Mohammed Javed

1.5k total citations
53 papers, 945 citations indexed

About

Mohammed Javed is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mohammed Javed has authored 53 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Mohammed Javed's work include Handwritten Text Recognition Techniques (10 papers), Advanced Data Compression Techniques (9 papers) and Image Retrieval and Classification Techniques (8 papers). Mohammed Javed is often cited by papers focused on Handwritten Text Recognition Techniques (10 papers), Advanced Data Compression Techniques (9 papers) and Image Retrieval and Classification Techniques (8 papers). Mohammed Javed collaborates with scholars based in India, Pakistan and Zimbabwe. Mohammed Javed's co-authors include Aamer Nadeem, Muhammad Usman Akram, A. Basit, Anam Tariq, Shehzad Khalid, Anam Tariq, Muhammad Almas Anjum, Shoab Ahmed Khan, Karim Afdel and P. Nagabhushan and has published in prestigious journals such as IEEE Access, Fuzzy Sets and Systems and Journal of Electroanalytical Chemistry.

In The Last Decade

Mohammed Javed

47 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Javed India 14 563 266 251 201 176 53 945
Mohd Hanafi Ahmad Hijazi Malaysia 17 170 0.3× 351 1.3× 307 1.2× 94 0.5× 49 0.3× 68 925
Sa’ed Abed Kuwait 15 226 0.4× 229 0.9× 122 0.5× 47 0.2× 62 0.4× 90 693
Shyr-Shen Yu Taiwan 13 280 0.5× 326 1.2× 140 0.6× 53 0.3× 44 0.3× 79 715
Haibo Mi China 12 115 0.2× 157 0.6× 176 0.7× 115 0.6× 27 0.2× 36 665
Di Li China 9 191 0.3× 85 0.3× 161 0.6× 95 0.5× 15 0.1× 27 467
Muhammad Nazir Pakistan 21 452 0.8× 369 1.4× 212 0.8× 5 0.0× 83 0.5× 53 1.0k
Sameh A. Salem Egypt 12 102 0.2× 95 0.4× 87 0.3× 54 0.3× 27 0.2× 53 430
Jonathan Goh Singapore 11 319 0.6× 237 0.9× 28 0.1× 25 0.1× 279 1.6× 15 693
Varghese Paul India 10 345 0.6× 195 0.7× 29 0.1× 11 0.1× 58 0.3× 64 685
A. Kumaravel India 11 93 0.2× 245 0.9× 50 0.2× 10 0.0× 59 0.3× 51 824

Countries citing papers authored by Mohammed Javed

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Javed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Javed

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Javed. A scholar is included among the top collaborators of Mohammed Javed 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 Mohammed Javed. Mohammed Javed 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.
Iqbal, Muhammad Zahir, et al.. (2024). Transition metal-assisted layer-by-layer binder free deposition for high-performance energy storage devices. Journal of Electroanalytical Chemistry. 975. 118766–118766. 1 indexed citations
2.
Rani, N. Shobha, et al.. (2024). Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning. IEEE Access. 13. 14922–14948. 2 indexed citations
3.
Iqbal, Muhammad Zahir, et al.. (2024). Elucidating the synergy of layer-by-layer TMDC-TMN deposition for superior electrochemical performance in supercapattery devices. Materials Today Sustainability. 29. 101063–101063. 1 indexed citations
4.
Giri, Kaiser J., et al.. (2024). Small object detection in diverse application landscapes: a survey. Multimedia Tools and Applications. 83(41). 88645–88680. 11 indexed citations
5.
Javed, Mohammed, et al.. (2024). Swin-chart: An efficient approach for chart classification. Pattern Recognition Letters. 185. 203–209.
6.
Javed, Mohammed, et al.. (2023). Design of Six Seater Electrical Vehicle (Golf Cart). Evergreen. 10(2). 953–961. 1 indexed citations
7.
Javed, Mohammed, et al.. (2022). FastSS: Fast and smooth segmentation of JPEG compressed printed text documents using DC and AC signal analysis. Multimedia Tools and Applications. 82(6). 8855–8881.
8.
Javed, Mohammed, et al.. (2021). HH-CompWordNet: Holistic Handwritten Word Recognition in the Compressed Domain. 362–362. 1 indexed citations
9.
Javed, Mohammed, et al.. (2020). Automatic tracing and extraction of text‐line and word segments directly in JPEG compressed document images. IET Image Processing. 14(9). 1909–1919. 4 indexed citations
10.
Javed, Mohammed, P. Nagabhushan, B.B. Chaudhuri, & Satish Kumar Singh. (2018). Edge based enhancement of retinal images using an efficient JPEG-compressed domain technique. Journal of Intelligent & Fuzzy Systems. 36(1). 541–556. 4 indexed citations
11.
Akram, Muhammad Usman, et al.. (2015). Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques. Australasian Physical & Engineering Sciences in Medicine. 38(4). 643–655. 52 indexed citations
12.
Nagabhushan, P., et al.. (2015). Automatic Removal of Handwritten Annotations from Between-text-lines and Inside-text-line Regions of a Printed Text Document. Procedia Computer Science. 45. 205–214. 2 indexed citations
13.
Akram, Muhammad Usman, Anam Tariq, Shoab Ahmed Khan, & Mohammed Javed. (2014). Automated detection of exudates and macula for grading of diabetic macular edema. Computer Methods and Programs in Biomedicine. 114(2). 141–152. 85 indexed citations
14.
Bashir, Saba, Usman Qamar, Farhan Hassan Khan, & Mohammed Javed. (2014). MV5: A Clinical Decision Support Framework for Heart Disease Prediction Using Majority Vote Based Classifier Ensemble. Arabian Journal for Science and Engineering. 39(11). 7771–7783. 51 indexed citations
15.
Akram, Muhammad Usman, Shehzad Khalid, Anam Tariq, & Mohammed Javed. (2013). Detection of neovascularization in retinal images using multivariate m-Mediods based classifier. Computerized Medical Imaging and Graphics. 37(5-6). 346–357. 59 indexed citations
16.
Akram, Muhammad Usman, Anam Tariq, Muhammad Almas Anjum, & Mohammed Javed. (2012). Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy. Applied Optics. 51(20). 4858–4858. 43 indexed citations
17.
Javed, Mohammed, et al.. (2012). Context Inference Engine (CiE). RePEc: Research Papers in Economics. 4(3). 13–41. 8 indexed citations
18.
Altaf, Ayesha, et al.. (2008). Security Enhancements for Privacy and Key Management Protocol in IEEE 802.16e-2005. 335–339. 15 indexed citations
19.
Anjum, Muhammad Almas, et al.. (2008). A New Approach To Face Recognition Using Dual Dimension Reduction. Zenodo (CERN European Organization for Nuclear Research). 2(7). 2519–2524. 5 indexed citations
20.
Basit, A. & Mohammed Javed. (2007). Localization of iris in gray scale images using intensity gradient. Optics and Lasers in Engineering. 45(12). 1107–1114. 40 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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