Bogdan Mocanu

1.3k citations
44 papers · 440 · h-index 10

Impact in

Papers in

Bogdan Mocanu

35 papers receiving 416 citations

Peers

Bogdan Mocanu
Comparison fields: 5 of 73
  • Human-Computer Interaction 111
  • Cognitive Neuroscience 217
  • Computer Vision and Pattern Recognition 153
  • Experimental and Cognitive Psychology 78
  • Signal Processing 59
Replace Ruxandra Țapu with:
Ruxandra Țapu Romania
Rabia Jafri Saudi Arabia
Jilin Tu United States
Dragoş Datcu Netherlands
T. S. Ashwin India
G. Sainarayanan Malaysia
Florian Heller Germany
Jaewoo Chung United States
Zheshen Wang United States
Bogdan Mocanu relative to Ruxandra Țapu Romania Ruxandra Țapu's profile →
Citations per field
00.5×1.5×
Ruxandra Țapu · 1×
Citations per year

Countries citing papers authored by Bogdan Mocanu

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Mocanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Bogdan Mocanu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bogdan Mocanu Line = papers co-authored together Bogdan Mocanu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 202363
3 201757
4 201436
5 201621
6 201417
7 202114
8 202214
9 201811
10 20229
11 20149
12 20227
13 20157
14 20235
15 20225
16 20195
17 20154
18 20163
19 20113
20 20252

About Bogdan Mocanu

Bogdan Mocanu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Cognitive Neuroscience, having authored 44 papers that have together received 440 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Tactile and Sensory Interactions (5 papers), Video Analysis and Summarization (5 papers), Video Surveillance and Tracking Methods (5 papers), Emotion and Mood Recognition (5 papers), Music and Audio Processing (4 papers), Gaze Tracking and Assistive Technology (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Human-Computer Interaction (111 citations), Cognitive Neuroscience (217 citations), Computer Vision and Pattern Recognition (153 citations), Experimental and Cognitive Psychology (78 citations) and Signal Processing (59 citations). Bogdan Mocanu has collaborated with scholars based in Romania, France and Italy. Frequent co-authors include Ruxandra Țapu, Titus Zaharia, Zaharia Titus, Florin Pop, Ciprian Dobre, Andrea F. Abate, Fabio Narducci, Ion Bica, Aniello Castiglione and Cătălin Negru. Their work appears in journals such as Applied Sciences, Sensors, Multimedia Tools and Applications, Image and Vision Computing and Information Sciences.

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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