Andrei Vasilăţeanu

108 total papers · 507 total citations
74 papers, 306 citations indexed

About

Andrei Vasilăţeanu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Andrei Vasilăţeanu has authored 74 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Andrei Vasilăţeanu's work include IoT and Edge/Fog Computing (10 papers), Context-Aware Activity Recognition Systems (8 papers) and Dental Radiography and Imaging (7 papers). Andrei Vasilăţeanu is often cited by papers focused on IoT and Edge/Fog Computing (10 papers), Context-Aware Activity Recognition Systems (8 papers) and Dental Radiography and Imaging (7 papers). Andrei Vasilăţeanu collaborates with scholars based in Romania, Netherlands and United States. Andrei Vasilăţeanu's co-authors include Nicolae Goga, Robert Ancuceanu, George Drăgoi, Leonhard Mayrhofer, David Cuesta–Frau, C Ionescu-Tîrgovişte, Simona Dima, Diana Popescu, Paul A. Gagniuc and Irinel Popescu and has published in prestigious journals such as Expert Systems with Applications, Sensors and Applied Sciences.

In The Last Decade

Andrei Vasilăţeanu

67 papers receiving 295 citations

Author Peers

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

Author Last Decade Papers Cites
Andrei Vasilăţeanu 69 50 49 43 37 74 306
Carmelo Pino 76 1.1× 13 0.3× 29 0.6× 48 1.1× 35 0.9× 45 255
Ovidiu Stan 30 0.4× 34 0.7× 42 0.9× 46 1.1× 35 0.9× 66 261
Nashrul Hakiem 32 0.5× 36 0.7× 58 1.2× 90 2.1× 89 2.4× 60 273
Nicholas Vretos 168 2.4× 10 0.2× 16 0.3× 77 1.8× 22 0.6× 50 360
Miguel Á. García-Ruiz 50 0.7× 16 0.3× 48 1.0× 30 0.7× 57 1.5× 48 278
Abhishek Thakur 118 1.7× 71 1.4× 32 0.7× 49 1.1× 19 0.5× 62 335
Po‐Hsun Cheng 62 0.9× 28 0.6× 53 1.1× 94 2.2× 97 2.6× 53 353
Ahmad Sami Al‐Shamayleh 60 0.9× 29 0.6× 58 1.2× 61 1.4× 36 1.0× 51 315
Zhenglin Li 101 1.5× 40 0.8× 28 0.6× 56 1.3× 15 0.4× 37 331
R. Raja Subramanian 105 1.5× 28 0.6× 16 0.3× 131 3.0× 29 0.8× 59 329

Countries citing papers authored by Andrei Vasilăţeanu

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Vasilăţeanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Vasilăţeanu

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