Nasimul Noman

2.7k total citations · 2 hit papers
63 papers, 1.9k citations indexed

About

Nasimul Noman is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Nasimul Noman has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 23 papers in Molecular Biology and 8 papers in Computational Theory and Mathematics. Recurrent topics in Nasimul Noman's work include Evolutionary Algorithms and Applications (24 papers), Gene Regulatory Network Analysis (19 papers) and Metaheuristic Optimization Algorithms Research (16 papers). Nasimul Noman is often cited by papers focused on Evolutionary Algorithms and Applications (24 papers), Gene Regulatory Network Analysis (19 papers) and Metaheuristic Optimization Algorithms Research (16 papers). Nasimul Noman collaborates with scholars based in Japan, Australia and Bangladesh. Nasimul Noman's co-authors include Hitoshi Iba, Pablo Moscato, Raymond Chiong, Mehdi Abedi, Rui Zhang, Ashis Kumer Biswas, Regina Berretta, M. Shahjahan Kabir, Mohammad Nazmul Haque and Danushka Bollegala and has published in prestigious journals such as Blood, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Nasimul Noman

57 papers receiving 1.8k citations

Hit Papers

Accelerating Differential Evolution Using an Adaptive Loc... 2008 2026 2014 2020 2008 2008 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Accelerating Differential Evolution Using an Adaptive Local Search
    2008 487 citations Nasimul Noman, Hitoshi Iba profile →
  2. Differential evolution for economic load dispatch problems
    2008 399 citations Nasimul Noman, Hitoshi Iba profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nasimul Noman Japan 17 873 465 460 445 162 63 1.9k
Hitoshi Iba Japan 21 1.5k 1.7× 533 1.1× 678 1.5× 578 1.3× 292 1.8× 81 2.6k
Martin A. Keane United States 16 1.0k 1.2× 302 0.6× 231 0.5× 338 0.8× 143 0.9× 47 1.4k
Forrest H Bennett United States 13 864 1.0× 271 0.6× 208 0.5× 250 0.6× 114 0.7× 26 1.2k
Kumara Sastry United States 25 1.2k 1.4× 98 0.2× 525 1.1× 147 0.3× 117 0.7× 67 1.7k
Nicholas Freitag McPhee United States 16 1.4k 1.5× 83 0.2× 257 0.6× 389 0.9× 51 0.3× 41 1.8k
Hitoshi Iba Japan 24 889 1.0× 94 0.2× 171 0.4× 426 1.0× 112 0.7× 121 1.4k
Thomas B�ck Netherlands 3 547 0.6× 204 0.4× 189 0.4× 91 0.2× 158 1.0× 3 1.0k
Robert Hinterding Australia 10 1.1k 1.3× 137 0.3× 684 1.5× 65 0.1× 149 0.9× 12 1.7k
Zhenyu Meng China 22 1.4k 1.6× 171 0.4× 880 1.9× 50 0.1× 137 0.8× 67 1.8k
Samir W. Mahfoud United States 9 925 1.1× 105 0.2× 550 1.2× 69 0.2× 103 0.6× 10 1.4k

Countries citing papers authored by Nasimul Noman

Since Specialization
Citations

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

Fields of papers citing papers by Nasimul Noman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasimul Noman

This figure shows the co-authorship network connecting the top 25 collaborators of Nasimul Noman. A scholar is included among the top collaborators of Nasimul Noman 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 Nasimul Noman. Nasimul Noman 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
1.
Li, Jianxin, Liang Qu, Taotao Cai, et al.. (2025). AI-generated content in cross-domain applications: Research trends, challenges and propositions. Knowledge-Based Systems. 330. 114634–114634.
2.
Noman, Nasimul, et al.. (2025). Factors influencing the adoption of Internet of Medical Things for remote patient monitoring: A systematic literature review. Computers in Biology and Medicine. 192(Pt B). 110142–110142.
3.
Varadharajan, Vijay, et al.. (2024). Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization. 833–845. 1 indexed citations
4.
Noman, Nasimul, et al.. (2023). A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm. Evolutionary Intelligence. 17(3). 1933–1952. 6 indexed citations
5.
Moscato, Pablo, et al.. (2023). Dynamic Depth for Better Generalization in Continued Fraction Regression. Proceedings of the Genetic and Evolutionary Computation Conference. 520–528. 4 indexed citations
6.
Mirjalili, Seyedeh Zahra, et al.. (2019). Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. Swarm and Evolutionary Computation. 51. 100579–100579. 7 indexed citations
7.
Iba, Hitoshi & Nasimul Noman. (2016). Evolutionary Computation in Gene Regulatory Network Research. 5 indexed citations
8.
Noman, Nasimul, Mara C. Inniss, Hitoshi Iba, & Jeffrey C. Way. (2016). Pulse Detecting Genetic Circuit – A New Design Approach. PLoS ONE. 11(12). e0167162–e0167162. 6 indexed citations
9.
Haque, Mohammad Nazmul, Nasimul Noman, Regina Berretta, & Pablo Moscato. (2016). Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification. PLoS ONE. 11(1). e0146116–e0146116. 54 indexed citations
10.
Noman, Nasimul, et al.. (2015). Evolving Robust Gene Regulatory Networks. PLoS ONE. 10(1). e0116258–e0116258. 25 indexed citations
11.
12.
Azad, AKM, Saima Shahid, Nasimul Noman, & Hyunju Lee. (2011). Prediction of plant promoters based on hexamers and random triplet pair analysis. Algorithms for Molecular Biology. 6(1). 19–19. 14 indexed citations
13.
Noman, Nasimul, et al.. (2011). Informative Motif Detection Using Data Mining. 1 indexed citations
14.
Bollegala, Danushka, Nasimul Noman, & Hitoshi Iba. (2011). RankDE. 1771–1778. 12 indexed citations
15.
Iba, Hitoshi & Nasimul Noman. (2011). New Frontier in Evolutionary Algorithms. IMPERIAL COLLEGE PRESS eBooks. 4 indexed citations
16.
Kabir, M. Shahjahan, Nasimul Noman, & Hitoshi Iba. (2010). Reverse engineering gene regulatory network from microarray data using linear time-variant model. BMC Bioinformatics. 11(S1). S56–S56. 58 indexed citations
17.
Biswas, Ashis Kumer, et al.. (2010). Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information. BMC Bioinformatics. 11(1). 273–273. 67 indexed citations
18.
Noman, Nasimul & Hitoshi Iba. (2007). Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(4). 634–647. 95 indexed citations
19.
Noman, Nasimul. (2007). A memetic algorithm for reconstructing gene regulatory networks from expression profile. Blood. 70(6). 1959–61. 4 indexed citations
20.
Noman, Nasimul, et al.. (2003). 3-D Visualization Software of a Gene Regulatory Network. Proceedings Genome Informatics Workshop/Genome informatics. 14. 386–387.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hitoshi Iba Breakdown of academic impact, for papers by Martin A. Keane Breakdown of academic impact, for papers by Forrest H Bennett Breakdown of academic impact, for papers by Kumara Sastry Breakdown of academic impact, for papers by Nicholas Freitag McPhee Breakdown of academic impact, for papers by Hitoshi Iba Breakdown of academic impact, for papers by Thomas B�ck Breakdown of academic impact, for papers by Robert Hinterding Breakdown of academic impact, for papers by Zhenyu Meng Breakdown of academic impact, for papers by Samir W. Mahfoud
Rankless by CCL
2026