expression Recognition (7 papers) and Biometric Identification and Security (7 papers). Ausif Mahmood is often cited by papers focused on Face recognition and analysis (12 papers), Face and Expression Recognition (7 papers) and Biometric Identification and Security (7 papers). Ausif Mahmood collaborates with scholars based in United States, Saudi Arabia and Iraq. Ausif Mahmood's co-authors include Ajay Shrestha, Abdalraouf Hassan, Saleh Albelwi, Munif Alotaibi, Aziz Alotaibi, Abdelshakour Abuzneid, Hassan Musafer, Ahmed El-Sayed, Tarek Sobh and Khaled Elleithy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ausif Mahmood

65 papers receiving 2.7k citations

Hit Papers

Review of Deep Learning A... 2019 2026 2021 2023 2019 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Review of Deep Learning Algorithms and Architectures
    2019 1.3k citations Ajay Shrestha, Ausif Mahmood IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ausif Mahmood United States 20 1.0k 767 337 290 282 72 2.9k
Tareq Abed Mohammed Iraq 7 754 0.7× 708 0.9× 274 0.8× 186 0.6× 217 0.8× 18 2.7k
Saad Al-Azawi Iraq 6 733 0.7× 736 1.0× 274 0.8× 192 0.7× 234 0.8× 16 2.6k
Wenjie Yang China 7 797 0.8× 927 1.2× 347 1.0× 332 1.1× 189 0.7× 17 3.1k
Saad Albawi Iraq 8 753 0.7× 727 0.9× 260 0.8× 195 0.7× 219 0.8× 16 2.7k
Fan Liu China 22 1.1k 1.1× 1.4k 1.9× 395 1.2× 319 1.1× 303 1.1× 113 4.2k
Eyad Elyan United Kingdom 24 1.2k 1.1× 734 1.0× 329 1.0× 186 0.6× 147 0.5× 71 2.9k
Dawid Połap Poland 28 1.1k 1.1× 702 0.9× 284 0.8× 169 0.6× 145 0.5× 113 2.6k
Tom White United Kingdom 4 855 0.8× 987 1.3× 248 0.7× 166 0.6× 232 0.8× 7 2.9k
Dongbo Xi China 6 1.5k 1.5× 813 1.1× 440 1.3× 284 1.0× 223 0.8× 6 4.1k
Ming Zong China 13 930 0.9× 694 0.9× 190 0.6× 192 0.7× 166 0.6× 24 2.3k

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
1.
2.
Tokgöz, Emre, Hassan Musafer, Miad Faezipour, & Ausif Mahmood. (2023). Incorporating Derivative-Free Convexity with Trigonometric Simplex Designs for Learning-Rate Estimation of Stochastic Gradient-Descent Method. Electronics. 12(2). 419–419. 1 indexed citations
3.
Mahmood, Ausif, et al.. (2021). Optimizing Few-Shot Learning Based on Variational Autoencoders. Entropy. 23(11). 1390–1390. 5 indexed citations
4.
El-Sayed, Ahmed, et al.. (2020). Variations in Variational Autoencoders - A Comparative Evaluation. IEEE Access. 8. 153651–153670. 64 indexed citations
5.
Mahmood, Ausif, et al.. (2020). Recent Advances in Variational Autoencoders With Representation Learning for Biomedical Informatics: A Survey. IEEE Access. 9. 4939–4956. 50 indexed citations
6.
Shrestha, Ajay & Ausif Mahmood. (2019). Review of Deep Learning Algorithms and Architectures. IEEE Access. 7. 53040–53065. 1264 indexed citations breakdown →
7.
Musafer, Hassan & Ausif Mahmood. (2018). Dynamic Hassan Nelder Mead with Simplex Free Selectivity for Unconstrained Optimization. IEEE Access. 6. 39015–39026. 11 indexed citations
8.
Mahmood, Ausif, et al.. (2017). The Art of Reading Explosion Phenomena: Science and Algorithms. IEEE Access. 6. 3280–3299.
9.
Hassan, Abdalraouf & Ausif Mahmood. (2017). Efficient Deep Learning Model for Text Classification Based on Recurrent and Convolutional Layers. 1108–1113. 47 indexed citations
10.
Abuzneid, Abdelshakour, et al.. (2016). Source Anonymity in WSNs against Global Adversary Utilizing Low Transmission Rates with Delay Constraints. Sensors. 16(7). 957–957. 19 indexed citations
11.
Shrestha, Ajay & Ausif Mahmood. (2016). Improving Genetic Algorithm with Fine-Tuned Crossover and Scaled Architecture. Journal of Mathematics. 2016. 1–10. 26 indexed citations
12.
El-Sayed, Ahmed, et al.. (2014). 3D Hand Pose Detection. University of Bridgeport ScholarWorks (University of Bridgeport). 1 indexed citations
13.
Mahmood, Ausif, et al.. (2003). An efficient parallel algorithm for the inverse of a banded matrix in the maximum entropy sense. vol.4. 6–6. 1 indexed citations
14.
Mahmood, Ausif, et al.. (1997). Optimally adaptive, minimum-distance, circuit-switched routing in hypercubes. ACM Transactions on Computer Systems. 15(2). 166–193. 2 indexed citations
15.
Mahmood, Ausif, et al.. (1996). Parallel event-driven logic simulation algorithms: tutorial and comparative evaluation. IEE Proceedings - Circuits Devices and Systems. 143(4). 177–177. 8 indexed citations
16.
Mahmood, Ausif, et al.. (1992). A logic simulation engine based on a modified data flow architecture. International Conference on Computer Aided Design. 377–380. 3 indexed citations
17.
Mahmood, Ausif, et al.. (1992). An Improved Data Flow Architecture for LogicSimulation Acceleration. VLSI design. 2(3). 259–265.
18.
Mahmood, Ausif, et al.. (1991). Exact first order finite element modeling for eddy current NDE. Research in Nondestructive Evaluation. 3(4). 235–253. 1 indexed citations
19.
Mahmood, Ausif, et al.. (1991). Exact First Order Finite Element Modeling for Eddy Current NDE. Research in Nondestructive Evaluation. 3(4). 235–253. 3 indexed citations
20.
Mahmood, Ausif. (1990). An extensible multilevel logic simulator with model abstraction capabilities. Ablex Publishing Corp. eBooks. 137–190. 2 indexed citations

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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