Martin Haller

439 citations
25 papers · 322 · h-index 12

Impact in

Papers in

Martin Haller

23 papers receiving 283 citations

Peers

Martin Haller
Comparison fields: 5 of 85
  • Analytical Chemistry 59
  • Signal Processing 45
  • Computer Vision and Pattern Recognition 66
  • Geophysics 35
  • Ocean Engineering 40
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Citations per year

Countries citing papers authored by Martin Haller

Since Specialization
Citations

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

Fields of papers citing papers by Martin Haller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196958
2 199945
3 202028
4 196922
5 200919
6 199516
7 197916
8 201415
9 201915
10 197814
11 201013
12 200913
13 20089
14 19707
15 20067
16
Lessons learned from successful value stream mapping (VSM)
20115
17 19954
18 20073
19
Critical design activities in house-building projects : an industrial process perspective
20123
20
STANDARDIZING THE PRE-DESIGN-PHASE FOR IMPROVED EFFICIENCY IN OFF-SITE HOUSING PROJECTS
20103

About Martin Haller

Martin Haller is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Building and Construction, Management of Technology and Innovation and Management Information Systems, having authored 25 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Video Coding and Compression Technologies (5 papers), BIM and Construction Integration (5 papers), Product Development and Customization (4 papers), Construction Project Management and Performance (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Video Analysis and Summarization (3 papers) and Occupational and environmental lung diseases (3 papers). The work is most often cited by research in Analytical Chemistry (59 citations), Signal Processing (45 citations), Computer Vision and Pattern Recognition (66 citations), Geophysics (35 citations) and Ocean Engineering (40 citations). Martin Haller has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Thomas Sikora, Teh Fu Yen, Andreas Krutz, Robert T. P. deTrevïlle, Paul Gross, Andrew H. Rankin, Martin Radtke, Lars Stehn, Sabine Maier and Weizhuo Lu. Their work appears in journals such as Environmental Research, Journal of Colloid and Interface Science, ChemPhysChem, Language Cognition and Neuroscience and American Mineralogist.

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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