Javed Iqbal

545 total citations
45 papers, 389 citations indexed

About

Javed Iqbal is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Javed Iqbal has authored 45 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Numerical Analysis, 16 papers in Computational Theory and Mathematics and 16 papers in Modeling and Simulation. Recurrent topics in Javed Iqbal's work include Fractional Differential Equations Solutions (16 papers), Iterative Methods for Nonlinear Equations (15 papers) and Matrix Theory and Algorithms (15 papers). Javed Iqbal is often cited by papers focused on Fractional Differential Equations Solutions (16 papers), Iterative Methods for Nonlinear Equations (15 papers) and Matrix Theory and Algorithms (15 papers). Javed Iqbal collaborates with scholars based in Pakistan, China and Saudi Arabia. Javed Iqbal's co-authors include Muhammad Aslam Noor, Eisa Al-Said, Muhammad Arif, Khalida Inayat Noor, Asif Iqbal, Muhammad Bilal, Rashid Ali, Emad A. A. Ismail, Fuad A. Awwad and Lei Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Applied Mathematics and Computation.

In The Last Decade

Javed Iqbal

34 papers receiving 373 citations

Peers

Javed Iqbal
Comparison fields: 5 of 67
  • Numerical Analysis 225
  • Computational Theory and Mathematics 184
  • Modeling and Simulation 93
  • Statistical and Nonlinear Physics 85
  • Applied Mathematics 39
Replace Muhammad Waseem with:
Muhammad Waseem Pakistan
Anbo Le China
Yong-Ju Yang China
Anna Napoli Italy
F. Khaksar Haghani Iran
Hongbin Chen China
V. Kanwar India
Toshiyuki Koto Japan
Н. А. Сидоров Russia
Vu Hoang Linh Vietnam
Muhammad Waseem Pakistan View profile →
Citations per field, relative to Javed Iqbal
Javed Iqbal · 1×
Citations per year, relative to Javed Iqbal
Javed Iqbal · 1×

Countries citing papers authored by Javed Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Javed Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javed Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Javed Iqbal. A scholar is included among the top collaborators of Javed Iqbal 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 Javed Iqbal. Javed Iqbal 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
# Work Indexed citations
1 0
2 0
3 1
4 2
5 3
6 7
7 2
8 9
9 0
10 0
11 0
12 1
13 0
14 1
15 4
16 7
17 50
18 19
19 5
20 19

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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