A. H. Hashish

545 total citations
10 papers, 441 citations indexed

About

A. H. Hashish is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Immunology. According to data from OpenAlex, A. H. Hashish has authored 10 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Modeling and Simulation and 2 papers in Immunology. Recurrent topics in A. H. Hashish's work include Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Fractional Differential Equations Solutions (3 papers) and COVID-19 epidemiological studies (2 papers). A. H. Hashish is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Fractional Differential Equations Solutions (3 papers) and COVID-19 epidemiological studies (2 papers). A. H. Hashish collaborates with scholars based in Egypt, United Arab Emirates and India. A. H. Hashish's co-authors include Fathalla A. Rihan, Hebatallah J. Alsakaji, E. Ahmed, S. Lakshmanan, R. Rakkiyappan, Qasem M. Al‐Mdallal, Mohamed A. El‐Missiry, Radwa H. Abou‐Saleh, I. M. Fouda and K.A. El-Farahaty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecotoxicology and Environmental Safety and Chaos Solitons & Fractals.

In The Last Decade

A. H. Hashish

10 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. H. Hashish Egypt	6	255	227	76	65	48	10	441
Zhixian Yu China	12	127 0.5×	293 1.3×	40 0.5×	94 1.4×		43	416
W. Clayton Thompson United States	12	95 0.4×	48 0.2×	16 0.2×	32 0.5×	11 0.2×	23	441
A. A. Romanyukha Russia	11	150 0.6×	142 0.6×	3 0.0×	52 0.8×	15 0.3×	41	497
Hardik Joshi India	14	272 1.1×	143 0.6×		26 0.4×	16 0.3×	25	470
Linhua Zhou China	7	205 0.8×	225 1.0×	12 0.2×	131 2.0×		34	365
Jeffrey J. Morgan United States	11	97 0.4×	100 0.4×	8 0.1×	72 1.1×	1 0.0×	23	292
Daniel Olmos‐Liceaga Mexico	7	198 0.8×	89 0.4×	6 0.1×	15 0.2×		22	317
Leyun Wu China	12	134 0.5×	53 0.2×	4 0.1×	42 0.6×	2 0.0×	36	399
Shanshan Chen China	20	344 1.3×	844 3.7×	5 0.1×	505 7.8×	2 0.0×	47	1.0k
Ram Singh India	10	243 1.0×	191 0.8×		32 0.5×	3 0.1×	24	333

Countries citing papers authored by A. H. Hashish

Since Specialization

Citations

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

Fields of papers citing papers by A. H. Hashish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. H. Hashish. 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 A. H. Hashish. The network helps show where A. H. Hashish may publish in the future.

Co-authorship network of co-authors of A. H. Hashish

This figure shows the co-authorship network connecting the top 25 collaborators of A. H. Hashish. A scholar is included among the top collaborators of A. H. Hashish 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 A. H. Hashish. A. H. Hashish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Alsakaji, Hebatallah J., et al.. (2024). A stochastic epidemic model with time delays and unreported cases based on Markovian switching. SHILAP Revista de lepidopterología. 6(4). 234–243. 4 indexed citations

Alsakaji, Hebatallah J., Fathalla A. Rihan, & A. H. Hashish. (2022). Dynamics of a Stochastic Epidemic Model with Vaccination and Multiple Time‐Delays for COVID‐19 in the UAE. Complexity. 2022(1). 36 indexed citations

Rihan, Fathalla A., Qasem M. Al‐Mdallal, Hebatallah J. Alsakaji, & A. H. Hashish. (2019). A fractional-order epidemic model with time-delay and nonlinear incidence rate. Chaos Solitons & Fractals. 126. 97–105. 114 indexed citations

Rihan, Fathalla A., S. Lakshmanan, A. H. Hashish, R. Rakkiyappan, & E. Ahmed. (2015). Fractional-order delayed predator–prey systems with Holling type-II functional response. Nonlinear Dynamics. 80(1-2). 777–789. 153 indexed citations

Hashish, A. H., et al.. (2009). On managing complex adaptive systems motivated by biosystems application to infections. PubMed. 3(1). 11–11. 2 indexed citations

Hashish, A. H. & E. Ahmed. (2007). Towards understanding the immune system. Theory in Biosciences. 126(2). 61–64. 1 indexed citations

Hashish, A. H., et al.. (2007). Assessment of biological changes of continuous whole body exposure to static magnetic field and extremely low frequency electromagnetic fields in mice. Ecotoxicology and Environmental Safety. 71(3). 895–902. 104 indexed citations

Ahmed, E. & A. H. Hashish. (2005). On modelling the immune system as a complex system. Theory in Biosciences. 124(3-4). 413–418. 17 indexed citations

Ahmed, E. & A. H. Hashish. (2003). On modelling of immune memory mechanisms. Theory in Biosciences. 122(4). 339–342. 3 indexed citations

10.

Hamza, A.A., I. M. Fouda, A. H. Hashish, & K.A. El-Farahaty. (1984). Measuring Refractive Indices and Birefringence of Multiple Skin Polymer Fibers from Their Interference Patterns. Textile Research Journal. 54(12). 802–807. 7 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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