Nandar Lynn

1.2k total citations · 1 hit paper
8 papers, 974 citations indexed

About

Nandar Lynn is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Nandar Lynn has authored 8 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Nandar Lynn's work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). Nandar Lynn is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). Nandar Lynn collaborates with scholars based in Singapore, Jordan and India. Nandar Lynn's co-authors include Ponnuthurai Nagaratnam Suganthan, Mostafa Z. Ali, Lipi Mohanty, Stephen Wittkopf, Swagatam Das, Rajasekhar Anguluri, Rammohan Mallipeddi and Narasimalu Srikanth and has published in prestigious journals such as Building and Environment, Applied Soft Computing and Swarm and Evolutionary Computation.

In The Last Decade

Nandar Lynn

8 papers receiving 952 citations

Hit Papers

Heterogeneous comprehensive learning particle swarm optim... 2015 2026 2018 2022 2015 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. Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
    2015 407 citations Nandar Lynn, Ponnuthurai Nagaratnam Suganthan Swarm and Evolutionary Computation profile →

Peers

Nandar Lynn
Jarosław Arabas Poland
Qinqin Fan China
Yiying Zhang China
Marco A. Montes de Belgium
Mojtaba Khayatazad Belgium
Hongrun Wu China
Ulrich Hammel Germany
Ling Gui China
Susana Cecilia Esquivel Argentina
S. Kobayashi Japan
Jarosław Arabas Poland
Nandar Lynn
Citations per year, relative to Nandar Lynn Nandar Lynn (= 1×) peers Jarosław Arabas

Countries citing papers authored by Nandar Lynn

Since Specialization
Citations

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

Fields of papers citing papers by Nandar Lynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nandar Lynn

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

All Works

8 of 8 papers shown
1.
Lynn, Nandar, et al.. (2019). Unit commitment using time-ahead priority list and heterogeneous comprehensive learning PSO. 2279–2286. 3 indexed citations
2.
Lynn, Nandar, Mostafa Z. Ali, & Ponnuthurai Nagaratnam Suganthan. (2017). Population topologies for particle swarm optimization and differential evolution. Swarm and Evolutionary Computation. 39. 24–35. 140 indexed citations
3.
Lynn, Nandar & Ponnuthurai Nagaratnam Suganthan. (2017). Ensemble particle swarm optimizer. Applied Soft Computing. 55. 533–548. 242 indexed citations
4.
Anguluri, Rajasekhar, Nandar Lynn, Swagatam Das, & Ponnuthurai Nagaratnam Suganthan. (2016). Computing with the collective intelligence of honey bees – A survey. Swarm and Evolutionary Computation. 32. 25–48. 98 indexed citations
5.
Lynn, Nandar & Ponnuthurai Nagaratnam Suganthan. (2015). Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Swarm and Evolutionary Computation. 24. 11–24. 407 indexed citations breakdown →
6.
Lynn, Nandar & Ponnuthurai Nagaratnam Suganthan. (2015). Modified Artificial Bee Colony Algorithm with Comprehensive Learning Re-initialization Strategy. 19. 2129–2134. 2 indexed citations
7.
Lynn, Nandar & Ponnuthurai Nagaratnam Suganthan. (2013). Comprehensive learning particle swarm optimizer with guidance vector selection. 24. 80–84. 3 indexed citations
8.
Lynn, Nandar, Lipi Mohanty, & Stephen Wittkopf. (2012). Color rendering properties of semi-transparent thin-film PV modules. Building and Environment. 54. 148–158. 79 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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