Richard Halpert

923 total citations · 1 hit paper
7 papers, 511 citations indexed

About

Richard Halpert is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Richard Halpert has authored 7 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Richard Halpert's work include Single-cell and spatial transcriptomics (2 papers), Logic, Reasoning, and Knowledge (2 papers) and Semantic Web and Ontologies (2 papers). Richard Halpert is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Logic, Reasoning, and Knowledge (2 papers) and Semantic Web and Ontologies (2 papers). Richard Halpert collaborates with scholars based in United States, United Kingdom and Belgium. Richard Halpert's 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 and has published in prestigious journals such as Nature Communications, American Journal of Obstetrics and Gynecology and Gynecologic Oncology.

In The Last Decade

Richard Halpert

7 papers receiving 499 citations

Hit Papers

Automated optimized parameters for T-distributed stochast... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Halpert United States 5 130 95 85 54 44 7 511
Sonali Patil India 12 204 1.6× 81 0.9× 71 0.8× 66 1.2× 5 0.1× 39 502
Andrey Kan Australia 11 223 1.7× 371 3.9× 36 0.4× 148 2.7× 15 0.3× 23 689
Antonia van den Elzen United States 9 651 5.0× 161 1.7× 59 0.7× 69 1.3× 14 0.3× 12 977
Hui‐Yuan Yeh Singapore 21 551 4.2× 16 0.2× 113 1.3× 37 0.7× 31 0.7× 58 1.2k
Siyuan Shen China 12 125 1.0× 61 0.6× 14 0.2× 20 0.4× 26 0.6× 41 387
Sang-Hoon Cha South Korea 21 319 2.5× 135 1.4× 85 1.0× 54 1.0× 6 0.1× 85 1.3k
Jennifer M. Hill United States 8 491 3.8× 224 2.4× 34 0.4× 30 0.6× 13 0.3× 10 826
Shannon Quinn United States 9 104 0.8× 41 0.4× 45 0.5× 8 0.1× 13 0.3× 34 322
Nicola Pezzotti Netherlands 13 237 1.8× 196 2.1× 201 2.4× 57 1.1× 7 0.2× 20 904
Paul Rosenthal Germany 12 63 0.5× 285 3.0× 37 0.4× 103 1.9× 7 0.2× 46 768

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 of co-authors of Richard Halpert

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Halpert. A scholar is included among the top collaborators of Richard Halpert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Halpert. Richard Halpert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Roca, Carlos P., Oliver T. Burton, Václav Gergelits, et al.. (2021). AutoSpill is a principled framework that simplifies the analysis of multichromatic flow cytometry data. Nature Communications. 12(1). 2890–2890. 23 indexed citations
2.
Belkina, Anna C., et al.. (2019). Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets. Nature Communications. 10(1). 374 indexed citations breakdown →
3.
Bouquet, Jérôme, Mark J. Soloski, Andrea Swei, et al.. (2016). Longitudinal Transcriptome Analysis Reveals a Sustained Differential Gene Expression Signature in Patients Treated for Acute Lyme Disease. mBio. 7(1). e00100–16. 66 indexed citations
4.
Cate, Balder ten, Richard Halpert, & Phokion G. Kolaitis. (2016). Exchange-Repairs. 5(2). 77–97. 4 indexed citations
5.
Cate, Balder ten, Richard Halpert, & Phokion G. Kolaitis. (2016). Practical Query Answering in Data Exchange Under Inconsistency-Tolerant Semantics. Movebank. 1 indexed citations
6.
Cohen, Samantha, Rebecca Mosig, Erin Moshier, et al.. (2014). Interferon regulatory factor 1 is an independent predictor of platinum resistance and survival in high-grade serous ovarian carcinoma. Gynecologic Oncology. 134(3). 591–598. 23 indexed citations
7.
Anyaegbunam, Akolisa, Oded Langer, Lois Brustman, et al.. (1988). The application of uterine and umbilical artery velocimetry to the antenatal supervision of pregnancies complicated by maternal sickle hemoglobinopathies. American Journal of Obstetrics and Gynecology. 159(3). 544–547. 20 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026