Marko Arsenović
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 1%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Disease Management Techniques
- Date Palm Research Studies
- Plant Virus Research Studies
Papers in
-
- Internet Traffic Analysis and Secure E-voting 2
-
- Network Security and Intrusion Detection 3
- Co-authors
- Srdjan Sladojević (15 shared papers)Andraš Anderla (10 shared papers)Darko Stefanović (7 shared papers)Dubravko Ćulibrk (1 shared paper)Bojаn Lаlić (1 shared paper)L. Cvetićanin (1 shared paper)Sonja Ristić (2 shared papers)
In The Last Decade
Marko Arsenović
14 papers receiving 1.8k citations
Marko Arsenović's Hit Papers
Peers
Comparison fields: 5 of 106
- Analytical Chemistry 576
- Plant Science 1.4k
- Ecology 261
- Computer Vision and Pattern Recognition 182
- Media Technology 77
Countries citing papers authored by Marko Arsenović
This map shows the geographic impact of Marko Arsenović'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 Marko Arsenović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Arsenović more than expected).
Fields of papers citing papers by Marko Arsenović
This network shows the impact of papers produced by Marko Arsenović. 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 Marko Arsenović. The network helps show where Marko Arsenović may publish in the future.
Co-authors
The 7 scholars most cited alongside Marko Arsenović, 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 | Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification Hit paper breakdown → | 2016 | 1235 |
| 2 | Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection Hit paper breakdown → | 2019 | 343 |
| 3 | 2019 | 180 | |
| 4 | 2017 | 106 | |
| 5 | 2018 | 31 | |
| 6 | 2018 | 13 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 4 | |
| 9 | 2017 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Marko Arsenović
Marko Arsenović is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Health Information Management, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), Data Mining Algorithms and Applications (2 papers), Artificial Intelligence in Healthcare (2 papers), Plant Disease Management Techniques (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Malware Detection Techniques (2 papers), Smart Agriculture and AI (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Analytical Chemistry (576 citations), Plant Science (1.4k citations), Ecology (261 citations), Computer Vision and Pattern Recognition (182 citations) and Media Technology (77 citations). Marko Arsenović has collaborated with scholars based in Serbia and Italy. Frequent co-authors include Srdjan Sladojević, Andraš Anderla, Darko Stefanović, Dubravko Ćulibrk, Bojаn Lаlić, L. Cvetićanin and Sonja Ristić. Their work appears in journals such as Computational Intelligence and Neuroscience, Applied Sciences, Symmetry, Open Computer Science and Journal of 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.