T.G.I. Fernando

1.4k total citations · 1 hit paper
38 papers, 997 citations indexed

About

T.G.I. Fernando is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, T.G.I. Fernando has authored 38 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in T.G.I. Fernando's work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Iterative Methods for Nonlinear Equations (6 papers). T.G.I. Fernando is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Iterative Methods for Nonlinear Equations (6 papers). T.G.I. Fernando collaborates with scholars based in Sri Lanka. T.G.I. Fernando's co-authors include Sunethra Weerakoon and D. Liyanage and has published in prestigious journals such as Applied Mathematics Letters, Swarm and Evolutionary Computation and Computing.

In The Last Decade

T.G.I. Fernando

37 papers receiving 910 citations

Hit Papers

A variant of Newton's method with accelerated third-order... 2000 2026 2008 2017 2000 200 400 600
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. A variant of Newton's method with accelerated third-order convergence
    2000 652 citations Sunethra Weerakoon, T.G.I. Fernando Applied Mathematics Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.G.I. Fernando Sri Lanka 9 635 360 196 157 93 38 997
Takahito Kuno Japan 16 529 0.8× 479 1.3× 5 0.0× 35 0.2× 64 0.7× 48 791
Zirui Zhou Canada 11 134 0.2× 90 0.3× 3 0.0× 523 3.3× 159 1.7× 26 775
Ismail Ali Australia 9 20 0.0× 72 0.2× 30 0.2× 136 0.9× 5 0.1× 27 377
Mohamad Afendee Mohamed Malaysia 17 31 0.0× 51 0.1× 27 0.1× 145 0.9× 9 0.1× 97 760
Dong Qiu China 16 23 0.0× 153 0.4× 58 0.3× 163 1.0× 3 0.0× 107 817
S. Sundhar Ram United States 11 28 0.0× 70 0.2× 20 0.1× 413 2.6× 280 3.0× 18 1.2k
Murat Ki̇ri̇şçi̇ Türkiye 14 79 0.1× 126 0.3× 8 0.0× 73 0.5× 3 0.0× 54 713
L. G. Casado Spain 14 155 0.2× 238 0.7× 1 0.0× 92 0.6× 24 0.3× 60 511
Julien Ugon Australia 14 93 0.1× 93 0.3× 1 0.0× 205 1.3× 62 0.7× 59 567
Vera Kovačevíc-Vujčić Serbia 12 57 0.1× 363 1.0× 2 0.0× 136 0.9× 14 0.2× 26 522

Countries citing papers authored by T.G.I. Fernando

Since Specialization
Citations

This map shows the geographic impact of T.G.I. Fernando'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 T.G.I. Fernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.G.I. Fernando more than expected).

Fields of papers citing papers by T.G.I. Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.G.I. Fernando. 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 T.G.I. Fernando. The network helps show where T.G.I. Fernando may publish in the future.

Co-authorship network of co-authors of T.G.I. Fernando

This figure shows the co-authorship network connecting the top 25 collaborators of T.G.I. Fernando. A scholar is included among the top collaborators of T.G.I. Fernando 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 T.G.I. Fernando. T.G.I. Fernando 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.
Fernando, T.G.I., et al.. (2024). Explainable AI for Early Lung Cancer Detection: A Path to Confidence. 13–18. 2 indexed citations
2.
3.
Liyanage, D., et al.. (2024). Telco Customer Churn Prediction Using Composite Deep Learning Technique. 402–407. 1 indexed citations
4.
Fernando, T.G.I., et al.. (2023). Explaining the Outputs of Convolutional Neural Network - Recurrent Neural Network (CNN-RNN) based Apparent Personality Detection Models using the Class Activation Maps. International Journal of Advanced Computer Science and Applications. 14(2). 2 indexed citations
5.
Fernando, T.G.I., et al.. (2022). Prediction of Potentially Hazardous Asteroids using Deep Learning. 31–36. 5 indexed citations
6.
Fernando, T.G.I., et al.. (2022). Predicting the Next Word of a Sinhala Word Series Using Recurrent Neural Networks. 13–18. 2 indexed citations
7.
Fernando, T.G.I., et al.. (2021). Deepfakes Detection Methods: A Literature Survey. 76–81. 14 indexed citations
8.
Fernando, T.G.I., et al.. (2020). Approaches Used to Recognise and Decipher Ancient Inscriptions: A Review. 23(2). 2 indexed citations
9.
10.
11.
Fernando, T.G.I., et al.. (2019). A New Multi-Objective Ant Colony Optimisation Algorithm for Solving the Quadratic Assignment Problem. 22(1). 1–1. 3 indexed citations
12.
Weerakoon, Sunethra, et al.. (2018). A self-tuning firefly algorithm to tune the parameters of ant colony system. 3(4). 309–309. 4 indexed citations
13.
Fernando, T.G.I., et al.. (2017). Random weight-based ant colony optimisation algorithm for the multi-objective optimisation problems. 3(1). 77–77. 1 indexed citations
14.
Fernando, T.G.I., et al.. (2016). Persons’ Personality Traits Recognition using Machine Learning Algorithms and Image Processing Techniques. Advances in computer science : an international journal. 5(1). 40–44. 18 indexed citations
15.
16.
Fernando, T.G.I., et al.. (2016). Wire and cable routings and harness designing systems with AI, a review. 1–6. 9 indexed citations
17.
Fernando, T.G.I., et al.. (2016). A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots. 1477–1484. 6 indexed citations
18.
Fernando, T.G.I., et al.. (2015). Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem. Swarm and Evolutionary Computation. 23. 11–26. 75 indexed citations
19.
Fernando, T.G.I., et al.. (2013). Active contour model to extract boundaries of teeth in dental X-ray images. 396–401. 8 indexed citations
20.
Weerakoon, Sunethra & T.G.I. Fernando. (2000). A variant of Newton's method with accelerated third-order convergence. Applied Mathematics Letters. 13(8). 87–93. 652 indexed citations breakdown →

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 Takahito Kuno Breakdown of academic impact, for papers by Zirui Zhou Breakdown of academic impact, for papers by Ismail Ali Breakdown of academic impact, for papers by Mohamad Afendee Mohamed Breakdown of academic impact, for papers by Dong Qiu Breakdown of academic impact, for papers by S. Sundhar Ram Breakdown of academic impact, for papers by Murat Ki̇ri̇şçi̇ Breakdown of academic impact, for papers by L. G. Casado Breakdown of academic impact, for papers by Julien Ugon Breakdown of academic impact, for papers by Vera Kovačevíc-Vujčić
Rankless by CCL
2026