Luckyson Khaidem

514 total citations · 1 hit paper
4 papers, 266 citations indexed

About

Luckyson Khaidem is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luckyson Khaidem has authored 4 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Automotive Engineering, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Luckyson Khaidem's work include Medical Imaging and Analysis (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Transportation and Mobility Innovations (1 paper). Luckyson Khaidem is often cited by papers focused on Medical Imaging and Analysis (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Transportation and Mobility Innovations (1 paper). Luckyson Khaidem collaborates with scholars based in United States, India and Germany. Luckyson Khaidem's co-authors include Suryoday Basak, Sudeepa Roy Dey, Saibal Kar, Snehanshu Saha, Fan Yang, Bruno Lepri, Massimiliano Luca, Wen Dong, Xuan Gong and Wentao Zhu and has published in prestigious journals such as IEEE Access, The European Physical Journal Special Topics and The North American Journal of Economics and Finance.

In The Last Decade

Luckyson Khaidem

3 papers receiving 255 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.

Predicting the direction of stock market prices using tree-based classifiers

2018 245 citations Suryoday Basak, Saibal Kar et al. The North American Journal of Economics and Finance profile →

Peers

Luckyson Khaidem

MSOR

EE

FINAN

EEE

AI

Sudeepa Roy Dey India

Suryoday Basak United States

Pangjing Wu China

Mhamed Hamiche Morocco

Konstantinos Theofilatos Greece

Ruizhu Han China

Taewook Kim South Korea

Gabriel Vasconcelos Brazil

Ramchandra Rimal United States

Sudeepa Roy Dey India

Luckyson Khaidem

210 ×1.0

MSOR

96 ×1.0

EE

85 ×1.0

FINAN

84 ×1.0

EEE

31 ×1.1

AI

Citations per year, relative to Luckyson Khaidem Luckyson Khaidem (= 1×) peers Sudeepa Roy Dey

Countries citing papers authored by Luckyson Khaidem

Since Specialization

Citations

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

Fields of papers citing papers by Luckyson Khaidem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luckyson Khaidem

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

All Works

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4 of 4 papers shown

1.

Gong, Xuan, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, & David Doermann. (2022). Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1555–1564. 8 indexed citations

2.

Khaidem, Luckyson, et al.. (2021). Expert habitat: a colonization conjecture for exoplanetary habitability via penalized multi-objective optimization-based candidate validation. The European Physical Journal Special Topics. 230(10). 2265–2283.

3.

Khaidem, Luckyson, et al.. (2020). Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework. IEEE Access. 8. 171528–171541. 13 indexed citations

4.

Basak, Suryoday, Saibal Kar, Snehanshu Saha, Luckyson Khaidem, & Sudeepa Roy Dey. (2018). Predicting the direction of stock market prices using tree-based classifiers. The North American Journal of Economics and Finance. 47. 552–567. 245 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.

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