Mantas Lukoševičius

5.3k total citations · 2 hit papers
20 papers, 2.9k citations indexed

About

Mantas Lukoševičius is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mantas Lukoševičius has authored 20 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mantas Lukoševičius's work include Neural Networks and Reservoir Computing (11 papers), Advanced Memory and Neural Computing (10 papers) and Neural Networks and Applications (8 papers). Mantas Lukoševičius is often cited by papers focused on Neural Networks and Reservoir Computing (11 papers), Advanced Memory and Neural Computing (10 papers) and Neural Networks and Applications (8 papers). Mantas Lukoševičius collaborates with scholars based in Lithuania, Germany and Spain. Mantas Lukoševičius's co-authors include Herbert Jaeger, Dan Popovici, Benjamin Schrauwen, Vaidotas Marozas, Darius Jegelevičius, Arūnas Lukoševičius and Pablo Laguna and has published in prestigious journals such as Sensors, Neural Networks and Energies.

In The Last Decade

Mantas Lukoševičius

20 papers receiving 2.8k citations

Hit Papers

Reservoir computing approaches to recurrent neural networ... 2007 2026 2013 2019 2009 2007 500 1000 1.5k
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.

  1. Reservoir computing approaches to recurrent neural network training
    2009 1.8k citations Mantas Lukoševičius, Herbert Jaeger Computer Science Review profile →
  2. Optimization and applications of echo state networks with leaky- integrator neurons
    2007 626 citations Herbert Jaeger, Mantas Lukoševičius et al. Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mantas Lukoševičius Lithuania 11 2.5k 1.8k 858 266 201 20 2.9k
Paolo Arena Italy 21 402 0.2× 406 0.2× 380 0.4× 326 1.2× 362 1.8× 161 1.9k
Michael A. Cohen United States 10 1.2k 0.5× 430 0.2× 520 0.6× 786 3.0× 1.3k 6.4× 23 2.2k
Shuo Cai China 31 647 0.3× 1.1k 0.6× 378 0.4× 1.5k 5.8× 679 3.4× 107 2.9k
Shiping Wen China 28 511 0.2× 1.4k 0.8× 240 0.3× 791 3.0× 1.2k 5.9× 44 2.4k
Saeed Bagheri Shouraki Iran 18 453 0.2× 398 0.2× 116 0.1× 75 0.3× 114 0.6× 100 1.1k
Claudio Mattiussi Switzerland 17 690 0.3× 240 0.1× 262 0.3× 47 0.2× 69 0.3× 30 2.0k
Romis Attux Brazil 16 274 0.1× 273 0.1× 288 0.3× 131 0.5× 106 0.5× 104 895
Ákos Zarándy Hungary 20 431 0.2× 752 0.4× 149 0.2× 95 0.4× 578 2.9× 134 1.4k
Ivan Tyukin United Kingdom 18 392 0.2× 126 0.1× 255 0.3× 212 0.8× 204 1.0× 100 1.3k
Yuichi Tanaka Japan 19 636 0.3× 295 0.2× 84 0.1× 407 1.5× 103 0.5× 162 1.8k

Countries citing papers authored by Mantas Lukoševičius

Since Specialization
Citations

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

Fields of papers citing papers by Mantas Lukoševičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mantas Lukoševičius

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

All Works

20 of 20 papers shown
1.
Lukoševičius, Mantas, et al.. (2024). Extracting Sentence Embeddings from Pretrained Transformer Models. Applied Sciences. 14(19). 8887–8887. 9 indexed citations
2.
Lukoševičius, Mantas, et al.. (2022). Deep-Learning-Based Estimation of the Spatial QRS-T Angle from Reduced-Lead ECGs. Sensors. 22(14). 5414–5414. 2 indexed citations
3.
Lukoševičius, Mantas, et al.. (2021). Efficient Implementations of Echo State Network Cross-Validation. Cognitive Computation. 15(5). 1470–1484. 19 indexed citations
4.
Lukoševičius, Mantas, et al.. (2021). Tracking Basketball Shots - Preliminary Results.. KTUePubl (Repository of Kaunas University of Technology). 181–190. 1 indexed citations
5.
Lukoševičius, Mantas, et al.. (2020). Localized Convolutional Neural Networks for Geospatial Wind Forecasting. Energies. 13(13). 3440–3440. 13 indexed citations
6.
Lukoševičius, Mantas, et al.. (2019). Lithuanian news clustering using document embeddings.. 104–109. 2 indexed citations
7.
Lukoševičius, Mantas, et al.. (2018). Predicting Mozart's next note via echo state networks. KTUePubl (Repository of Kaunas University of Technology). 2147. 84–91. 1 indexed citations
8.
Lukoševičius, Mantas, et al.. (2018). Human sport activities recognition and registration from portable device. KTUePubl (Repository of Kaunas University of Technology). 2147. 61–65. 3 indexed citations
9.
Lukoševičius, Mantas & Vaidotas Marozas. (2014). Noninvasive fetal QRS detection using an echo state network and dynamic programming. Physiological Measurement. 35(8). 1685–1697. 17 indexed citations
10.
Lukoševičius, Mantas & Vaidotas Marozas. (2013). Noninvasive fetal QRS detection using Echo State Network. KTUePubl (Repository of Kaunas University of Technology). 205–208. 8 indexed citations
11.
Marozas, Vaidotas, et al.. (2013). Wearable system concept for monitoring of maternal and fetal heart activity. Lithuanian University of Health Sciences. 17(1). 1 indexed citations
12.
Lukoševičius, Mantas. (2012). Reservoir Computing and Self-Organized Neural Hierarchies. 19 indexed citations
13.
Lukoševičius, Mantas, Herbert Jaeger, & Benjamin Schrauwen. (2012). Reservoir Computing Trends. KI - Künstliche Intelligenz. 26(4). 365–371. 266 indexed citations
14.
Lukoševičius, Mantas. (2010). On self-organizing reservoirs and their hierarchies. 23 indexed citations
15.
Lukoševičius, Mantas & Herbert Jaeger. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review. 3(3). 127–149. 1836 indexed citations breakdown →
16.
Lukoševičius, Mantas. (2007). Echo State Networks with Trained Feedbacks. 19 indexed citations
17.
Jaeger, Herbert, et al.. (2007). Optimization and applications of echo state networks with leaky- integrator neurons. Neural Networks. 20(3). 335–352. 626 indexed citations breakdown →
18.
Lukoševičius, Mantas & Herbert Jaeger. (2007). Overview of Reservoir Recipes. 21 indexed citations
19.
Lukoševičius, Mantas, et al.. (2006). Time Warping Invariant Echo State Networks. 30 indexed citations
20.
Lukoševičius, Mantas, et al.. (2004). Development of teleconsultations systems for e-health.. PubMed. 105. 337–48. 4 indexed citations

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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