Ionela Prodan

1.2k citations
86 papers · 712 · h-index 13

Impact in

Papers in

Ionela Prodan

75 papers receiving 695 citations

Peers

Ionela Prodan
Comparison fields: 5 of 54
  • Control and Systems Engineering 528
  • Energy Engineering and Power Technology 60
  • Computer Vision and Pattern Recognition 191
  • Automotive Engineering 88
  • Electrical and Electronic Engineering 266
Replace Mehdi Hosseinzadeh with:
Mehdi Hosseinzadeh United States
Zijian Hu China
Giuseppe Fusco Italy
Qais Alsafasfeh Jordan
Mohamed Mokhtar Egypt
Ying-Tung Hsiao Taiwan
Ali Djerioui Algeria
Chen Shen China
P. Surekha India
Marcin Cychowski Ireland
Ionela Prodan relative to Mehdi Hosseinzadeh United States Mehdi Hosseinzadeh's profile →
Citations per field
00.5×2.9×
Mehdi Hosseinzadeh · 1×
Citations per year

Countries citing papers authored by Ionela Prodan

Since Specialization
Citations

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

Fields of papers citing papers by Ionela Prodan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014138
2 201560
3 201349
4 202048
5 201226
6 201826
7 201722
8 202020
9 201319
10 201719
11 201719
12 201918
13 202213
14 201910
15 201310
16 201610
17 201910
18 20189
19 20209
20 20159

About Ionela Prodan

Ionela Prodan is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 86 papers that have together received 712 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (33 papers), Robotic Path Planning Algorithms (25 papers), Adaptive Control of Nonlinear Systems (21 papers), Microgrid Control and Optimization (20 papers), Distributed Control Multi-Agent Systems (17 papers), Stability and Control of Uncertain Systems (11 papers), Smart Grid Energy Management (11 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (528 citations), Energy Engineering and Power Technology (60 citations), Computer Vision and Pattern Recognition (191 citations), Automotive Engineering (88 citations) and Electrical and Electronic Engineering (266 citations). Ionela Prodan has collaborated with scholars based in France, Romania and Germany. Frequent co-authors include Enrico Zio, Florin Stoican, Laurent Lefèvre, Sorin Olaru, Silviu‐Iulian Niculescu, Cristina Stoica, Dan Popescu, João Borges de Sousa, Esten Ingar Grøtli and Sarah K. Spurgeon. Their work appears in journals such as IFAC-PapersOnLine, IEEE Transactions on Control Systems Technology, International Journal of Control, Automatica and IEEE Journal of Radio Frequency Identification.

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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