Haitham Seada

597 total citations
11 papers, 301 citations indexed

About

Haitham Seada is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Haitham Seada has authored 11 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Haitham Seada's work include Advanced Multi-Objective Optimization Algorithms (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Optimal Experimental Design Methods (4 papers). Haitham Seada is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Optimal Experimental Design Methods (4 papers). Haitham Seada collaborates with scholars based in United States, Egypt and United Kingdom. Haitham Seada's co-authors include Kalyanmoy Deb, Mohamed Abouhawwash, Sunith Bandaru, Julian Blank, Yashesh Dhebar, Youssef A. Kousa, Brian C. Schutte, Tamer Mansour, Siqian Shen and Patrick M. Reed and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Evolutionary Computation and Computers & Operations Research.

In The Last Decade

Haitham Seada

11 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haitham Seada United States	8	156	127	52	26	24	11	301
Chunteng Bao China	8	183 1.2×	186 1.5×	30 0.6×	22 0.8×	35 1.5×	15	322
Ting‐Yu Chen Taiwan	11	107 0.7×	56 0.4×	15 0.3×	22 0.8×	21 0.9×	29	332
Yeboon Yun Japan	6	85 0.5×	65 0.5×	45 0.9×	18 0.7×	14 0.6×	28	227
Fei Zou China	6	156 1.0×	167 1.3×	19 0.4×	23 0.9×	27 1.1×	23	336
Kiarash Biabani Hamedani Iran	11	138 0.9×	133 1.0×	12 0.2×	19 0.7×	23 1.0×	21	379
Xuelei Meng China	8	48 0.3×	128 1.0×	12 0.2×	24 0.9×	96 4.0×	31	299
Guoyu Chen China	9	160 1.0×	151 1.2×	30 0.6×	34 1.3×	16 0.7×	31	349
Ji-Hyeong Han South Korea	9	52 0.3×	71 0.6×	27 0.5×	24 0.9×	21 0.9×	32	270
Ying Tao United States	7	31 0.2×	62 0.5×	54 1.0×	125 4.8×	10 0.4×	15	413
Philipp Limbourg Germany	9	127 0.8×	98 0.8×	48 0.9×	18 0.7×	22 0.9×	14	391

Countries citing papers authored by Haitham Seada

Since Specialization

Citations

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

Fields of papers citing papers by Haitham Seada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haitham Seada

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

All Works

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11 of 11 papers shown

Li, Hui, Haitham Seada, Fengcheng Li, et al.. (2024). Machine learning-assisted high-content imaging analysis of 3D MCF7 microtissues for estrogenic effect prediction. Scientific Reports. 14(1). 2999–2999. 2 indexed citations

Hadka, David, et al.. (2024). Diagnostic benchmarking of many-objective evolutionary algorithms for real-world problems. Engineering Optimization. 57(1). 287–308. 3 indexed citations

Shen, Siqian, et al.. (2022). Time window optimization for attended home service delivery under multiple sources of uncertainties. Computers & Operations Research. 150. 106045–106045. 11 indexed citations

Blank, Julian, Kalyanmoy Deb, Yashesh Dhebar, Sunith Bandaru, & Haitham Seada. (2020). Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 25(1). 48–60. 54 indexed citations

Seada, Haitham, Mohamed Abouhawwash, & Kalyanmoy Deb. (2018). Multiphase Balance of Diversity and Convergence in Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 23(3). 503–513. 45 indexed citations

Deb, Kalyanmoy, Mohamed Abouhawwash, & Haitham Seada. (2017). A Computationally Fast Convergence Measure and Implementation for Single-, Multiple-, and Many-Objective Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 1(4). 280–293. 17 indexed citations

Seada, Haitham, Mohamed Abouhawwash, & Kalyanmoy Deb. (2016). Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches. 77–78. 6 indexed citations

Abouhawwash, Mohamed, Haitham Seada, & Kalyanmoy Deb. (2016). Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search. Computers & Operations Research. 79. 331–346. 22 indexed citations

Kousa, Youssef A., et al.. (2016). Shared molecular networks in orofacial and neural tube development. Birth Defects Research. 109(2). 169–179. 18 indexed citations

10.

Seada, Haitham & Kalyanmoy Deb. (2015). A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives. IEEE Transactions on Evolutionary Computation. 20(3). 358–369. 113 indexed citations

11.

Seada, Haitham & Kalyanmoy Deb. (2015). Effect of selection operator on NSGA-III in single, multi, and many-objective optimization. 2915–2922. 10 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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