Mohammad Kazim Khan

676 citations
35 papers · 473 indexed · h-index 12

Mohammad Kazim Khan

33 papers receiving 427 citations

Peers

Mohammad Kazim Khan
Comparison fields: 5 of 50
  • Statistics and Probability 399
  • Numerical Analysis 243
  • Applied Mathematics 219
  • Management Science and Operations Research 88
  • Mathematical Physics 65
Replace Wilczyński with:
Wilczyński Poland
Domenico Candeloro Italy
Salih Aytar Türkiye
L. Saulis Lithuania
Laura Angelonı Italy
Sin‐Ei Takahasi Japan
Vladimir Levin Russia
Palaniappan Kannappan Canada
Simon Fitzpatrick New Zealand
V. K. Dzyadyk Ukraine
Mohammad Kazim Khan relative to Wilczyński Poland Wilczyński's profile →
Citations per field
00.5×1.5×1.8×
Wilczyński · 1×
Citations per year

Countries citing papers authored by Mohammad Kazim Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Kazim Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Kazim Khan. 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 Mohammad Kazim Khan. The network helps show where Mohammad Kazim Khan may publish in the future.

Co-authorship network of co-authors of Mohammad Kazim Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Kazim Khan. A scholar is included among the top collaborators of Mohammad Kazim Khan 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 Mohammad Kazim Khan. Mohammad Kazim Khan 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
#WorkIndexed citations
1 11
2 1
3 1
4 1
5 11
6 8
7 42
8 23
9 1
10 7
11 2
12 3
13 23
14 51
15 12
16 3
17 25
18 12
19 17
20 14

About Mohammad Kazim Khan

Mohammad Kazim Khan is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics, having authored 35 papers that have together received 473 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (18 papers), Mathematical Approximation and Integration (7 papers) and Iterative Methods for Nonlinear Equations (6 papers). The work is most often cited by research in Statistics and Probability (399 citations), Numerical Analysis (243 citations) and Applied Mathematics (219 citations). Mohammad Kazim Khan has collaborated with scholars based in United States, Türkiye and Australia. Frequent co-authors include Cihan Orhan, J. A. Fridy, Oktay Duman, Hüseyi̇n Çakallı, Shunsheng Guo, Michael A. Peters, Alireza Ahmadian Yazdi, Sjef M. van der Linden, Matthew A. Brown and Muhammad Asim Khan. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of Mathematical Analysis and Applications and Proceedings of the American Mathematical Society.

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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