Michael Ulm

851 citations
26 papers · 568 · h-index 9

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

24 papers receiving 530 citations

Peers

Michael Ulm
Comparison fields: 5 of 74
  • Transportation 405
  • Building and Construction 97
  • Global and Planetary Change 136
  • Geography, Planning and Development 28
  • Applied Mathematics 44
Replace Yingxiang Yang with:
Yingxiang Yang United States
Haifeng Niu United States
Bryan Raney Switzerland
Xi Zhu United States
Massimiliano Luca Italy
Ansgar Kirchner Germany
Alexandros Efentakis Greece
Sara Saeedi Iran
Dev Oliver United States
Venkata M. V. Gunturi India
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Citations per field
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012224
2 2015187
3 201523
4 200423
5 200217
6 201215
7 201311
8 201210
9 19989
10 20158
11 20217
12 19997
13 20145
14
Asymptotics of a new population model with quiescence
19964
15
Discovering urban activity patterns in cell phone data
20154
16 20164
17 20142
18 20122
19
Identifying Congestion Patterns in Urban Road Networks Using Floating Car Data
20151
20 20161

About Michael Ulm

Michael Ulm is a scholar working on Transportation, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Obstetrics and Gynecology and Applied Mathematics, having authored 26 papers that have together received 568 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (5 papers), Transportation Planning and Optimization (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (3 papers), Smart Parking Systems Research (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Transportation (405 citations), Building and Construction (97 citations), Global and Planetary Change (136 citations), Geography, Planning and Development (28 citations) and Applied Mathematics (44 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, Peter Takáč, Pavel Drábek and Alexandra Millonig. Their work appears in journals such as Indiana University Mathematics Journal, International Journal of Gynecological Cancer, Positivity, SAE technical papers on CD-ROM/SAE technical paper series and Obstetrics and Gynecology.

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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