Thomas Halva Labella
Impact in
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- Distributed Control Multi-Agent Systems
- Optimization and Search Problems
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence
Papers in
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- Distributed Control Multi-Agent Systems 6
- Energy Efficient Wireless Sensor Networks 5
- Optimization and Search Problems 3
- Opportunistic and Delay-Tolerant Networks 3
- Mobile Ad Hoc Networks 2
- IoT and Edge/Fog Computing 1
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- Modular Robots and Swarm Intelligence 9
- Co-authors
- Marco Dorigo (6 shared papers)Jean‐Louis Deneubourg (3 shared papers)Vito Trianni (4 shared papers)Francesco Mondada (4 shared papers)Luca Maria Gambardella (3 shared papers)Stefano Nolfi (3 shared papers)Dario Floreano (3 shared papers)Erol Şahi̇n (2 shared papers)
In The Last Decade
Thomas Halva Labella
13 papers receiving 457 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 312
- Mechanical Engineering 275
- Condensed Matter Physics 50
- Artificial Intelligence 125
- Computer Vision and Pattern Recognition 78
Countries citing papers authored by Thomas Halva Labella
This map shows the geographic impact of Thomas Halva Labella'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 Thomas Halva Labella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Halva Labella more than expected).
Fields of papers citing papers by Thomas Halva Labella
This network shows the impact of papers produced by Thomas Halva Labella. 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 Thomas Halva Labella. The network helps show where Thomas Halva Labella may publish in the future.
Co-authors
The 24 scholars most cited alongside Thomas Halva Labella, 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 | 2004 | 210 | |
| 2 | 2006 | 142 | |
| 3 | 2003 | 42 | |
| 4 | 2003 | 28 | |
| 5 | 2005 | 19 | |
| 6 | SWARM-BOT: Design and Implementation of Colonies of Self-Assembling Robots | 2006 | 19 |
| 7 | 2006 | 18 | |
| 8 | 2007 | 6 | |
| 9 | 2007 | 4 | |
| 10 | A Simulation Model for Self-organised Management of Sensor/Actuator Networks | 2006 | 4 |
| 11 | Division of labour in groups of robots | 2007 | 4 |
| 12 | 2008 | 3 | |
| 13 | 2006 | 3 |
About Thomas Halva Labella
Thomas Halva Labella is a scholar working on Computer Networks and Communications, Mechanical Engineering, Artificial Intelligence, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 502 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (9 papers), Distributed Control Multi-Agent Systems (6 papers), Energy Efficient Wireless Sensor Networks (5 papers), Optimization and Search Problems (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Mobile Ad Hoc Networks (2 papers), IoT and Edge/Fog Computing (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Computer Networks and Communications (312 citations), Mechanical Engineering (275 citations), Condensed Matter Physics (50 citations), Artificial Intelligence (125 citations) and Computer Vision and Pattern Recognition (78 citations). Thomas Halva Labella has collaborated with scholars based in Germany, Italy and Belgium. Frequent co-authors include Marco Dorigo, Jean‐Louis Deneubourg, Vito Trianni, Francesco Mondada, Luca Maria Gambardella, Stefano Nolfi, Dario Floreano, Erol Şahi̇n, Roderich Groß and Gianluca Baldassarre. Their work appears in journals such as Wireless Networks, Autonomous Robots, Fuzzy Sets and Systems, ACM Transactions on Autonomous and Adaptive Systems and Lecture notes in computer science.
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.