Richard Halpert
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Distributed systems and fault tolerance 1
-
- Single-cell and spatial transcriptomics 2
- Co-authors
- Josef Špidlen (2 shared papers)Anna C. Belkina (1 shared paper)Jennifer Snyder‐Cappione (1 shared paper)Rina Anno (1 shared paper)Jérôme Bouquet (1 shared paper)Mark J. Soloski (1 shared paper)Jean-Noel Billaud (1 shared paper)Charles Y. Chiu (1 shared paper)
- Journals
- Nature Communications (2 papers)Gynecologic Oncology (1 paper)mBio (1 paper)American Journal of Obstetrics and Gynecology (1 paper)Movebank (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Richard Halpert
7 papers receiving 499 citations
Richard Halpert's Hit Papers
Peers
Comparison fields: 5 of 132
- Parasitology 44
- Biophysics 36
- Immunology 95
- Artificial Intelligence 85
- Infectious Diseases 42
Countries citing papers authored by Richard Halpert
This map shows the geographic impact of Richard Halpert'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 Richard Halpert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Halpert more than expected).
Fields of papers citing papers by Richard Halpert
This network shows the impact of papers produced by Richard Halpert. 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 Richard Halpert. The network helps show where Richard Halpert may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Halpert, 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 | Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets Hit paper breakdown → | 2019 | 374 |
| 2 | 2016 | 66 | |
| 3 | 2021 | 23 | |
| 4 | 2014 | 23 | |
| 5 | 1988 | 20 | |
| 6 | 2016 | 4 | |
| 7 | 2016 | 1 |
About Richard Halpert
Richard Halpert is a scholar working on Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Biophysics and Infectious Diseases, having authored 7 papers that have together received 511 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Semantic Web and Ontologies (2 papers), Cell Image Analysis Techniques (2 papers), Logic, Reasoning, and Knowledge (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Hemoglobinopathies and Related Disorders (1 paper), Distributed systems and fault tolerance (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Parasitology (44 citations), Biophysics (36 citations), Immunology (95 citations), Artificial Intelligence (85 citations) and Infectious Diseases (42 citations). Richard Halpert has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Josef Špidlen, Anna C. Belkina, Jennifer Snyder‐Cappione, Rina Anno, Jérôme Bouquet, Mark J. Soloski, Jean-Noel Billaud, Charles Y. Chiu, Meher Preethi Boorgula and Chris Cheadle. Their work appears in journals such as Nature Communications, Gynecologic Oncology, mBio, American Journal of Obstetrics and Gynecology and Movebank.
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.