Haak Laurel
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Gender Studies top 1%
- Diversity and Career in Medicine
Papers in
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- Scientific Computing and Data Management 14
-
- Research Data Management Practices 15
- Co-authors
- Donna K. GintherRaynard KingtonWalter T. SchafferJoshua D. SchnellR. Douglas FieldsBeth StevensVittorio GalloJames T. Russell
- Journals
- Science (3 papers)Journal of Neuroscience (2 papers)Journal of the History of the Neurosciences (2 papers)Learned Publishing (2 papers)Insights the UKSG journal (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Haak Laurel
39 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Developmental Neuroscience 256
- Gender Studies 479
- Statistics, Probability and Uncertainty 222
- Cellular and Molecular Neuroscience 479
- Physiology 95
Countries citing papers authored by Haak Laurel
This map shows the geographic impact of Haak Laurel'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 Haak Laurel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haak Laurel more than expected).
Fields of papers citing papers by Haak Laurel
This network shows the impact of papers produced by Haak Laurel. 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 Haak Laurel. The network helps show where Haak Laurel may publish in the future.
Co-authors
The 25 scholars most cited alongside Haak Laurel, 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 | 2025 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 0 | |
| 6 | 2017 | 0 | |
| 7 | 2017 | 0 | |
| 8 | 2016 | 2 | |
| 9 | 2015 | 4 | |
| 10 | 2014 | 5 | |
| 11 | 2013 | 8 | |
| 12 | 2012 | 174 | |
| 13 | 2012 | 62 | |
| 14 | 2006 | 9 | |
| 15 | 2002 | 9 | |
| 16 | 2002 | 436 | |
| 17 | 2000 | 25 | |
| 18 | 2000 | 177 | |
| 19 | 1999 | 32 | |
| 20 | 1991 | 15 |
About Haak Laurel
Haak Laurel is a scholar working on Information Systems and Management, Information Systems, Management Science and Operations Research, Statistics, Probability and Uncertainty and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (14 papers), Data Quality and Management (9 papers), Neuroscience and Neuropharmacology Research (7 papers), scientometrics and bibliometrics research (5 papers), Health and Medical Research Impacts (4 papers), Semantic Web and Ontologies (4 papers) and Diversity and Career in Medicine (3 papers). The work is most often cited by research in Developmental Neuroscience (256 citations), Gender Studies (479 citations), Statistics, Probability and Uncertainty (222 citations), Cellular and Molecular Neuroscience (479 citations) and Physiology (95 citations). Haak Laurel has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Donna K. Ginther, Raynard Kington, Walter T. Schaffer, Joshua D. Schnell, R. Douglas Fields, Beth Stevens, Vittorio Gallo, James T. Russell, Laura Paglione and Martin Fenner. Their work appears in journals such as Science, Journal of Neuroscience, Journal of the History of the Neurosciences, Learned Publishing and Insights the UKSG journal.
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.