Ingvild E. Bjerke
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
-
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
- Biophysics 10
- Cell Image Analysis Techniques 10
-
- Single-cell and spatial transcriptomics 3
- Co-authors
- Jan G. Bjaalie (12 shared papers)Trygve B. Leergaard (13 shared papers)Maja Puchades (9 shared papers)Sharon C. Yates (7 shared papers)Menno P. Witter (2 shared papers)Henk J. Groenewegen (1 shared paper)Francisco Clascá (1 shared paper)Eszter A. Papp (2 shared papers)
- Journals
- Scientific Data (3 papers)eNeuro (2 papers)Nature Communications (2 papers)iScience (2 papers)Frontiers in Neuroinformatics (2 papers)
- Partner nations
- NorwayAustraliaNetherlands
In The Last Decade
Ingvild E. Bjerke
16 papers receiving 197 citations
Peers
Comparison fields: 5 of 52
- Biophysics 68
- Cognitive Neuroscience 87
- Cellular and Molecular Neuroscience 51
- Neurology 22
- Information Systems and Management 17
Countries citing papers authored by Ingvild E. Bjerke
This map shows the geographic impact of Ingvild E. Bjerke'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 Ingvild E. Bjerke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingvild E. Bjerke more than expected).
Fields of papers citing papers by Ingvild E. Bjerke
This network shows the impact of papers produced by Ingvild E. Bjerke. 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 Ingvild E. Bjerke. The network helps show where Ingvild E. Bjerke may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingvild E. Bjerke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 40 | |
| 2 | 2023 | 34 | |
| 3 | 2018 | 33 | |
| 4 | 2023 | 23 | |
| 5 | 2018 | 14 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 8 | |
| 8 | 2018 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 0 |
About Ingvild E. Bjerke
Ingvild E. Bjerke is a scholar working on Biophysics, Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Information Systems and Management, having authored 17 papers that have together received 198 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Functional Brain Connectivity Studies (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (3 papers), Single-cell and spatial transcriptomics (3 papers), Scientific Computing and Data Management (3 papers), Medical Image Segmentation Techniques (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Biophysics (68 citations), Cognitive Neuroscience (87 citations), Cellular and Molecular Neuroscience (51 citations), Neurology (22 citations) and Information Systems and Management (17 citations). Ingvild E. Bjerke has collaborated with scholars based in Norway, Australia and Netherlands. Frequent co-authors include Jan G. Bjaalie, Trygve B. Leergaard, Maja Puchades, Sharon C. Yates, Menno P. Witter, Henk J. Groenewegen, Francisco Clascá, Eszter A. Papp, Jee Hyun Kim and Ludovico Silvestri. Their work appears in journals such as Scientific Data, eNeuro, Nature Communications, iScience and Frontiers in Neuroinformatics.
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.