Arif Iqbal Umar

1.4k total citations
49 papers, 978 citations indexed

About

Arif Iqbal Umar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Arif Iqbal Umar has authored 49 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Arif Iqbal Umar's work include Handwritten Text Recognition Techniques (11 papers), Cryptography and Data Security (8 papers) and Vehicle License Plate Recognition (7 papers). Arif Iqbal Umar is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Cryptography and Data Security (8 papers) and Vehicle License Plate Recognition (7 papers). Arif Iqbal Umar collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Arif Iqbal Umar's co-authors include Saeeda Naz, Imran Razzak, Syed Hamad Shirazi, Saad Bin Ahmed, Ali Imran Jehangiri, Zulfiqar Ahmad, Riaz Ahmad, Imran Siddiqi, Sardar Khaliq uz Zaman and Tahir Maqsood and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Arif Iqbal Umar

48 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arif Iqbal Umar Pakistan 18 498 351 293 246 210 49 978
Arslan Ahmad Italy 12 260 0.5× 644 1.8× 69 0.2× 75 0.3× 90 0.4× 18 884
Paul Sant United Kingdom 12 105 0.2× 125 0.4× 151 0.5× 52 0.2× 247 1.2× 42 605
Maria Indrawan Australia 13 278 0.6× 270 0.8× 140 0.5× 62 0.3× 224 1.1× 64 662
Vaibhav Bajpai Germany 17 120 0.2× 542 1.5× 208 0.7× 35 0.1× 121 0.6× 60 821
Wei Hu China 15 243 0.5× 446 1.3× 226 0.8× 34 0.1× 122 0.6× 124 1.1k
A. Kumaravel India 11 93 0.2× 300 0.9× 245 0.8× 23 0.1× 176 0.8× 51 824
Yao Shen China 14 190 0.4× 353 1.0× 215 0.7× 46 0.2× 186 0.9× 75 770
Ruhui Ma China 19 286 0.6× 458 1.3× 540 1.8× 17 0.1× 446 2.1× 104 1.3k
Kutub Thakur United States 15 164 0.3× 303 0.9× 218 0.7× 23 0.1× 246 1.2× 50 725
Mohd Hanafi Ahmad Hijazi Malaysia 17 170 0.3× 171 0.5× 351 1.2× 20 0.1× 141 0.7× 68 925

Countries citing papers authored by Arif Iqbal Umar

Since Specialization
Citations

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

Fields of papers citing papers by Arif Iqbal Umar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arif Iqbal Umar. 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 Arif Iqbal Umar. The network helps show where Arif Iqbal Umar may publish in the future.

Co-authorship network of co-authors of Arif Iqbal Umar

This figure shows the co-authorship network connecting the top 25 collaborators of Arif Iqbal Umar. A scholar is included among the top collaborators of Arif Iqbal Umar 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 Arif Iqbal Umar. Arif Iqbal Umar 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.
Shirazi, Syed Hamad, et al.. (2023). Cervical cell’s nucleus segmentation through an improved UNet architecture. PLoS ONE. 18(10). e0283568–e0283568. 17 indexed citations
2.
Ahmad, Zulfiqar, Ali Imran Jehangiri, Nader Mohamed, Мohamed Othman, & Arif Iqbal Umar. (2022). Fault Tolerant and Data Oriented Scientific Workflows Management and Scheduling System in Cloud Computing. IEEE Access. 10. 77614–77632. 7 indexed citations
3.
Umar, Arif Iqbal, et al.. (2022). Automatic eczema classification in clinical images based on hybrid deep neural network. Computers in Biology and Medicine. 147. 105807–105807. 24 indexed citations
4.
Waheed, Abdul, et al.. (2021). Novel Blind Signcryption Scheme for E-Voting System Based on Elliptic Curves. SHILAP Revista de lepidopterología. 40(2). 314–322. 7 indexed citations
5.
Ahmad, Zulfiqar, Ali Imran Jehangiri, Mohammed Alaa Ala’anzy, et al.. (2020). Dynamic Energy Efficient Resource Allocation Strategy for Load Balancing in Fog Environment. IEEE Access. 8. 199829–199839. 67 indexed citations
6.
Hayat, Khizar, et al.. (2019). Wavelet-based convolutional neural networks for gender classification. Journal of Electronic Imaging. 28(1). 1–1. 6 indexed citations
7.
Naz, Saeeda, Arif Iqbal Umar, Saad Bin Ahmed, et al.. (2018). Statistical features extraction for character recognition using recurrent neural network. Deakin Research Online (Deakin University). 34(1). 47–53. 9 indexed citations
8.
Ahmed, Saad Bin, Saeeda Naz, Salah Ud Din, et al.. (2017). UCOM offline dataset-an Urdu handwritten dataset generation. The International Arab Journal of Information Technology. 14(2). 239–245. 24 indexed citations
9.
Shirazi, Syed Hamad, et al.. (2017). Extreme learning machine based microscopic red blood cells classification. Cluster Computing. 21(1). 691–701. 29 indexed citations
10.
Naz, Saeeda, Arif Iqbal Umar, Riaz Ahmad, et al.. (2017). Urdu Nastaliq recognition using convolutional–recursive deep learning. Neurocomputing. 243. 80–87. 79 indexed citations
11.
Naz, Saeeda, Arif Iqbal Umar, & Imran Razzak. (2016). Lexicon reduction for Urdu/Arabic script based character recognition: A multilingual OCR. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Ullah, Insaf, Noor Ul Amin, Arif Iqbal Umar, & Hizbullah Khattak. (2016). Proxy Promised Signcrypion Scheme Based on Elliptic Curve Crypto System. 20(1). 167–173. 1 indexed citations
13.
Ullah, Insaf, et al.. (2016). Proxy Signcrypion Scheme Based on Hyper Elliptic Curves. 20(1). 157–166. 5 indexed citations
14.
Naz, Saeeda, Arif Iqbal Umar, Riaz Ahmed, et al.. (2016). Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks. SpringerPlus. 5(1). 2010–2010. 36 indexed citations
15.
Naz, Saeeda, Arif Iqbal Umar, & Imran Razzak. (2015). A hybrid approach for NER system for Scarce Resourced Language-URDU: Integrating n-gram with rules and gazetteers. SHILAP Revista de lepidopterología. 5 indexed citations
16.
Umar, Arif Iqbal, et al.. (2015). Anomalies Calculation and Detection in Fuel Expense through Data Mining. 6(4). 44–50. 2 indexed citations
17.
Naz, Saeeda, Arif Iqbal Umar, Riaz Ahmad, et al.. (2015). Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features. Neural Computing and Applications. 28(2). 219–231. 61 indexed citations
18.
Naz, Saeeda, et al.. (2014). The Optical Character Recognition for Cursive Script Using HMM: A Review. Research Journal of Applied Sciences Engineering and Technology. 8(19). 2016–2025. 4 indexed citations
19.
Naz, Saeeda, Arif Iqbal Umar, Syed Hamad Shirazi, et al.. (2014). Challenges of Urdu Named Entity Recognition: A Scarce Resourced Languageq. Research Journal of Applied Sciences Engineering and Technology. 8(10). 1272–1278. 20 indexed citations
20.
Umar, Arif Iqbal, et al.. (2014). Blind signcryption scheme based on elliptic curves. 51–54. 10 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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