Lucian Prodan

2.2k citations
53 papers · 230 · h-index 10

Impact in

Papers in

Lucian Prodan

51 papers receiving 213 citations

Peers

Lucian Prodan
Comparison fields: 5 of 36
  • Artificial Intelligence 111
  • Hardware and Architecture 22
  • Computational Theory and Mathematics 40
  • Transportation 14
  • Computer Vision and Pattern Recognition 41
Replace Mahmoud Tabandeh with:
Mahmoud Tabandeh Iran
Takashi Horiyama Japan
Thomas D. Barrett United Kingdom
Ruizhe Cai United States
Christian Deppe Germany
Jaehoon Yu Japan
Somayyeh Jafarali Jassbi Iran
Chunshu Wu United States
Lucian Prodan relative to Mahmoud Tabandeh Iran Mahmoud Tabandeh's profile →
Citations per field
00.5×4.7×
Mahmoud Tabandeh · 1×
Citations per year

Countries citing papers authored by Lucian Prodan

Since Specialization
Citations

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

Fields of papers citing papers by Lucian Prodan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Lucian Prodan, 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 Lucian Prodan Line = papers co-authored together Lucian Prodan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200619
2 200418
3 200418
4 201116
5 201112
6 200511
7 200710
8 200410
9
Embryonics: Electronic Stem Cells
20029
10 20059
11 20095
12 20135
13 20075
14 20104
15 20204
16 20084
17 20124
18 20204
19 20144
20 20074

About Lucian Prodan

Lucian Prodan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 53 papers that have together received 230 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (15 papers), Radiation Effects in Electronics (10 papers), Quantum Information and Cryptography (10 papers), Low-power high-performance VLSI design (8 papers), Advanced Memory and Neural Computing (6 papers), Traffic Prediction and Management Techniques (6 papers), Transportation Planning and Optimization (5 papers) and Numerical Methods and Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (111 citations), Hardware and Architecture (22 citations), Computational Theory and Mathematics (40 citations), Transportation (14 citations) and Computer Vision and Pattern Recognition (41 citations). Lucian Prodan has collaborated with scholars based in Romania, Germany and United States. Frequent co-authors include Mircea Vlăduţiu, Mihai Udrescu, Oana Boncalo, R. Beigang, Daniel Mange, Gianluca Tempesti, André Stauffer, L. Kuipers, R.M. de Ridder and T. G. Euser. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Data in Brief, ACM Journal on Emerging Technologies in Computing Systems, Journal of Physics D Applied Physics and Simulation Modelling Practice and Theory.

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.

Explore authors with similar magnitude of impact