Luca Lombardi

877 citations
69 papers · 428 indexed · h-index 12

Luca Lombardi

63 papers receiving 400 citations

Peers

Luca Lombardi
Comparison fields: 5 of 96
  • Conservation 42
  • Space and Planetary Science 13
  • Computer Vision and Pattern Recognition 205
  • Human-Computer Interaction 37
  • Geology 28
Replace Filareti Tsalakanidou with:
Filareti Tsalakanidou Greece
Pilar Merchán Spain
Paul Chippendale Italy
Daniël Pletinckx Italy
Jingyan Qin China
Paul Upchurch United States
Shenchang Eric Chen Israel
Marco Buzzelli Italy
Gungor Polatkan United States
Uma Mudenagudi India
Luca Lombardi relative to Filareti Tsalakanidou Greece Filareti Tsalakanidou's profile →
Citations per field
00.5×3.5×
Filareti Tsalakanidou · 1×
Citations per year

Countries citing papers authored by Luca Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20215
3 20212
4 20193
5 201911
6 201811
7 20185
8 201610
9 20153
10
Lip Tracking Towards an Automatic Lip Reading Approach.
20143
11
COMPARISONS OF VISUAL FEATURES EXTRACTION TOWARDS AUTOMATIC LIP READING
20132
12
Binary Image Compression via Monochromatic Pattern Substitution: A Sequential Speed-Up.
20111
13
Binary image compression via monochromatic pattern substitution: effectiveness and scalability
20104
14 20100
15
Speeding up Lossless Image Compression: Experimental Results on a Parallel Machine.
20082
16 20074
17 20047
18 20036
19 20028
20 199824

About Luca Lombardi

Luca Lombardi is a scholar working on Computer Vision and Pattern Recognition, Conservation and Human-Computer Interaction, having authored 69 papers that have together received 428 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Advanced Data Compression Techniques (7 papers), Algorithms and Data Compression (6 papers), Handwritten Text Recognition Techniques (6 papers), Hand Gesture Recognition Systems (6 papers), Conservation Techniques and Studies (5 papers), Cultural Heritage Materials Analysis (5 papers) and CCD and CMOS Imaging Sensors (5 papers). The work is most often cited by research in Conservation (42 citations), Space and Planetary Science (13 citations) and Computer Vision and Pattern Recognition (205 citations). Luca Lombardi has collaborated with scholars based in Italy and United States. Frequent co-authors include Luigi Cinque, Piercarlo Dondi, Virginio Cantoni, Marco Malagodi, Maurizio Licchelli, Marco Porta, Paolo Lombardi, Lin Zhan, Giovanni Manzini and Alberto Biancardi. Their work appears in journals such as Pattern Recognition Letters, Image and Vision Computing, Pattern Recognition, Multimedia Tools and Applications and Color Research & Application.

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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