Heidi Gregersen

20 papers receiving 444 citations

Peers

Heidi Gregersen
Comparison fields: 5 of 59
  • Gastroenterology 94
  • Signal Processing 184
  • Computer Networks and Communications 259
  • Artificial Intelligence 209
  • Information Systems 78
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Manjeet Singh India
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Citations per year

Countries citing papers authored by Heidi Gregersen

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Gregersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1999152
2 200266
3 200244
4
Conceptual Modeling of Time-Varying Information
199839
5 200030
6 201226
7 201322
8 200513
9 199913
10 200211
11
The Valid Web: it’s Time to Go..
199911
12
Access Structures for Moving Points
200310
13
Evaluating Temporally Extended ER-Models
19979
14
Mapping Temporal ER Diagrams to Relational Schemas
19989
15
ST USM: Bridging the Semantic Gap with a Spatio-Temporal Conceptual Model
20019
16
Managing Temporal Data A Five-Part Series
19988
17
The formal semantics of the timeER model
20067
18 20057
19 20073
20 20032

About Heidi Gregersen

Heidi Gregersen is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Gastroenterology and Surgery, having authored 20 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (12 papers), Data Management and Algorithms (9 papers), Semantic Web and Ontologies (8 papers), Gastroesophageal reflux and treatments (4 papers), Service-Oriented Architecture and Web Services (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Dysphagia Assessment and Management (1 paper) and Intestinal and Peritoneal Adhesions (1 paper). The work is most often cited by research in Gastroenterology (94 citations), Signal Processing (184 citations), Computer Networks and Communications (259 citations), Artificial Intelligence (209 citations) and Information Systems (78 citations). Heidi Gregersen has collaborated with scholars based in Denmark, Norway and Sweden. Frequent co-authors include Christian S. Jensen, J Barlow, Odd Helge Gilja, Knut Matre, Å. Heimdal, S. Ødegaard, Arnold Berstad, Trygve Hausken, Svein Ødegaard and Michael H. Böhlen. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Neurogastroenterology & Motility, BMC Ophthalmology, Colorectal Disease and IEEE Transactions on Knowledge and Data Engineering.

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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