Vladimir Djapic

1.7k citations
42 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Underwater Vehicles and Communication Systems (29 papers)Robotics and Sensor-Based Localization (12 papers)Robotic Path Planning Algorithms (9 papers)

In The Last Decade

Vladimir Djapic

42 papers receiving 1.4k citations

Hit Papers

Command Filtered Adaptive Backstepping20112026201620212011200400600

Peers

Vladimir Djapic
Comparison fields: 5 of 64
  • Control and Systems Engineering 736
  • Ocean Engineering 622
  • Aerospace Engineering 381
  • Computer Networks and Communications 234
  • Artificial Intelligence 234
Replace Bruno Jouvencel with:
Bruno Jouvencel France
S.M. Smith United States
Jian Cao China
Ronghao Zheng China
Zheng Zeng China
Jérôme Jouffroy Denmark
Bibhuti Bhusan Pati India
Pedro Batista Portugal
Jonghoek Kim South Korea
Ricardo Martins Portugal
Vladimir Djapic relative to Bruno Jouvencel France Bruno Jouvencel's profile →
Citations per field
00.5×3.6×
Bruno Jouvencel · 1×
Citations per year

Countries citing papers authored by Vladimir Djapic

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Djapic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Djapic

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Djapic. A scholar is included among the top collaborators of Vladimir Djapic 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 Vladimir Djapic. Vladimir Djapic 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 4
2 4
3 23
4 12
5 18
6 5
7 2
8 2
9 5
10 16
11
Command Filtered Adaptive Backsteppingbreakdown →
674
12 7
13
Collaborative Autonomous Vehicle Use in Mine Countermeasures
8
14 31
15 53
16 4
17
Unifying Behavior Based Control Design and Hybrid Stability Theory for AUV Application
7
18 1
19 19
20 1

About Vladimir Djapic

Vladimir Djapic is a scholar working on Ocean Engineering, Oceanography and Aerospace Engineering, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (29 papers), Robotics and Sensor-Based Localization (12 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Ocean Engineering (622 citations), Control and Systems Engineering (736 citations) and Aerospace Engineering (381 citations). Vladimir Djapic has collaborated with scholars based in United States, Italy and Croatia. Frequent co-authors include Jay A. Farrell, Wenjie Dong, M. K. Sharma, Marios M. Polycarpou, Yuanyuan Zhao, Paul Miller, Fausto Ferreira, Đula Nađ, Gabriele Ferri and Marc Carreras. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Journal of Oceanic Engineering and Annual Reviews in Control.

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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