Marcus Handte

830 citations
75 papers · 662 · h-index 11

Impact in

Papers in

Marcus Handte

67 papers receiving 621 citations

Peers

Marcus Handte
Comparison fields: 5 of 58
  • Transportation 81
  • Computer Vision and Pattern Recognition 219
  • Artificial Intelligence 195
  • Computer Networks and Communications 120
  • Human-Computer Interaction 25
Replace Thiago Teixeira with:
Thiago Teixeira United States
Dezhi Hong United States
Sirajum Munir United States
Alessandra De Paola Italy
Naoki Shibata Japan
Michael Möck Germany
Alexis Quesada-Arencibia Spain
Carlos Ruiz United States
Frédéric Le Mouël France
Billy Pik Lik Lau Singapore
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Citations per field
00.5×2×3×3.7×
Thiago Teixeira · 1×
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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004141
2 2016100
3
Crowd Density Estimation for Public Transport Vehicles
201444
4 201228
5 201327
6 200426
7 201426
8 200521
9 201013
10 200612
11 201812
12 201111
13 201211
14 200910
15 20129
16 20169
17 20098
18 20108
19 20057
20 20137

About Marcus Handte

Marcus Handte is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Transportation, Artificial Intelligence and Electrical and Electronic Engineering, having authored 75 papers that have together received 662 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (17 papers), Context-Aware Activity Recognition Systems (16 papers), Indoor and Outdoor Localization Technologies (14 papers), Transportation Planning and Optimization (5 papers), IoT and Edge/Fog Computing (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), Advanced Authentication Protocols Security (4 papers) and Green IT and Sustainability (4 papers). The work is most often cited by research in Transportation (81 citations), Computer Vision and Pattern Recognition (219 citations), Artificial Intelligence (195 citations), Computer Networks and Communications (120 citations) and Human-Computer Interaction (25 citations). Marcus Handte has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Pedro José Marrón, Christian Becker, Gregor Schiele, Kurt Rothermel, Gerd Kortuem, Christoph Csallner, John Stasko, Oliver F. Lehmann, Reza Rawassizadeh and Marco Antonio Zúñiga. Their work appears in journals such as Pervasive and Mobile Computing, IEEE Internet of Things Journal, ACM Transactions on Autonomous and Adaptive Systems, Machine Vision and Applications 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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