Arūnas Lipnickas
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering
- Control and Systems Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Antanas VerikasKerstin MalmqvistMarija BačauskienėAdas GelžinisJózef KorbiczVidas RaudonisRimvydas SimutisVladimir Golovko
- Topics
- Industrial Vision Systems and Defect Detection (10 papers)Neural Networks and Applications (7 papers)Infrastructure Maintenance and Monitoring (6 papers)
In The Last Decade
Arūnas Lipnickas
38 papers receiving 351 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 119
- Civil and Structural Engineering 66
- Control and Systems Engineering 41
- Industrial and Manufacturing Engineering 36
Countries citing papers authored by Arūnas Lipnickas
This map shows the geographic impact of Arūnas Lipnickas'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 Arūnas Lipnickas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arūnas Lipnickas more than expected).
Fields of papers citing papers by Arūnas Lipnickas
This network shows the impact of papers produced by Arūnas Lipnickas. 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 Arūnas Lipnickas. The network helps show where Arūnas Lipnickas may publish in the future.
Co-authorship network of co-authors of Arūnas Lipnickas
This figure shows the co-authorship network connecting the top 25 collaborators of Arūnas Lipnickas. A scholar is included among the top collaborators of Arūnas Lipnickas 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 Arūnas Lipnickas. Arūnas Lipnickas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | Expert knowledge based approach for automatic sorting and packing | 2 |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Classifiers Fusion with Data Dependent Aggregation Schemes | 8 |
| 20 | Soft Fusion of Neural Classifiers | 1 |
About Arūnas Lipnickas
Arūnas Lipnickas is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 43 papers that have together received 375 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (10 papers), Neural Networks and Applications (7 papers) and Infrastructure Maintenance and Monitoring (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (119 citations), Human-Computer Interaction (28 citations) and Artificial Intelligence (141 citations). Arūnas Lipnickas has collaborated with scholars based in Lithuania, Sweden and Ukraine. Frequent co-authors include Antanas Verikas, Kerstin Malmqvist, Marija Bačauskienė, Adas Gelžinis, Józef Korbicz, Vidas Raudonis, Rimvydas Simutis, Vladimir Golovko and R. Bansevičius. Their work appears in journals such as Sensors, Knowledge-Based Systems and Pattern Recognition Letters.
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.