Lukas Lukas

865 citations
98 papers · 571 · h-index 12

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 9
    • Edcuational Technology Systems 7
    • Imbalanced Data Classification Techniques 5
    • Information Retrieval and Data Mining 8
    • Data Mining and Machine Learning Applications 6

Lukas Lukas

83 papers receiving 482 citations

Peers

Lukas Lukas
Comparison fields: 5 of 123
  • Artificial Intelligence 144
  • Computer Vision and Pattern Recognition 91
  • Computer Science Applications 22
  • Information Systems 70
  • Health Information Management 14
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Stephen Garner New Zealand
K. Meenakshi India
Deepali Vora India
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Citations per field
00.5×6.3×
Stephen Garner · 1×
Citations per year

Countries citing papers authored by Lukas Lukas

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Lukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lukas Lukas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lukas Lukas Line = papers co-authored together Lukas Lukas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sparse least squares Support Vector Machine classifiers.
2000100
2
The SGN VIGS Tool: User-Friendly Software to Design Virus-Induced Gene Silencing (VIGS) Constructs for Functional Genomics
201552
3 201535
4
Silent Grief: Living In The Wake Of Suicide
198727
5 201826
6 201823
7 202319
8 202318
9 202116
10 202315
11 201812
12 201911
13 202110
14 20219
15
Role of wide-field autofluorescence imaging and scanning laser ophthalmoscopy in differentiation of choroidal pigmented lesions
20149
16 20239
17 20199
18 20208
19 20208
20
Least squares support vector machines classifiers : a multi two-spiral benchmark problem
20017

About Lukas Lukas

Lukas Lukas is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Signal Processing, having authored 98 papers that have together received 571 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Information Retrieval and Data Mining (8 papers), Edcuational Technology Systems (7 papers), Data Mining and Machine Learning Applications (6 papers), Digital Marketing and Social Media (5 papers), Advanced Malware Detection Techniques (5 papers), Imbalanced Data Classification Techniques (5 papers) and Stock Market Forecasting Methods (5 papers). The work is most often cited by research in Artificial Intelligence (144 citations), Computer Vision and Pattern Recognition (91 citations), Computer Science Applications (22 citations), Information Systems (70 citations) and Health Information Management (14 citations). Lukas Lukas has collaborated with scholars based in Indonesia and Spain. Frequent co-authors include Yaya Heryadi, Johan A. K. Suykens, Joos Vandewalle, Christopher Christopher, Antoni Wibowo, Widodo Budiharto, Wayan Suparta, Bahtiar Saleh Abbas, Mueller and Harco Leslie Hendric Spits Warnars. Their work appears in journals such as Data in Brief, IEEE Access, IEEE Sensors Journal, Journal of Computer Science and TELKOMNIKA (Telecommunication Computing Electronics and Control).

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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