Rakesh Katuwal

829 total citations · 1 hit paper
10 papers, 590 citations indexed

About

Rakesh Katuwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Rakesh Katuwal has authored 10 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Rakesh Katuwal's work include Machine Learning and ELM (8 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (6 papers). Rakesh Katuwal is often cited by papers focused on Machine Learning and ELM (8 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (6 papers). Rakesh Katuwal collaborates with scholars based in Singapore, Qatar and India. Rakesh Katuwal's co-authors include Ponnuthurai Nagaratnam Suganthan, Le Zhang, M. Tanveer, Minghui Hu and Xueheng Qiu and has published in prestigious journals such as Pattern Recognition, Applied Soft Computing and Procedia Computer Science.

In The Last Decade

Rakesh Katuwal

10 papers receiving 582 citations

Hit Papers

align trajectories

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.

Random vector functional link neural network based ensemble deep learning

2021 196 citations Rakesh Katuwal, Ponnuthurai Nagaratnam Suganthan et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rakesh Katuwal Singapore	9	368	162	99	62	42	10	590
Abu Sarwar Zamani Saudi Arabia	17	279 0.8×	153 0.9×	82 0.8×	61 1.0×	43 1.0×	90	862
Belal Al‐Khateeb Iraq	15	396 1.1×	119 0.7×	73 0.7×	57 0.9×	32 0.8×	66	743
André Luis Debiaso Rossi Brazil	11	361 1.0×	100 0.6×	69 0.7×	18 0.3×	55 1.3×	32	720
Zixing Song Hong Kong	10	492 1.3×	255 1.6×	52 0.5×	34 0.5×	38 0.9×	15	879
Jin Gou China	14	255 0.7×	84 0.5×	49 0.5×	55 0.9×	57 1.4×	58	603
Gwang-Hoon Park South Korea	3	603 1.6×	254 1.6×	173 1.7×	41 0.7×	125 3.0×	4	841
Samah Alshathri Saudi Arabia	17	255 0.7×	98 0.6×	161 1.6×	28 0.5×	42 1.0×	57	715
Habib Dhahri Saudi Arabia	17	383 1.0×	97 0.6×	77 0.8×	49 0.8×	55 1.3×	46	675
Akey Sungheetha India	12	169 0.5×	214 1.3×	108 1.1×	50 0.8×	27 0.6×	84	683
Martin A. Kraaijveld Netherlands	8	457 1.2×	243 1.5×	95 1.0×	16 0.3×	68 1.6×	22	801

Countries citing papers authored by Rakesh Katuwal

Since Specialization

Citations

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

Fields of papers citing papers by Rakesh Katuwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Katuwal

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

All Works

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10 of 10 papers shown

1.

Hu, Minghui, et al.. (2022). Weighting and pruning based ensemble deep random vector functional link network for tabular data classification. Pattern Recognition. 132. 108879–108879. 26 indexed citations

2.

Katuwal, Rakesh, et al.. (2021). Random vector functional link neural network based ensemble deep learning. Pattern Recognition. 117. 107978–107978. 196 indexed citations breakdown →

3.

Suganthan, Ponnuthurai Nagaratnam & Rakesh Katuwal. (2021). On the origins of randomization-based feedforward neural networks. Applied Soft Computing. 105. 107239–107239. 101 indexed citations

4.

Suganthan, Ponnuthurai Nagaratnam, et al.. (2021). Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features. Applied Soft Computing. 112. 107826–107826. 43 indexed citations

5.

Katuwal, Rakesh, Ponnuthurai Nagaratnam Suganthan, & Le Zhang. (2019). Heterogeneous oblique random forest. Pattern Recognition. 99. 107078–107078. 88 indexed citations

6.

Katuwal, Rakesh & Ponnuthurai Nagaratnam Suganthan. (2018). Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. 1–8. 16 indexed citations

7.

Katuwal, Rakesh & Ponnuthurai Nagaratnam Suganthan. (2018). Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network. 1772–1778. 11 indexed citations

8.

Katuwal, Rakesh & Ponnuthurai Nagaratnam Suganthan. (2017). An Ensemble of Kernel Ridge Regression for Multi-class Classification. Procedia Computer Science. 108. 375–383. 39 indexed citations

9.

Katuwal, Rakesh, et al.. (2017). A heterogeneous ensemble of trees. 1–6. 3 indexed citations

10.

Katuwal, Rakesh, Ponnuthurai Nagaratnam Suganthan, & Le Zhang. (2017). An ensemble of decision trees with random vector functional link networks for multi-class classification. Applied Soft Computing. 70. 1146–1153. 67 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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