Loretta Ichim
Impact in
- Aerospace Engineering top 5%
- UAV Applications and Optimization
Papers in
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- Digital Imaging for Blood Diseases 12
- Advanced Neural Network Applications 9
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- UAV Applications and Optimization 16
- Co-authors
- Dan Popescu (86 shared papers)Florin Stoican (14 shared papers)Grigore Stâmâtescu (8 shared papers)Cristian Drăgana (9 shared papers)Dan M. Popescu (6 shared papers)Dan Popescu (11 shared papers)N Angelescu (7 shared papers)Mihaela Deaconu (1 shared paper)
In The Last Decade
Loretta Ichim
115 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 295
- Aerospace Engineering 312
- Computer Networks and Communications 278
- Artificial Intelligence 239
- Environmental Engineering 97
Countries citing papers authored by Loretta Ichim
This map shows the geographic impact of Loretta Ichim'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 Loretta Ichim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loretta Ichim more than expected).
Fields of papers citing papers by Loretta Ichim
This network shows the impact of papers produced by Loretta Ichim. 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 Loretta Ichim. The network helps show where Loretta Ichim may publish in the future.
Co-authors
The 19 scholars most cited alongside Loretta Ichim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 174 | |
| 2 | 2020 | 106 | |
| 3 | 2019 | 103 | |
| 4 | 2018 | 74 | |
| 5 | 2022 | 49 | |
| 6 | 2017 | 39 | |
| 7 | 2015 | 37 | |
| 8 | 2018 | 31 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 28 | |
| 11 | 2021 | 25 | |
| 12 | 2017 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2018 | 17 | |
| 16 | 2018 | 14 | |
| 17 | Neurotrophin-3, TNF-alpha and IL-6 relations in serum and cerebrospinal fluid of ischemic stroke patients. | 2007 | 14 |
| 18 | 2019 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2018 | 12 |
About Loretta Ichim
Loretta Ichim is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 129 papers that have together received 1.2k indexed citations. Recurring topics across this work include UAV Applications and Optimization (16 papers), Smart Agriculture and AI (14 papers), AI in cancer detection (13 papers), Retinal Imaging and Analysis (13 papers), Digital Imaging for Blood Diseases (12 papers), Remote Sensing and LiDAR Applications (10 papers), Cutaneous Melanoma Detection and Management (9 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (295 citations), Aerospace Engineering (312 citations), Computer Networks and Communications (278 citations), Artificial Intelligence (239 citations) and Environmental Engineering (97 citations). Loretta Ichim has collaborated with scholars based in Romania, Austria and France. Frequent co-authors include Dan Popescu, Florin Stoican, Grigore Stâmâtescu, Cristian Drăgana, Dan M. Popescu, Dan Popescu, N Angelescu, Mihaela Deaconu, Ionela Prodan and Radu Dobrescu. Their work appears in journals such as Sensors, Frontiers in Plant Science, IEEE Access, Studies in Informatics and Control and Symmetry.
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.