H.A. Babri

1.8k total citations
43 papers, 863 citations indexed

About

H.A. Babri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, H.A. Babri has authored 43 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in H.A. Babri's work include Face and Expression Recognition (12 papers), Neural Networks and Applications (12 papers) and Text and Document Classification Technologies (9 papers). H.A. Babri is often cited by papers focused on Face and Expression Recognition (12 papers), Neural Networks and Applications (12 papers) and Text and Document Classification Technologies (9 papers). H.A. Babri collaborates with scholars based in Pakistan, Singapore and United States. H.A. Babri's co-authors include Kashif Javed, Onaiza Maqbool, Guang-Bin Huang, Abdur Rehman, Yanqiu Chen, Mehreen Saeed, Muhammad Nabeel Asim, Ata Ur Rehman, Asim Karim and Humza Naveed and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

H.A. Babri

39 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.A. Babri Pakistan 13 616 329 222 139 54 43 863
Jeff Rasley United States 11 663 1.1× 244 0.7× 378 1.7× 452 3.3× 145 2.7× 15 1.3k
Gongshen Liu China 17 602 1.0× 199 0.6× 364 1.6× 103 0.7× 35 0.6× 93 1.1k
Don‐Lin Yang Taiwan 13 203 0.3× 191 0.6× 156 0.7× 135 1.0× 30 0.6× 72 623
Ahmet Zengi̇n Türkiye 13 334 0.5× 167 0.5× 497 2.2× 202 1.5× 161 3.0× 58 923
S. Kanmani India 12 311 0.5× 392 1.2× 88 0.4× 136 1.0× 28 0.5× 62 761
Shaojin Geng China 8 210 0.3× 244 0.7× 118 0.5× 234 1.7× 70 1.3× 14 639
Atsuhiro Takasu Japan 14 371 0.6× 294 0.9× 209 0.9× 80 0.6× 13 0.2× 163 740
Basel A. Mahafzah Jordan 18 194 0.3× 132 0.4× 120 0.5× 235 1.7× 103 1.9× 34 617
Min Zhou China 14 159 0.3× 159 0.5× 151 0.7× 84 0.6× 37 0.7× 91 596
Hussein Almuallim Saudi Arabia 7 687 1.1× 254 0.8× 402 1.8× 52 0.4× 22 0.4× 19 1.1k

Countries citing papers authored by H.A. Babri

Since Specialization
Citations

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

Fields of papers citing papers by H.A. Babri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.A. Babri. 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 H.A. Babri. The network helps show where H.A. Babri may publish in the future.

Co-authorship network of co-authors of H.A. Babri

This figure shows the co-authorship network connecting the top 25 collaborators of H.A. Babri. A scholar is included among the top collaborators of H.A. Babri 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 H.A. Babri. H.A. Babri 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.
Rehman, Abdur, et al.. (2022). Binned Term Count: An Alternative to Term Frequency for Text Categorization. Mathematics. 10(21). 4124–4124. 4 indexed citations
2.
Naveed, Humza, et al.. (2021). Driver activity recognition by learning spatiotemporal features of pose and human object interaction. Journal of Visual Communication and Image Representation. 77. 103135–103135. 7 indexed citations
3.
Javed, Kashif, et al.. (2019). Classification of Degraded Traffic Signs Using Flexible Mixture Model and Transfer Learning. IEEE Access. 7. 148800–148813. 13 indexed citations
4.
Javed, Kashif, et al.. (2018). Optimized segmentation and multiscale emphasized feature extraction for traffic sign detection and recognition. Journal of Intelligent & Fuzzy Systems. 36(1). 173–188. 7 indexed citations
5.
Rehman, Abdur, Kashif Javed, H.A. Babri, & Muhammad Nabeel Asim. (2018). Selection of the most relevant terms based on a max-min ratio metric for text classification. Expert Systems with Applications. 114. 78–96. 41 indexed citations
6.
Javed, Kashif, et al.. (2017). Recognizing traffic signs using flexible Discrete Cosine Transform (DCT) grid. Scientia Iranica. 24(3). 1384–1394. 1 indexed citations
7.
Shabbir, Aqsa, et al.. (2016). Stability of Feature Ranking Algorithms on Binary Data. 1 indexed citations
8.
Rehman, Abdur, Kashif Javed, H.A. Babri, & Mehreen Saeed. (2014). Relative discrimination criterion – A novel feature ranking method for text data. Expert Systems with Applications. 42(7). 3670–3681. 58 indexed citations
9.
Javed, Kashif, H.A. Babri, & Mehreen Saeed. (2014). Impact of a metric of association between two variables on performance of filters for binary data. Neurocomputing. 143. 248–260. 10 indexed citations
10.
Saeed, Mehreen, Kashif Javed, & H.A. Babri. (2013). Machine learning using Bernoulli mixture models: Clustering, rule extraction and dimensionality reduction. Neurocomputing. 119. 366–374. 18 indexed citations
11.
Javed, Kashif, H.A. Babri, & Mehreen Saeed. (2011). Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data. IEEE Transactions on Knowledge and Data Engineering. 24(3). 465–477. 84 indexed citations
12.
Babri, H.A., et al.. (2009). Categorizing WSN's sensory data using Self Organizing Maps. 58. 1–6. 1 indexed citations
13.
Maqbool, Onaiza & H.A. Babri. (2006). A Stability Analysis of Clustering Algorithms. 314–319. 1 indexed citations
14.
Farhat, N.H. & H.A. Babri. (2003). Phase space engineering for neurodynamic target identification. 768–771. 1 indexed citations
15.
Mital, D.P., et al.. (2002). An artificial neural network approach to handwriting recognition. 1. 132–136. 3 indexed citations
16.
Huang, Guang-Bin & H.A. Babri. (2002). General approximation theorem on feedforward networks. 698–702. 13 indexed citations
17.
Babri, H.A., et al.. (2002). A stochastic backpropagation algorithm for training neural networks. 1. 703–707. 7 indexed citations
18.
Huang, Guang-Bin, Yanqiu Chen, & H.A. Babri. (2000). Classification ability of single hidden layer feedforward neural networks. IEEE Transactions on Neural Networks. 11(3). 799–801. 178 indexed citations
19.
Huang, Guang-Bin, et al.. (1998). Ordering of Self-Organizing Maps in Multidimensional Cases. Neural Computation. 10(1). 19–23. 8 indexed citations
20.
Babri, H.A., et al.. (1995). Causes and remedy of stability and convergence problems in back-propagation learning. Neural, Parallel & Scientific Computations archive. 3(3). 357–368. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026