Cătălin Daniel Căleanu

669 citations
67 papers · 411 · h-index 11

Impact in

Papers in

Cătălin Daniel Căleanu

50 papers receiving 396 citations

Peers

Cătălin Daniel Căleanu
Comparison fields: 5 of 77
  • Human-Computer Interaction 63
  • Computer Vision and Pattern Recognition 167
  • Hepatology 32
  • Automotive Engineering 53
  • Safety, Risk, Reliability and Quality 37
Replace Kaichi Fujimura with:
Kaichi Fujimura Japan
Jongmin Yu South Korea
Mohamed Adnane Mahraz Morocco
Haimin Zhang Australia
Edgar A. Bernal United States
Shiyang Yan China
Runbo Hu China
Peiyun Hu United States
Chang Hong Lin Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Cătălin Daniel Căleanu

Since Specialization
Citations

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

Fields of papers citing papers by Cătălin Daniel Căleanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cătălin Daniel Căleanu. 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 Cătălin Daniel Căleanu. The network helps show where Cătălin Daniel Căleanu may publish in the future.

Co-authors

The 22 scholars most cited alongside Cătălin Daniel Căleanu, 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 Cătălin Daniel Căleanu Line = papers co-authored together Cătălin Daniel Căleanu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 202141
3 201328
4 200723
5 202221
6 202016
7 202312
8 202312
9 202012
10 202011
11 202210
12 202110
13
Improved Version of an Integrated Environment for Assisted Movement of Visually Impaired
200710
14 201410
15 20249
16
Obstacles detection system for visually impaired guidance
20089
17 20128
18 20028
19 20157
20 20117

About Cătălin Daniel Căleanu

Cătălin Daniel Căleanu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 67 papers that have together received 411 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Neural Networks and Applications (9 papers), Hand Gesture Recognition Systems (8 papers), Gaze Tracking and Assistive Technology (8 papers), Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (5 papers), Advanced Neural Network Applications (5 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Human-Computer Interaction (63 citations), Computer Vision and Pattern Recognition (167 citations), Hepatology (32 citations), Automotive Engineering (53 citations) and Safety, Risk, Reliability and Quality (37 citations). Cătălin Daniel Căleanu has collaborated with scholars based in Romania, China and France. Frequent co-authors include Ciprian Seiculescu, De-Shuang Huang, Xia Mao, Yuli Xue, Yuhua Cheng, Chengjin Qin, Tudor Moga, Cristian Druta, Radu Vasiu and Ioan Sporea. Their work appears in journals such as Sensors, Pattern Recognition Letters, Electronics, PeerJ Computer Science and PLoS ONE.

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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