Alessandro Mulloni

22 papers receiving 1.3k citations

Peers

Alessandro Mulloni
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 1.1k
  • Aerospace Engineering 543
  • Human-Computer Interaction 428
  • Electrical and Electronic Engineering 274
  • Automotive Engineering 131
Replace Takafumi Taketomi with:
Takafumi Taketomi Japan
David Mizell United States
Wayne Piekarski Australia
Anthony C. Webster United States
D. W. F. van Krevelen Netherlands
Ronald Poelman Netherlands
Hartmut Seichter Austria
Eduardo Veas Austria
Marcos Fernández Spain
Xiaoliang Bai China
Alessandro Mulloni relative to Takafumi Taketomi Japan Takafumi Taketomi's profile →
Citations per field
00.5×1.5×1.8×
Takafumi Taketomi · 1×
Citations per year

Countries citing papers authored by Alessandro Mulloni

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Mulloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Mulloni

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Mulloni. A scholar is included among the top collaborators of Alessandro Mulloni 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 Alessandro Mulloni. Alessandro Mulloni 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 3
3 11
4
Experiences with the Impact of Tracking Technology in Mobile Augmented Reality Evaluations
10
5
Exploiting sensors on mobile phones to improve wide-area localization
15
6 18
7 148
8 3
9 55
10 25
11 101
12
Techniques for view transition in multi-camera outdoor environments
17
13 16
14 94
15 27
16 232
17 170
18 287
19 19
20 12

About Alessandro Mulloni

Alessandro Mulloni is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Augmented Reality Applications (19 papers), Robotics and Sensor-Based Localization (9 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Human-Computer Interaction (428 citations), Computer Vision and Pattern Recognition (1.1k citations) and Aerospace Engineering (543 citations). Alessandro Mulloni has collaborated with scholars based in Austria, United Kingdom and New Zealand. Frequent co-authors include Dieter Schmalstieg, Daniel Wägner, Gerhard Reitmayr, Tom Drummond, Tobias Langlotz, Hartmut Seichter, István Barakonyi, Gerhard Schall, Daniel Wagner and Andreas Dünser. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Pervasive Computing and Computers & Graphics.

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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