David Macii

3.4k citations
167 papers · 2.6k · h-index 28

Impact in

Papers in

David Macii

160 papers receiving 2.5k citations

Peers

David Macii
Comparison fields: 5 of 96
  • Electrical and Electronic Engineering 2.0k
  • Control and Systems Engineering 761
  • Computer Networks and Communications 526
  • Aerospace Engineering 474
  • Media Technology 167
Replace Daniele Fontanelli with:
Daniele Fontanelli Italy
Álvaro Hernández Spain
Husheng Li United States
Yeong Min Jang South Korea
Philip V. Orlik United States
Saad Qaisar Pakistan
Insoo Koo South Korea
Xiyuan Peng China
Myo Taeg Lim South Korea
Keck Voon Ling Singapore
David Macii relative to Daniele Fontanelli Italy Daniele Fontanelli's profile →
Citations per field
00.5×1.6×
Daniele Fontanelli · 1×
Citations per year

Countries citing papers authored by David Macii

Since Specialization
Citations

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

Fields of papers citing papers by David Macii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Macii, 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 David Macii Line = papers co-authored together David Macii links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012118
2 2017108
3 201498
4 201387
5 201382
6 202080
7 201370
8 201267
9 201866
10 201464
11 201961
12 201559
13 201557
14 201855
15 202154
16 202342
17 201840
18 201339
19 201636
20 201431

About David Macii

David Macii is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 167 papers that have together received 2.6k indexed citations. Recurring topics across this work include Power System Optimization and Stability (43 papers), Indoor and Outdoor Localization Technologies (35 papers), Advanced Electrical Measurement Techniques (29 papers), Power Systems Fault Detection (25 papers), Network Time Synchronization Technologies (23 papers), Energy Efficient Wireless Sensor Networks (22 papers), Robotics and Sensor-Based Localization (18 papers) and Underwater Vehicles and Communication Systems (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.0k citations), Control and Systems Engineering (761 citations), Computer Networks and Communications (526 citations), Aerospace Engineering (474 citations) and Media Technology (167 citations). David Macii has collaborated with scholars based in Italy, China and Romania. Frequent co-authors include Dario Petri, Daniele Fontanelli, Grazia Barchi, Luigi Palopoli, Alessio Colombo, Alessandro Zorat, Daniel Belega, Valerio Magnago, P. Pivato and Paolo Carbone. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Measurement, Sustainable Energy Grids and Networks, Energies and Applied 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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