Dan Pescaru

409 total citations
44 papers, 256 citations indexed

About

Dan Pescaru is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Dan Pescaru has authored 44 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Dan Pescaru's work include Energy Efficient Wireless Sensor Networks (16 papers), Video Surveillance and Tracking Methods (9 papers) and Embedded Systems Design Techniques (7 papers). Dan Pescaru is often cited by papers focused on Energy Efficient Wireless Sensor Networks (16 papers), Video Surveillance and Tracking Methods (9 papers) and Embedded Systems Design Techniques (7 papers). Dan Pescaru collaborates with scholars based in Romania, United States and France. Dan Pescaru's co-authors include Daniel-Ioan Curiac, Alex Doboli, Alexa Doboli, Constantin Voloşencu, Mihai V. Micea, Dan Cireşan, Meng Wang, Bogdan Ciubotaru, Philippe Lahire and Yang Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dan Pescaru

38 papers receiving 238 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Pescaru Romania 9 104 77 65 60 27 44 256
Bradford G. Nickerson Canada 7 136 1.3× 67 0.9× 55 0.8× 35 0.6× 21 0.8× 37 319
Siegfried Mercelis Belgium 9 117 1.1× 52 0.7× 85 1.3× 30 0.5× 37 1.4× 63 257
Haitao Zhang China 11 219 2.1× 69 0.9× 69 1.1× 48 0.8× 16 0.6× 51 362
Yibin Hou China 11 154 1.5× 100 1.3× 94 1.4× 67 1.1× 20 0.7× 72 358
Matthias Woehrle Switzerland 12 144 1.4× 73 0.9× 75 1.2× 63 1.1× 42 1.6× 40 353
Tiehua Zhang Australia 9 121 1.2× 55 0.7× 95 1.5× 115 1.9× 36 1.3× 20 300
Duc Van Le Singapore 10 210 2.0× 35 0.5× 132 2.0× 48 0.8× 18 0.7× 45 357
Mihui Kim South Korea 11 165 1.6× 64 0.8× 111 1.7× 64 1.1× 70 2.6× 50 336
Yongjian Ren China 9 82 0.8× 52 0.7× 29 0.4× 96 1.6× 8 0.3× 36 248

Countries citing papers authored by Dan Pescaru

Since Specialization
Citations

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

Fields of papers citing papers by Dan Pescaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Pescaru

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Pescaru. A scholar is included among the top collaborators of Dan Pescaru 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 Dan Pescaru. Dan Pescaru 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
1.
Pescaru, Dan, et al.. (2024). Integrated Digital Platform for Marine Energy Management. 1–5.
2.
Pescaru, Dan, et al.. (2023). Mamdani vs. Takagi–Sugeno Fuzzy Inference Systems in the Calibration of Continuous-Time Car-Following Models. Sensors. 23(21). 8791–8791. 7 indexed citations
3.
Pescaru, Dan, et al.. (2019). Deep Learning Approach for Violence Detection in Urban Areas. SHILAP Revista de lepidopterología. 29. 3009–3009. 1 indexed citations
4.
Pescaru, Dan & Daniel-Ioan Curiac. (2014). Anchor Node Localization for Wireless Sensor Networks Using Video and Compass Information Fusion. Sensors. 14(3). 4211–4224. 24 indexed citations
5.
Pescaru, Dan & Daniel-Ioan Curiac. (2014). Ensemble based traffic light control for city zones using a reduced number of sensors. Transportation Research Part C Emerging Technologies. 46. 261–273. 6 indexed citations
6.
Pescaru, Dan, et al.. (2013). Validation of static properties in unified modeling language models for cyber physical systems. Journal of Zhejiang University SCIENCE C. 14(5). 332–346. 8 indexed citations
7.
Doboli, Alex, et al.. (2012). A goal-oriented programming framework for grid sensor networks with reconfigurable embedded nodes. ACM Transactions on Embedded Computing Systems. 11(4). 1–30. 4 indexed citations
8.
Pescaru, Dan, et al.. (2012). UML profile for Cyber-Physical System wireless communication specification. 383–388. 1 indexed citations
9.
Pescaru, Dan, et al.. (2010). Accurate modeling of physical time in asynchronous embedded sensing networks. 477–482. 4 indexed citations
10.
Pescaru, Dan, et al.. (2010). Predicting indoor temperature variation through sensor data pattern analysis. 12. 665–670. 1 indexed citations
11.
Pescaru, Dan, et al.. (2010). A simulation framework for PSoC based Cyber Physical Systems. 137–142. 5 indexed citations
12.
Curiac, Daniel-Ioan, et al.. (2009). Redundancy and its applications in wireless sensor networks: a survey. WSEAS Transactions on Computers archive. 8(4). 705–714. 26 indexed citations
13.
Curiac, Daniel-Ioan, et al.. (2009). A view upon redundancy in wireless sensor networks. International Conference on Signal Processing. 341–346. 4 indexed citations
14.
Curiac, Daniel-Ioan, et al.. (2009). SELF-DESTRUCTION PROCEDURE FOR CLUSTER-TREE WIRELESS SENSOR NETWORKS. 63–67. 2 indexed citations
15.
Pescaru, Dan, et al.. (2009). Kernel based image registration versus MLESAC: A comparative study. 51. 255–260. 2 indexed citations
16.
17.
Pescaru, Dan, et al.. (2008). Sensor node localization using SIFT algorithm. 436–441.
18.
Pescaru, Dan, et al.. (2008). Video-based wireless sensor networks localization technique based on image registration and sift algorithm. WSEAS Transactions on Computers archive. 7(7). 990–999. 2 indexed citations
19.
20.
Lahire, Philippe, et al.. (2004). SMARTFACTORY - an Implementation of the Domain Driven Development Approach. 1 indexed citations

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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