Michael Ulm

772 citations
21 papers · 479 indexed · h-index 7

Impact in

    • Human Mobility and Location-Based Analysis
    • Urban Transport and Accessibility
    • Transportation Planning and Optimization
    • Traffic Prediction and Management Techniques

Papers in

Michael Ulm

20 papers receiving 454 citations

Peers

Michael Ulm
Comparison fields: 5 of 72
  • Transportation 377
  • Building and Construction 86
  • Global and Planetary Change 134
  • Geography, Planning and Development 25
  • Automotive Engineering 39
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Citations per year

Countries citing papers authored by Michael Ulm

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ulm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Ulm, 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 Michael Ulm Line = papers co-authored together Michael Ulm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012211
2 2015172
3 201521
4 201215
5 20139
6 19989
7 20158
8 20215
9 20145
10
Asymptotics of a new population model with quiescence
19964
11
Discovering urban activity patterns in cell phone data
20154
12 20164
13 19933
14 20122
15 20142
16
Identifying Congestion Patterns in Urban Road Networks Using Floating Car Data
20151
17 20251
18
Robust camera calibration for spacecraft motion estimation
19941
19 20001
20 20161

About Michael Ulm

Michael Ulm is a scholar working on Transportation, Computer Vision and Pattern Recognition, Obstetrics and Gynecology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 479 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (5 papers), Endometrial and Cervical Cancer Treatments (3 papers), Transportation Planning and Optimization (3 papers), Robotics and Sensor-Based Localization (2 papers), Data-Driven Disease Surveillance (2 papers), Endometriosis Research and Treatment (2 papers), Video Surveillance and Tracking Methods (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Transportation (377 citations), Building and Construction (86 citations), Global and Planetary Change (134 citations), Geography, Planning and Development (25 citations) and Automotive Engineering (39 citations). Michael Ulm has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Marta C. González, Jameson L. Toole, Dietmar Bauer, Peter Widhalm, Shounak Athavale, Yingxiang Yang, Norbert Brändle, Alexandra Millonig, Catherine Watson and Todd Tillmanns. Their work appears in journals such as Gynecologic Oncology, SAE technical papers on CD-ROM/SAE technical paper series, Obstetrics and Gynecology, Applied Geomatics and Transportation.

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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