Dmitrij Šešok

59 total papers · 517 total citations
41 papers, 342 citations indexed

About

Dmitrij Šešok is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dmitrij Šešok has authored 41 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Civil and Structural Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dmitrij Šešok's work include Advanced Multi-Objective Optimization Algorithms (8 papers), Mechanical and Thermal Properties Analysis (5 papers) and Multimodal Machine Learning Applications (5 papers). Dmitrij Šešok is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Mechanical and Thermal Properties Analysis (5 papers) and Multimodal Machine Learning Applications (5 papers). Dmitrij Šešok collaborates with scholars based in Lithuania, Belarus and Czechia. Dmitrij Šešok's co-authors include Audris Mockus, Arnas Kačeniauskas, Julius Žilinskas, Mikhail Y. Kovalyov, Remigijus Paulavičius, Gur Mosheiov, Rimantas Kačianauskas, Eugenijus Kurilovas, Darius Markauskas and Simona Ramanauskaitė and has published in prestigious journals such as SHILAP Revista de lepidopterología, Engineering Structures and Applied Sciences.

In The Last Decade

Dmitrij Šešok

39 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Dmitrij Šešok	123	100	80	41	28	41	342
Arūnas Lipnickas	139 1.1×	118 1.2×	66 0.8×	17 0.4×	15 0.5×	42	372
Peng Shao	124 1.0×	91 0.9×	22 0.3×	36 0.9×	43 1.5×	35	328
Andri Riid	134 1.1×	87 0.9×	55 0.7×	47 1.1×	26 0.9×	42	403
Zhongqin Bi	99 0.8×	115 1.1×	21 0.3×	33 0.8×	17 0.6×	34	346
Changliang Xu	117 1.0×	116 1.2×	26 0.3×	20 0.5×	15 0.5×	30	372
Lei Yuan	79 0.6×	46 0.5×	18 0.2×	34 0.8×	16 0.6×	53	294
Fiza Murtaza	144 1.2×	219 2.2×	104 1.3×	15 0.4×	14 0.5×	24	371
Dian Liu	49 0.4×	96 1.0×	25 0.3×	19 0.5×	13 0.5×	36	374
Alicia Fernández	74 0.6×	68 0.7×	49 0.6×	29 0.7×	8 0.3×	38	329
Qiyi He	78 0.6×	31 0.3×	44 0.6×	32 0.8×	7 0.3×	30	348

Countries citing papers authored by Dmitrij Šešok

Since Specialization

Citations

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

Fields of papers citing papers by Dmitrij Šešok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitrij Šešok

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrij Šešok. A scholar is included among the top collaborators of Dmitrij Šešok 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 Dmitrij Šešok. Dmitrij Šešok 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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