Assem Deif

523 citations
4 papers · 311 indexed · h-index 4

Impact in

Papers in

Journals
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (1 paper)SHILAP Revista de lepidopterología (1 paper)Medical Entomology and Zoology (1 paper)
Partner nations
EgyptSaudi Arabia

In The Last Decade

Assem Deif

4 papers receiving 283 citations

Peers

Assem Deif
Comparison fields: 5 of 65
  • Statistics, Probability and Uncertainty 87
  • Computational Theory and Mathematics 114
  • Numerical Analysis 21
  • Control and Systems Engineering 88
  • Statistical and Nonlinear Physics 42
Replace K.P. Dabke with:
K.P. Dabke Australia
F. Bailey United States
P. Vilbé France
Ching-An Lin Taiwan
Xiaowei Yang China
G. S. Christensen Canada
Badr Abou El Majd Morocco
Yong Cai China
Wu-Sheng Lu Canada
J.M. Krause United States
Assem Deif relative to K.P. Dabke Australia K.P. Dabke's profile →
Citations per field
00.5×
K.P. Dabke · 1×
Citations per year

Countries citing papers authored by Assem Deif

Since Specialization
Citations

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

Fields of papers citing papers by Assem Deif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 1 scholars most cited alongside Assem Deif, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Assem Deif Line = papers co-authored together Assem Deif links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 20213
2 199164
3
Advanced matrix theory for scientists and engineers
1990127
4 1986117

About Assem Deif

Assem Deif is a scholar working on Modeling and Simulation, Numerical Analysis, Computational Theory and Mathematics, Economics and Econometrics and Public Health, Environmental and Occupational Health, having authored 4 papers that have together received 311 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (1 paper), COVID-19 epidemiological studies (1 paper), Complex Systems and Time Series Analysis (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Numerical Methods and Algorithms (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (87 citations), Computational Theory and Mathematics (114 citations), Numerical Analysis (21 citations), Control and Systems Engineering (88 citations) and Statistical and Nonlinear Physics (42 citations). Assem Deif has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Sahar A. El‐Naggar. Their work appears in journals such as ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, SHILAP Revista de lepidopterología and Medical Entomology and Zoology.

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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