Ivana Dusparić
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 2%
- Control and Systems Engineering top 5%
- Transportation top 2%
- Artificial Intelligence top 5%
- Co-authors
- Maxime GuériauSiobhán ClarkeVinny CahillRansford A. AcheampongFederico CugurulloAndrei MarinescuAdam TaylorFatemeh Golpayegani
- Topics
- Smart Grid Energy Management (17 papers)Transportation and Mobility Innovations (12 papers)Reinforcement Learning in Robotics (12 papers)
- Partner nations
- IrelandColombiaUnited Kingdom
In The Last Decade
Ivana Dusparić
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Electrical and Electronic Engineering 383
- Automotive Engineering 356
- Control and Systems Engineering 302
- Transportation 265
- Artificial Intelligence 257
Countries citing papers authored by Ivana Dusparić
This map shows the geographic impact of Ivana Dusparić'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 Ivana Dusparić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana Dusparić more than expected).
Fields of papers citing papers by Ivana Dusparić
This network shows the impact of papers produced by Ivana Dusparić. 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 Ivana Dusparić. The network helps show where Ivana Dusparić may publish in the future.
Co-authorship network of co-authors of Ivana Dusparić
This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Dusparić. A scholar is included among the top collaborators of Ivana Dusparić 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 Ivana Dusparić. Ivana Dusparić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | Optimising PID Control with Residual Policy Reinforcement Learning. | 4 |
| 9 | 27 | |
| 10 | 7 | |
| 11 | Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control. | 40 |
| 12 | 46 | |
| 13 | 10 | |
| 14 | 17 | |
| 15 | 7 | |
| 16 | 27 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 4 |
About Ivana Dusparić
Ivana Dusparić is a scholar working on Transportation, Computer Science Applications and Automotive Engineering, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (17 papers), Transportation and Mobility Innovations (12 papers) and Reinforcement Learning in Robotics (12 papers). The work is most often cited by research in Transportation (265 citations), Automotive Engineering (356 citations) and Building and Construction (200 citations). Ivana Dusparić has collaborated with scholars based in Ireland, Colombia and United Kingdom. Frequent co-authors include Maxime Guériau, Siobhán Clarke, Vinny Cahill, Ransford A. Acheampong, Federico Cugurullo, Andrei Marinescu, Adam Taylor, Fatemeh Golpayegani, Babatunji Omoniwa and Diogo M. F. Mattos. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Access and Sensors.
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.