Thomas Wiedemann

463 citations
39 papers · 328 indexed · h-index 12
Topics
Insect Pheromone Research and Control (13 papers)Advanced Chemical Sensor Technologies (12 papers)Target Tracking and Data Fusion in Sensor Networks (10 papers)

In The Last Decade

Thomas Wiedemann

32 papers receiving 323 citations

Peers

Thomas Wiedemann
Comparison fields: 5 of 71
  • Insect Science 90
  • Computer Networks and Communications 87
  • Aerospace Engineering 82
  • Biomedical Engineering 76
  • Artificial Intelligence 65
Replace Alberto Viseras with:
Alberto Viseras Germany
N. Crasta Portugal
Matteo Nardello Italy
Ali Haydar Göktoğan Australia
J. Chudley United Kingdom
Tomasz Piotr Kucner Sweden
Maciej Wielgosz Poland
José A. Paredes Spain
Yan Zhai China
Hamid Teimoori Australia
Thomas Wiedemann relative to Alberto Viseras Germany Alberto Viseras's profile →
Citations per field
00.5×
Alberto Viseras · 1×
Citations per year

Countries citing papers authored by Thomas Wiedemann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Wiedemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Wiedemann

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Wiedemann. A scholar is included among the top collaborators of Thomas Wiedemann 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 Thomas Wiedemann. Thomas Wiedemann 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 0
2 0
3 1
4 1
5 0
6 1
7 4
8 1
9 0
10 3
11 20
12 49
13
Domain Knowledge Assisted Robotic Exploration and Source Localization
3
14 12
15 11
16
SWARM NAVIGATION AND EXPLORATION FOR PLANETARY SURFACE MISSIONS:EXPERIMENTAL RESULTS
1
17
Practical Orientation as a Survival Strategy
1
18
Coupling of Simulators for Optimal Control of Water Quality
0
19 1
20 17

About Thomas Wiedemann

Thomas Wiedemann is a scholar working on Insect Science, Ecological Modeling and Artificial Intelligence, having authored 39 papers that have together received 328 indexed citations. Recurring topics across this work include Insect Pheromone Research and Control (13 papers), Advanced Chemical Sensor Technologies (12 papers) and Target Tracking and Data Fusion in Sensor Networks (10 papers). The work is most often cited by research in Insect Science (90 citations), Computer Networks and Communications (87 citations) and Aerospace Engineering (82 citations). Thomas Wiedemann has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Dmitriy Shutin, Achim J. Lilienthal, Alberto Viseras, Armin Dammann, Siwei Zhang, W. Stahl, Robert Pöhlmann, Peter Adam Hoeher, Henk Wymeersch and Luís Merino. Their work appears in journals such as Proceedings of the IEEE, IEEE Access and Sensors.

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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