Marcus Handte

847 citations
73 papers · 651 · h-index 12

Impact in

Papers in

Marcus Handte

65 papers receiving 609 citations

Peers

Marcus Handte
Comparison fields: 5 of 58
  • Transportation 106
  • Computer Vision and Pattern Recognition 301
  • Computer Networks and Communications 290
  • Computer Science Applications 43
  • Human-Computer Interaction 31
Replace Xiang Su with:
Xiang Su China
Nicola Bicocchi Italy
Félix J. Villanueva Spain
Rajiv Ramdhany United Kingdom
Karthik Gopalratnam United States
Martin Strohbach United Kingdom
François Carrez United Kingdom
Sejun Song United States
Mélanie Bouroche Ireland
Iacopo Carreras Italy
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Citations per field
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Citations per year

Countries citing papers authored by Marcus Handte

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Handte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcus Handte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcus Handte Line = papers co-authored together Marcus Handte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004130
2 2016103
3
Crowd Density Estimation for Public Transport Vehicles
201444
4 201228
5 201427
6 201327
7 200425
8 200521
9 201817
10 201013
11 201211
12 200611
13 201111
14 200910
15 20129
16 20098
17 20168
18 20108
19 20057
20 20177

About Marcus Handte

Marcus Handte is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering and Information Systems, having authored 73 papers that have together received 651 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (26 papers), Indoor and Outdoor Localization Technologies (17 papers), IoT and Edge/Fog Computing (10 papers), Distributed systems and fault tolerance (10 papers), Underwater Vehicles and Communication Systems (9 papers), Energy Efficient Wireless Sensor Networks (8 papers), Energy Harvesting in Wireless Networks (6 papers) and Bluetooth and Wireless Communication Technologies (6 papers). The work is most often cited by research in Transportation (106 citations), Computer Vision and Pattern Recognition (301 citations), Computer Networks and Communications (290 citations), Computer Science Applications (43 citations) and Human-Computer Interaction (31 citations). Marcus Handte has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Pedro José Marrón, Christian Becker, Gregor Schiele, Kurt Rothermel, Stephan N. Wagner, Gerd Kortuem, Stephan Wagner, John Stasko, Umer Iqbal and Christoph Csallner. Their work appears in journals such as Pervasive and Mobile Computing, ACM Transactions on Autonomous and Adaptive Systems, Machine Vision and Applications, IEEE Internet of Things Journal 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.

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