Marko Panić

771 total citations
44 papers, 485 citations indexed

About

Marko Panić is a scholar working on Plant Science, Biomedical Engineering and Ecology. According to data from OpenAlex, Marko Panić has authored 44 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 9 papers in Biomedical Engineering and 7 papers in Ecology. Recurrent topics in Marko Panić's work include Smart Agriculture and AI (12 papers), Allergic Rhinitis and Sensitization (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). Marko Panić is often cited by papers focused on Smart Agriculture and AI (12 papers), Allergic Rhinitis and Sensitization (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). Marko Panić collaborates with scholars based in Serbia, Belgium and Greece. Marko Panić's co-authors include Sanja Brdar, Branko Šikoparija, Vladimir Crnojević, Predrag Matavulj, Oskar Marko, Gordan Mimić, Ingrida Šaulienė, Gintautas Daunys, Mikhail Sofiev and Benoît Crouzy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Marko Panić

40 papers receiving 473 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marko Panić Serbia 14 155 140 95 76 74 44 485
James House United States 8 101 0.7× 188 1.3× 168 1.8× 26 0.3× 110 1.5× 11 453
Rafael Tormo-Molina Spain 19 134 0.9× 511 3.6× 378 4.0× 24 0.3× 375 5.1× 32 762
David Boho Germany 8 77 0.5× 14 0.1× 6 0.1× 29 0.4× 96 1.3× 14 345
Yunhui Xie China 16 131 0.8× 8 0.1× 8 0.1× 100 1.3× 23 0.3× 51 538
Gercina Gonçalves da Silva Brazil 6 572 3.7× 27 0.2× 2 0.0× 36 0.5× 22 0.3× 9 720
Georgi Georgiev Bulgaria 12 174 1.1× 8 0.1× 5 0.1× 10 0.1× 157 2.1× 152 601
Hannes Petermeier Germany 11 34 0.2× 6 0.0× 14 0.1× 62 0.8× 16 0.2× 20 297
Yanbing Zheng United States 10 49 0.3× 4 0.0× 5 0.1× 20 0.3× 71 1.0× 27 450
Zhifei Ge United States 6 32 0.2× 8 0.1× 87 0.9× 51 0.7× 10 0.1× 8 285
Juanjuan Song China 10 201 1.3× 43 0.3× 17 0.2× 7 0.1× 61 0.8× 28 390

Countries citing papers authored by Marko Panić

Since Specialization
Citations

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

Fields of papers citing papers by Marko Panić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Panić

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Panić. A scholar is included among the top collaborators of Marko Panić 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 Marko Panić. Marko Panić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bai, Huang, et al.. (2025). PLV-CSNet: Projected Landweber Variant unfolding network for image compressive sensing reconstruction. Neurocomputing. 629. 129723–129723. 2 indexed citations
2.
Schuler, Fabian, Marko Panić, Konstantin Schutjajew, et al.. (2025). Resolving Dye Embedment in MOF‐5: Multimodal Evidence for Perylene‐Based Guest Encapsulation. Advanced Optical Materials. 13(35).
3.
4.
Panić, Marko, et al.. (2025). Clinical Assessment of Dairy Goats’ Udder Health Using Infrared Thermography. Animals. 15(5). 658–658. 2 indexed citations
5.
Panić, Marko, et al.. (2025). Agrobot Gari, a multimodal robotic solution for blueberry production automation. Computers and Electronics in Agriculture. 237. 110626–110626. 1 indexed citations
6.
7.
Bajac, Branimir, Marko Panić, Vasa Radonić, et al.. (2024). Multiparameter Water Quality Monitoring System for Continuous Monitoring of Fresh Waters. IEEE Sensors Journal. 24(7). 11246–11260. 8 indexed citations
8.
Kostić, Marko, et al.. (2024). Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics. Applied Sciences. 14(22). 10693–10693. 4 indexed citations
9.
Meesters, Lydia, et al.. (2024). Avocado stem-end rot detection using hyperspectral imaging. Acta Horticulturae. 107–114. 1 indexed citations
10.
Djuric, Nemanja, et al.. (2024). Exploration of Data Augmentation Techniques for Bush Detection in Blueberry Orchards. Zenodo (CERN European Organization for Nuclear Research). 2. 5674–5683. 3 indexed citations
11.
Panić, Marko, et al.. (2024). End-to-End Deep Learning Models for Gap Identification in Maize Fields. Zenodo (CERN European Organization for Nuclear Research). 5403–5412. 2 indexed citations
12.
Djisalov, Mila, Marko Radović, Ljiljana Janjušević, et al.. (2023). Mammalian Cell-Growth Monitoring Based on an Impedimetric Sensor and Image Processing within a Microfluidic Platform. Sensors. 23(7). 3748–3748. 3 indexed citations
13.
14.
Panić, Marko, et al.. (2023). Estimation of Water Quality Parameters in Oligotrophic Coastal Waters Using Uncrewed-Aerial-Vehicle-Obtained Hyperspectral Data. Journal of Marine Science and Engineering. 11(10). 2026–2026. 9 indexed citations
15.
Panić, Marko, et al.. (2022). Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data. Remote Sensing. 14(9). 2256–2256. 16 indexed citations
16.
Brdar, Sanja, et al.. (2021). Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections. Scientific Reports. 11(1). 23109–23109. 9 indexed citations
17.
Šaulienė, Ingrida, Gintautas Daunys, Predrag Matavulj, et al.. (2019). Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps. Atmospheric measurement techniques. 12(6). 3435–3452. 89 indexed citations
18.
Panić, Marko, Dejan Vukobratović, Vladimir Crnojević, & Aleksandra Pižurica. (2017). Greedy MRI reconstruction using Markov Random Field prior. Ghent University Academic Bibliography (Ghent University).
19.
Marko, Oskar, et al.. (2017). Portfolio optimization for seed selection in diverse weather scenarios. PLoS ONE. 12(9). e0184198–e0184198. 16 indexed citations
20.
Panić, Marko, Jan Aelterman, Vladimir Crnojević, & Aleksandra Pižurica. (2016). Compressed sensing in MRI with a Markov random field prior for spatial clustering of subband coefficients. 1. 562–566. 6 indexed citations

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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