Mircea Nicolescu

1.8k total citations · 1 hit paper
43 papers, 1.0k citations indexed

About

Mircea Nicolescu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mircea Nicolescu has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Mircea Nicolescu's work include Video Surveillance and Tracking Methods (11 papers), Neural dynamics and brain function (7 papers) and Human Pose and Action Recognition (7 papers). Mircea Nicolescu is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Neural dynamics and brain function (7 papers) and Human Pose and Action Recognition (7 papers). Mircea Nicolescu collaborates with scholars based in United States, Italy and Iran. Mircea Nicolescu's co-authors include George Bebis, Ali Erol, Richard D. Boyle, Xander Twombly, Monica Nicolescu, Alireza Tavakkoli, Richard Kelley, Christopher King, Banafsheh Rekabdar and Roozbeh Dargazany and has published in prestigious journals such as Sensors, Neurocomputing and Neural Computing and Applications.

In The Last Decade

Mircea Nicolescu

38 papers receiving 960 citations

Hit Papers

Vision-based hand pose estimation: A review 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Mircea Nicolescu
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 589
  • Human-Computer Interaction 546
  • Control and Systems Engineering 308
  • Artificial Intelligence 157
  • Cognitive Neuroscience 154
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Citations per field, relative to Mircea Nicolescu
Mircea Nicolescu · 1×
Citations per year, relative to Mircea Nicolescu
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Countries citing papers authored by Mircea Nicolescu

Since Specialization
Citations

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

Fields of papers citing papers by Mircea Nicolescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mircea Nicolescu

This figure shows the co-authorship network connecting the top 25 collaborators of Mircea Nicolescu. A scholar is included among the top collaborators of Mircea Nicolescu 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 Mircea Nicolescu. Mircea Nicolescu 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 4
7 1
8 6
9 1
10 2
11 1
12 7
13 1
14 9
15
Smart monitoring of complex public scenes
1
16 114
17 17
18 46
19 8
20 14

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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