David Heise

970 citations
27 papers · 337 · h-index 10

Impact in

Papers in

David Heise

24 papers receiving 313 citations

Peers

David Heise
Comparison fields: 5 of 74
  • Management Information Systems 89
  • Information Systems 74
  • Developmental Biology 7
  • Cardiology and Cardiovascular Medicine 63
  • Software 12
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Citations per field
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Citations per year

Countries citing papers authored by David Heise

Since Specialization
Citations

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

Fields of papers citing papers by David Heise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside David Heise, 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 David Heise Line = papers co-authored together David Heise links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201247
2 201046
3 201040
4 201130
5 201729
6 201820
7 201118
8
Designing and utilising business indicator systems within enterprise models – Outline of a method
200817
9
ITML: A Domain-Specific Modeling Language for Supporting Business Driven IT Management
200915
10 201314
11
Asserting the inherent benefits of hands-on laboratory projects vs. computer simulations
20069
12 20198
13 20138
14
Erweiterung einer Unternehmensmodellierungsmethode zur Unterstützung des IT-Controllings.
20087
15 20206
16 20236
17 20233
18 20183
19 20152
20 20212

About David Heise

David Heise is a scholar working on Management Information Systems, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Information Systems and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 337 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (7 papers), Business Process Modeling and Analysis (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Information Technology Governance and Strategy (4 papers), Plant and animal studies (4 papers), ECG Monitoring and Analysis (4 papers), Software Engineering Research (3 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Management Information Systems (89 citations), Information Systems (74 citations), Developmental Biology (7 citations), Cardiology and Cardiovascular Medicine (63 citations) and Software (12 citations). David Heise has collaborated with scholars based in United States, Germany and Slovenia. Frequent co-authors include Marjorie Skubic, Ulrich Frank, Stefan Strecker, M.J. Devaney, Candace Galen, Nicole E. Miller‐Struttmann, Johannes Schul, Jennifer C. Geib, Zachary Miller and Bo-Yu Su. Their work appears in journals such as Information Systems Frontiers, Journal of Biomedical Informatics, PLoS ONE, International Journal of Accounting Information Systems and Frontiers in Cardiovascular Medicine.

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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