Uroš Lotrič

36 total papers · 413 total citations
20 papers, 268 citations indexed

About

Uroš Lotrič is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Uroš Lotrič has authored 20 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Uroš Lotrič's work include Neural Networks and Applications (5 papers), Low-power high-performance VLSI design (4 papers) and Parallel Computing and Optimization Techniques (3 papers). Uroš Lotrič is often cited by papers focused on Neural Networks and Applications (5 papers), Low-power high-performance VLSI design (4 papers) and Parallel Computing and Optimization Techniques (3 papers). Uroš Lotrič collaborates with scholars based in Slovenia, Portugal and United States. Uroš Lotrič's co-authors include Patricio Bulić, Andrej Dobnikar, Catarina Silva, Bernardete Ribeiro, Tomaž Curk, Blaž Zupan, Mira Trebar, Janko Božič, Vladimir Risojević and Matej Artač and has published in prestigious journals such as Polymer, Sensors and BMC Bioinformatics.

In The Last Decade

Uroš Lotrič

18 papers receiving 257 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Uroš Lotrič	96	94	50	36	28	20	268
Vipin Tiwari	109 1.1×	128 1.4×	31 0.6×	25 0.7×	16 0.6×	19	298
Fan Wu	26 0.3×	85 0.9×	59 1.2×	27 0.8×	38 1.4×	34	288
H. Selvaraj	64 0.7×	56 0.6×	102 2.0×	36 1.0×	65 2.3×	27	240
Francisco Ortega-Zamorano	67 0.7×	115 1.2×	62 1.2×	20 0.6×	14 0.5×	19	275
Yixiong Yang	170 1.8×	53 0.6×	152 3.0×	15 0.4×	29 1.0×	25	310
Jing Li	46 0.5×	118 1.3×	36 0.7×	13 0.4×	9 0.3×	21	266
Metin Varan	76 0.8×	65 0.7×	99 2.0×	28 0.8×	6 0.2×	23	291
Ehsan Amiri	87 0.9×	75 0.8×	43 0.9×	23 0.6×	10 0.4×	24	296
Jie Cao	41 0.4×	115 1.2×	45 0.9×	15 0.4×	9 0.3×	19	291
Jiaying Li	21 0.2×	76 0.8×	55 1.1×	13 0.4×	23 0.8×	21	286

Countries citing papers authored by Uroš Lotrič

Since Specialization

Citations

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

Fields of papers citing papers by Uroš Lotrič

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uroš Lotrič

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

All Works

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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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