Ted Habermann

21 papers receiving 274 citations

Peers

Ted Habermann
Comparison fields: 5 of 60
  • Atmospheric Science 183
  • Health, Toxicology and Mutagenesis 100
  • Information Systems and Management 48
  • Global and Planetary Change 121
  • Geology 15
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Aaron Kaulfus United States
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Citations per year

Countries citing papers authored by Ted Habermann

Since Specialization
Citations

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

Fields of papers citing papers by Ted Habermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006190
2 202019
3 201011
4 20189
5 20208
6 20146
7 20136
8
IGSN e.V.: Registration and Identification Services for Physical Samples in the Digital Universe
20115
9 20195
10 20055
11 20194
12 20174
13 20203
14 20223
15 20223
16 20142
17 20232
18
Evaluation of Big Data Containers for Popular Storage, Retrieval, and Computation Primitives in Earth Science Analysis
20151
19 20051
20
Towards Developing Community Guidelines for Sharing and Reuse of Digital Data Quality Information
20201

About Ted Habermann

Ted Habermann is a scholar working on Information Systems, Information Systems and Management, Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications, having authored 24 papers that have together received 290 indexed citations. Recurring topics across this work include Research Data Management Practices (13 papers), Scientific Computing and Data Management (10 papers), Data Quality and Management (9 papers), Semantic Web and Ontologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Geographic Information Systems Studies (3 papers), Advanced Computational Techniques and Applications (2 papers) and Environmental Monitoring and Data Management (2 papers). The work is most often cited by research in Atmospheric Science (183 citations), Health, Toxicology and Mutagenesis (100 citations), Information Systems and Management (48 citations), Global and Planetary Change (121 citations) and Geology (15 citations). Ted Habermann has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jon Cartwright, A. Swanson, M. Trainer, Thomas B. Ryerson, D. D. Parrish, S. A. McKeen, F. Flocke, G. J. Frost, Steven E. Peckham and Georg Grell. Their work appears in journals such as Data Intelligence, Journal of Geophysical Research Atmospheres, Data Science Journal, Learned Publishing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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