Irina Mocanu

748 total citations
69 papers, 441 citations indexed

About

Irina Mocanu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Demography. According to data from OpenAlex, Irina Mocanu has authored 69 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Demography. Recurrent topics in Irina Mocanu's work include Context-Aware Activity Recognition Systems (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Technology Use by Older Adults (8 papers). Irina Mocanu is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Technology Use by Older Adults (8 papers). Irina Mocanu collaborates with scholars based in Romania, Portugal and Italy. Irina Mocanu's co-authors include Robert J. Vallerand, Jérémie Verner‐Filion, Catherine E. Amiot, Alin Moldoveanu, Florica Moldoveanu, Anca Morar, Bogdan Cramariuc, Adina Magda Florea, Cristiana Stan and Oana Cramariuc and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and IEEE Access.

In The Last Decade

Irina Mocanu

57 papers receiving 427 citations

Peers

Irina Mocanu
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 132
  • Social Psychology 86
  • Electrical and Electronic Engineering 82
  • Aerospace Engineering 54
  • Developmental and Educational Psychology 44
Replace Stefan Diewald with:
Stefan Diewald Germany
Luis Roalter Germany
Lucio Tommaso De Paolis Italy
Peter Kiefer Switzerland
Cecília Sik‐Lányi Hungary
José Gonçalves Portugal
Huawei Tu China
Sašo Koceski North Macedonia
Jae‐Eun Shin South Korea
Felix G. Hamza-Lup United States
Stefan Diewald Germany View profile →
Citations per field, relative to Irina Mocanu
Irina Mocanu · 1×
Citations per year, relative to Irina Mocanu
Irina Mocanu · 1×

Countries citing papers authored by Irina Mocanu

Since Specialization
Citations

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

Fields of papers citing papers by Irina Mocanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Mocanu

This figure shows the co-authorship network connecting the top 25 collaborators of Irina Mocanu. A scholar is included among the top collaborators of Irina Mocanu 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 Irina Mocanu. Irina Mocanu 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 1
2 2
3 14
4 1
5 5
6 0
7 0
8 0
9 3
10 2
11 1
12 9
13 23
14 4
15 4
16 5
17 1
18
Human Body Posture Recognition Using A Kinect Sensor
2
19
Hand Gestures Recognition Using Time Delay Networks
2
20
Anticipatory Versus Traditional Genetic Algorithm
1

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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