Bakir Lačević
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Paolo RoccoAndrea Maria ZanchettinJasmin VelagićNedim OsmićB. PeruničićE. AmaldiDinko OsmankovićMorten Tune Strandberg
- Topics
- Robotic Path Planning Algorithms (30 papers)Robot Manipulation and Learning (21 papers)Robotics and Sensor-Based Localization (11 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- Bosnia and HerzegovinaItalyChina
In The Last Decade
Bakir Lačević
46 papers receiving 666 citations
Peers
Comparison fields: 5 of 68
- Control and Systems Engineering 433
- Computer Vision and Pattern Recognition 369
- Biomedical Engineering 148
- Aerospace Engineering 118
- Artificial Intelligence 117
Countries citing papers authored by Bakir Lačević
This map shows the geographic impact of Bakir Lačević'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 Bakir Lačević with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bakir Lačević more than expected).
Fields of papers citing papers by Bakir Lačević
This network shows the impact of papers produced by Bakir Lačević. 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 Bakir Lačević. The network helps show where Bakir Lačević may publish in the future.
Co-authorship network of co-authors of Bakir Lačević
This figure shows the co-authorship network connecting the top 25 collaborators of Bakir Lačević. A scholar is included among the top collaborators of Bakir Lačević 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 Bakir Lačević. Bakir Lačević is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 55 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 86 | |
| 16 | 55 | |
| 17 | 26 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 7 |
About Bakir Lačević
Bakir Lačević is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 50 papers that have together received 696 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (30 papers), Robot Manipulation and Learning (21 papers) and Robotics and Sensor-Based Localization (11 papers). The work is most often cited by research in Control and Systems Engineering (433 citations), Computer Vision and Pattern Recognition (369 citations) and Industrial and Manufacturing Engineering (66 citations). Bakir Lačević has collaborated with scholars based in Bosnia and Herzegovina, Italy and China. Frequent co-authors include Paolo Rocco, Andrea Maria Zanchettin, Jasmin Velagić, Nedim Osmić, B. Peruničić, E. Amaldi, Dinko Osmanković, Morten Tune Strandberg and Haris Dindo. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Power Delivery.
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.