Milan Dado

1.0k citations
68 papers · 710 · h-index 11

Impact in

Papers in

Milan Dado

57 papers receiving 675 citations

Peers

Milan Dado
Comparison fields: 5 of 57
  • Surfaces, Coatings and Films 170
  • Electrical and Electronic Engineering 624
  • Atomic and Molecular Physics, and Optics 278
  • Automotive Engineering 45
  • Computer Networks and Communications 57
Replace Sudarshan R. Nelatury with:
Sudarshan R. Nelatury United States
Andreas Fuchs Germany
Ahmad Harb United States
Sung-Ho Lee South Korea
Jin‐Jia Chen Taiwan
Xin Shen China
M. Sathish Kumar India
Maiya Hori Japan
Jin‐Yong Kim South Korea
Hsin-Ta Hsieh Taiwan
Milan Dado relative to Sudarshan R. Nelatury United States Sudarshan R. Nelatury's profile →
Citations per field
00.5×10×13×
Sudarshan R. Nelatury · 1×
Citations per year

Countries citing papers authored by Milan Dado

Since Specialization
Citations

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

Fields of papers citing papers by Milan Dado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016110
2 201598
3 201584
4 201470
5 201863
6 201936
7 202131
8 201630
9 202213
10 202012
11 201912
12 201710
13 201210
14 20227
15 20217
16 20167
17 20077
18 20126
19 20186
20 20166

About Milan Dado

Milan Dado is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Surfaces, Coatings and Films, Automotive Engineering and Control and Systems Engineering, having authored 68 papers that have together received 710 indexed citations. Recurring topics across this work include Optical Network Technologies (23 papers), Photonic and Optical Devices (17 papers), Advanced Optical Network Technologies (15 papers), Vehicular Ad Hoc Networks (VANETs) (15 papers), Advanced Photonic Communication Systems (14 papers), Advanced Fiber Optic Sensors (13 papers), Optical Coatings and Gratings (10 papers) and Semiconductor Lasers and Optical Devices (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (170 citations), Electrical and Electronic Engineering (624 citations), Atomic and Molecular Physics, and Optics (278 citations), Automotive Engineering (45 citations) and Computer Networks and Communications (57 citations). Milan Dado has collaborated with scholars based in Slovakia, Canada and Spain. Frequent co-authors include Jens H. Schmid, Pavel Cheben, Alejandro Ortega‐Moñux, Daniel Benedikovič, Robert Halir, Dan‐Xia Xu, Siegfried Janz, J. Lapointe, J. Gonzalo Wangüemert‐Pérez and Shurui Wang. Their work appears in journals such as Sensors, Optics Express, Optics Letters, IEEE Transactions on Intelligent Transportation Systems and Electronics.

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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