J. Lukáš

1.5k citations
36 papers · 1.1k · h-index 14

Impact in

Papers in

    • Insect Pest Control Strategies 6
    • Insect-Plant Interactions and Control 5
    • Insect and Pesticide Research 5

J. Lukáš

35 papers receiving 1.0k citations

Peers

J. Lukáš
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 618
  • Media Technology 230
  • Insect Science 222
  • Law 91
  • Biophysics 49
Replace Wen‐Yen Wu with:
Wen‐Yen Wu Taiwan
Masayuki Sugawara Japan
Rafael Redondo Spain
Jianlong Zhang China
L.F. Costa Brazil
Marco Seeland Germany
Zanoni Dias Brazil
Kim Bjerge Denmark
Yosuke Tamada Japan
Donatella Balduzzi Italy
J. Lukáš relative to Wen‐Yen Wu Taiwan Wen‐Yen Wu's profile →
Citations per field
00.5×12.3×
Wen‐Yen Wu · 1×
Citations per year

Countries citing papers authored by J. Lukáš

Since Specialization
Citations

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

Fields of papers citing papers by J. Lukáš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Lukáš, 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 J. Lukáš Line = papers co-authored together J. Lukáš links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimation of Primary Quantization Matrix in Double Compressed JPEG Images
2003247
2 2006204
3 2007106
4 200974
5 200364
6 200860
7 201645
8 200538
9 200828
10 200627
11 201022
12 200616
13 200815
14 200415
15 201013
16 202012
17 201112
18 200311
19 201311
20 20179

About J. Lukáš

J. Lukáš is a scholar working on Plant Science, Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Insect Pest Control Strategies (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Insect-Plant Interactions and Control (5 papers), Insect and Pesticide Research (5 papers), Digital Media Forensic Detection (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Metal and Thin Film Mechanics (3 papers) and Physiological and biochemical adaptations (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (618 citations), Media Technology (230 citations), Insect Science (222 citations), Law (91 citations) and Biophysics (49 citations). J. Lukáš has collaborated with scholars based in Czechia, United States and Taiwan. Frequent co-authors include Miroslav Goljan, Jessica Fridrich, P. Kudláček, J. Vlček, Mo Chen, Václav Stejskal, E. Žd’árková, Zuzana Kučerová, K. Sláma and Jan Hubert. Their work appears in journals such as Entomologia Experimentalis et Applicata, Plasma Sources Science and Technology, Scientific Reports, Journal of Insect Physiology and Weed Research.

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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