Heba F. Eid

35 total papers · 732 total citations
23 papers, 278 citations indexed

About

Heba F. Eid is a scholar working on Artificial Intelligence, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Heba F. Eid has authored 23 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Plant Science and 5 papers in Computational Theory and Mathematics. Recurrent topics in Heba F. Eid's work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (5 papers) and Smart Agriculture and AI (4 papers). Heba F. Eid is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (5 papers) and Smart Agriculture and AI (4 papers). Heba F. Eid collaborates with scholars based in Egypt, United States and Mexico. Heba F. Eid's co-authors include Ajith Abraham, Aboul Ella Hassanien, Ashraf Darwish, Laura García‐Hernández, Tai-hoon Kim, Erik Cuevas, Mushtaq Ahmad, Mohamed Fawzy Ramadan, Muhammad Zafar and Ram Sarkar and has published in prestigious journals such as Applied Sciences, Agronomy and Mathematics and Computers in Simulation.

In The Last Decade

Heba F. Eid

23 papers receiving 266 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Heba F. Eid 155 98 49 44 43 23 278
Tarik Nahhal 68 0.4× 57 0.6× 22 0.4× 44 1.0× 37 0.9× 18 297
Ibrahim Hayatu Hassan 184 1.2× 59 0.6× 31 0.6× 22 0.5× 15 0.3× 21 282
N. Rajasekhar 72 0.5× 41 0.4× 37 0.8× 37 0.8× 9 0.2× 18 205
Amit Kumar Bairwa 72 0.5× 85 0.9× 51 1.0× 16 0.4× 14 0.3× 22 234
Khaled Badran 173 1.1× 30 0.3× 31 0.6× 20 0.5× 9 0.2× 29 293
Zheng Li 210 1.4× 81 0.8× 56 1.1× 8 0.2× 23 0.5× 23 305
Yue Pan 135 0.9× 80 0.8× 61 1.2× 16 0.4× 4 0.1× 25 326
Muhammad Zahid Abbas 72 0.5× 62 0.6× 27 0.6× 42 1.0× 22 0.5× 16 246
M. Dhivya 65 0.4× 62 0.6× 8 0.2× 51 1.2× 17 0.4× 33 314
Ranjeet Kumar Ranjan 130 0.8× 48 0.5× 37 0.8× 41 0.9× 9 0.2× 18 228

Countries citing papers authored by Heba F. Eid

Since Specialization
Citations

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

Fields of papers citing papers by Heba F. Eid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heba F. Eid. 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 Heba F. Eid. The network helps show where Heba F. Eid may publish in the future.

Co-authorship network of co-authors of Heba F. Eid

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

All Works

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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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