Marija Popović

1.8k citations
39 papers · 951 indexed · h-index 13
Topics
Robotics and Sensor-Based Localization (21 papers)Robotic Path Planning Algorithms (13 papers)Smart Agriculture and AI (7 papers)

In The Last Decade

Marija Popović

38 papers receiving 926 citations

Peers

Marija Popović
Comparison fields: 5 of 78
  • Plant Science 420
  • Computer Vision and Pattern Recognition 351
  • Aerospace Engineering 298
  • Ecology 245
  • Environmental Engineering 105
Replace Matthew Coombes with:
Matthew Coombes United Kingdom
Raghav Khanna Switzerland
Dimosthenis C. Tsouros Greece
Zetao Chen Switzerland
Leifeng Guo China
Fernando Vanegas Australia
Henrik Karstoft Denmark
Jing Xin China
Nived Chebrolu Germany
Jinhai Cai Australia
Marija Popović relative to Matthew Coombes United Kingdom Matthew Coombes's profile →
Citations per field
00.5×1.5×
Matthew Coombes · 1×
Citations per year

Countries citing papers authored by Marija Popović

Since Specialization
Citations

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

Fields of papers citing papers by Marija Popović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marija Popović

This figure shows the co-authorship network connecting the top 25 collaborators of Marija Popović. A scholar is included among the top collaborators of Marija Popović 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 Marija Popović. Marija Popović 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
#WorkIndexed citations
1 1
2 2
3 1
4 7
5 2
6 3
7 1
8 10
9 1
10 21
11 22
12 9
13 8
14 5
15 12
16
Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty.
3
17 25
18 5
19 10
20 43

About Marija Popović

Marija Popović is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Plant Science, having authored 39 papers that have together received 951 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (21 papers), Robotic Path Planning Algorithms (13 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (351 citations), Aerospace Engineering (298 citations) and Plant Science (420 citations). Marija Popović has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Roland Siegwart, Juan Nieto, Inkyu Sa, Zetao Chen, Raghav Khanna, Frank Liebisch, Cyrill Stachniss, Gregory Hitz, Teresa Vidal‐Calleja and Philipp Lottes. Their work appears in journals such as IEEE Access, Sensors and Remote Sensing.

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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