Richard Halpert

923 citations
7 papers · 511 indexed · 1 hit paper · h-index 5

Richard Halpert

7 papers receiving 499 citations

Hit Papers

Automated optimized parameters for T-distributed stochast...3742019202620212023100200300

Peers

Richard Halpert
Comparison fields: 5 of 132
  • Parasitology 44
  • Biophysics 36
  • Immunology 95
  • Artificial Intelligence 85
  • Infectious Diseases 42
Replace Antonia van den Elzen with:
Antonia van den Elzen United States
Andrey Kan Australia
Sang-Hoon Cha South Korea
Sonali Patil India
Hui‐Yuan Yeh Singapore
Jennifer M. Hill United States
Siyuan Shen China
Nicola Pezzotti Netherlands
Tony Sun United States
Nikolas Pontikos United Kingdom
Richard Halpert relative to Antonia van den Elzen United States Antonia van den Elzen's profile →
Citations per field
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Antonia van den Elzen · 1×
Citations per year

Countries citing papers authored by Richard Halpert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Richard Halpert Line = papers co-authored together Richard Halpert links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202123
2
Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasetsbreakdown →
2019374
3 201666
4 20164
5 20161
6 201423
7 198820

About Richard Halpert

Richard Halpert is a scholar working on Biophysics, Parasitology, Obstetrics and Gynecology, Reproductive Medicine and Genetics, having authored 7 papers that have together received 511 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Logic, Reasoning, and Knowledge (2 papers), Semantic Web and Ontologies (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Pregnancy and preeclampsia studies (1 paper), Viral Infections and Vectors (1 paper) and Vector-borne infectious diseases (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, Jennifer Snyder‐Cappione, Anna C. Belkina, Rina Anno, Meher Preethi Boorgula, John N. Aucott, Chris Cheadle, Mark J. Soloski, Jean-Noel Billaud and Andrea Swei. 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.

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