Imran Siddiqi

3.5k total citations
118 papers, 2.2k citations indexed

About

Imran Siddiqi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Imran Siddiqi has authored 118 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 25 papers in Media Technology. Recurrent topics in Imran Siddiqi's work include Handwritten Text Recognition Techniques (81 papers), Image Processing and 3D Reconstruction (38 papers) and Image Retrieval and Classification Techniques (26 papers). Imran Siddiqi is often cited by papers focused on Handwritten Text Recognition Techniques (81 papers), Image Processing and 3D Reconstruction (38 papers) and Image Retrieval and Classification Techniques (26 papers). Imran Siddiqi collaborates with scholars based in Pakistan, Algeria and France. Imran Siddiqi's co-authors include Nicole Vincent, Chawki Djeddi, Momina Moetesum, Khurram Khurshid, Usman Akram, Labiba Souici‐Meslati, Abdeljalil Gattal, Claudie Faure, Saeeda Naz and Saad Bin Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Imran Siddiqi

113 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imran Siddiqi Pakistan 26 1.7k 592 570 285 139 118 2.2k
Wei‐Yen Hsu Taiwan 22 627 0.4× 225 0.4× 213 0.4× 95 0.3× 208 1.5× 83 1.5k
Saeeda Naz Pakistan 23 1.4k 0.8× 604 1.0× 711 1.2× 99 0.3× 36 0.3× 60 2.1k
Hanung Adi Nugroho Indonesia 21 616 0.4× 136 0.2× 475 0.8× 116 0.4× 173 1.2× 287 2.0k
Guee-Sang Lee South Korea 19 981 0.6× 173 0.3× 276 0.5× 178 0.6× 194 1.4× 185 1.6k
Jan van Gemert Netherlands 22 2.0k 1.2× 208 0.4× 858 1.5× 79 0.3× 130 0.9× 76 2.4k
Rubén Vera-Rodríguez Spain 25 1.5k 0.9× 114 0.2× 503 0.9× 207 0.7× 900 6.5× 111 2.5k
Tomas Pfister United States 17 1.7k 1.0× 97 0.2× 1.3k 2.2× 397 1.4× 231 1.7× 52 3.0k
AKM Azad Australia 19 272 0.2× 121 0.2× 364 0.6× 45 0.2× 74 0.5× 86 1.4k
Shuihua Wang United Kingdom 20 417 0.2× 81 0.1× 502 0.9× 57 0.2× 69 0.5× 66 1.4k
Wenqiang Zhang China 22 1.2k 0.7× 176 0.3× 610 1.1× 85 0.3× 117 0.8× 124 2.1k

Countries citing papers authored by Imran Siddiqi

Since Specialization
Citations

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

Fields of papers citing papers by Imran Siddiqi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Siddiqi

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Siddiqi. A scholar is included among the top collaborators of Imran Siddiqi 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 Imran Siddiqi. Imran Siddiqi 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.
Djeddi, Chawki, et al.. (2025). Deep multi-view feature fusion with data augmentation for improved diabetic retinopathy classification. Journal of Intelligent Systems. 34(1). 1 indexed citations
2.
Siddiqi, Imran, et al.. (2025). A big data driven multilevel deep learning framework for predicting terrorist attacks. Scientific Reports. 15(1). 23060–23060.
3.
Siddiqi, Imran, et al.. (2024). A deep learning framework for historical manuscripts writer identification using data-driven features. Multimedia Tools and Applications. 83(33). 80075–80101. 4 indexed citations
4.
Gattal, Abdeljalil, et al.. (2023). A new method for writer identification based on historical documents. Journal of Intelligent Systems. 32(1). 3 indexed citations
5.
Siddiqi, Imran, et al.. (2022). Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor. Computers in Biology and Medicine. 145. 105470–105470. 23 indexed citations
6.
Siddiqi, Imran, et al.. (2022). Feature learning and encoding for multi-script writer identification. International Journal on Document Analysis and Recognition (IJDAR). 25(2). 79–93. 9 indexed citations
7.
8.
Djeddi, Chawki, et al.. (2021). Influence of codebook patterns on writer recognition: An experimental study. Expert Systems. 38(3). 2 indexed citations
9.
Gattal, Abdeljalil, et al.. (2021). Texture feature column scheme for single‐ and multi‐script writer identification. IET Biometrics. 10(2). 179–193. 8 indexed citations
10.
Moetesum, Momina, Imran Siddiqi, Shoaib Ehsan, & Nicole Vincent. (2020). Deformation modeling and classification using deep convolutional neural networks for computerized analysis of neuropsychological drawings. Neural Computing and Applications. 32(16). 12909–12933. 12 indexed citations
11.
Siddiqi, Imran, et al.. (2019). Improving Arabic writer identification using score‐level fusion of textural descriptors. IET Biometrics. 8(3). 221–229. 19 indexed citations
12.
Moetesum, Momina, et al.. (2019). Deep Learning Based Approach for Historical Manuscript Dating. 967–972. 12 indexed citations
13.
Hassan, Shahbaz Gul, et al.. (2019). Cursive Handwritten Text Recognition using Bi-Directional LSTMs: A Case Study on Urdu Handwriting. 67–72. 20 indexed citations
14.
Moetesum, Momina, Shoaib Ehsan, Imran Siddiqi, et al.. (2017). Classification of Graphomotor Impressions Using Convolutional Neural Networks: An Application to Automated Neuro-Psychological Screening Tests. ePrints Soton (University of Southampton). 432–437. 8 indexed citations
15.
Masood, Asif, et al.. (2016). Language Independent Keyword Based Information Retrieval System of Handwritten Documents using SVM Classifier and Converting Words into Shapes. 19(2). 3 indexed citations
16.
Moetesum, Momina, et al.. (2016). Gender Classification from Offline Handwriting Images Using Textural Features. 395–398. 32 indexed citations
17.
Djeddi, Chawki, Somaya Al-Máadeed, Abdeljalil Gattal, et al.. (2015). ICDAR2015 competition on Multi-script Writer Identification and Gender Classification using ‘QUWI’ Database. Qatar University QSpace (Qatar University). 1191–1195. 21 indexed citations
18.
Moetesum, Momina, et al.. (2015). Automated scoring of Bender Gestalt Test using image analysis techniques. 13 indexed citations
19.
Siddiqi, Imran, et al.. (2013). Multilingual Artificial Text Detection Using a Cascade of Transforms. 11. 309–313. 13 indexed citations
20.
Cloppet, Florence, Véronique Églin, Hubert Emptoz, et al.. (2012). New Tools for Exploring, Analysing and Categorising Medieval Scripts. SHILAP Revista de lepidopterología. 7(0). 4 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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