Milos Manic
Impact in
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- Smart Grid Security and Resilience
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Anomaly Detection Techniques and Applications 32
- Neural Networks and Applications 28
- Fuzzy Logic and Control Systems 19
- Adversarial Robustness in Machine Learning 10
-
- Smart Grid Security and Resilience 22
- Fault Detection and Control Systems 15
- Co-authors
- Ondrej LindaKasun AmarasingheDaniel MarinoDumidu WijayasekaraChathurika S. WickramasingheKurt DerrTodd VollmerJuan J. Rodríguez-Andina
- Journals
- IEEE Transactions on Industrial Informatics (12 papers)IEEE Access (8 papers)IEEE Industrial Electronics Magazine (7 papers)IEEE Transactions on Industrial Electronics (5 papers)IEEE Transactions on Fuzzy Systems (3 papers)
- Partner nations
- United StatesAustraliaRomania
In The Last Decade
Milos Manic
189 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 151
- Control and Systems Engineering 1.1k
- Artificial Intelligence 1.4k
- Computer Networks and Communications 938
- Signal Processing 369
- Health Informatics 38
Countries citing papers authored by Milos Manic
This map shows the geographic impact of Milos Manic'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 Milos Manic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milos Manic more than expected).
Fields of papers citing papers by Milos Manic
This network shows the impact of papers produced by Milos Manic. 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 Milos Manic. The network helps show where Milos Manic may publish in the future.
Co-authors
The 25 scholars most cited alongside Milos Manic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2015 | 20 | |
| 18 | 2014 | 11 | |
| 19 | 2011 | 13 | |
| 20 | 2007 | 27 |
About Milos Manic
Milos Manic is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 206 papers that have together received 3.8k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (32 papers), Neural Networks and Applications (28 papers), Network Security and Intrusion Detection (23 papers), Smart Grid Security and Resilience (22 papers), Fuzzy Logic and Control Systems (19 papers), Fault Detection and Control Systems (15 papers), Smart Grid Energy Management (11 papers) and Adversarial Robustness in Machine Learning (10 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Artificial Intelligence (1.4k citations), Computer Networks and Communications (938 citations), Signal Processing (369 citations) and Health Informatics (38 citations). Milos Manic has collaborated with scholars based in United States, Australia and Romania. Frequent co-authors include Ondrej Linda, Kasun Amarasinghe, Daniel Marino, Dumidu Wijayasekara, Chathurika S. Wickramasinghe, Kurt Derr, Todd Vollmer, Juan J. Rodríguez-Andina, Craig Rieger and Donald D. Dudenhoeffer. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Access, IEEE Industrial Electronics Magazine, IEEE Transactions on Industrial Electronics and IEEE Transactions on Fuzzy Systems.
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.