Tam Pham

25 papers receiving 1.7k citations

Tam Pham's Hit Papers

NeuroKit2: A Python toolbox for neurophysiological signal processing 2021 · 727 citations
7270+1+3Years since publication200400600

Peers

Tam Pham
Comparison fields: 5 of 146
  • Cardiology and Cardiovascular Medicine 513
  • Cognitive Neuroscience 348
  • Experimental and Cognitive Psychology 231
  • Cancer Research 213
  • Oncology 376
Replace Friedrich Foerster with:
Friedrich Foerster Germany
Robert Macaulay United States
Rossana Castaldo Italy
Marco Aiello Italy
Jean‐François Knebel Switzerland
Christopher Kent United Kingdom
Lei Feng China
Paul K. Joseph India
Peter Weinstock United States
Sara Mariani United States
Tam Pham relative to Friedrich Foerster Germany Friedrich Foerster's profile →
Citations per field
00.5×3.6×
Friedrich Foerster · 1×
Citations per year

Countries citing papers authored by Tam Pham

Since Specialization
Citations

This map shows the geographic impact of Tam Pham'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 Tam Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tam Pham more than expected).

Fields of papers citing papers by Tam Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tam Pham. 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 Tam Pham. The network helps show where Tam Pham may publish in the future.

Co-authors

The 25 scholars most cited alongside Tam Pham, 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 Tam Pham Line = papers co-authored together Tam Pham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NeuroKit2: A Python toolbox for neurophysiological signal processing
Hit paper breakdown →
2021727
2
Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial
Hit paper breakdown →
2021263
3 2011216
4 2011160
5 2022115
6 201164
7 202149
8 201545
9 201034
10 201028
11 200918
12 199812
13 202111
14 20185
15 20215
16 20183
17 20213
18 20242
19 20212
20 20222

About Tam Pham

Tam Pham is a scholar working on Oncology, Cardiology and Cardiovascular Medicine, Cancer Research, Biomedical Engineering and Molecular Biology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Wound Healing and Treatments (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Mental Health Research Topics (3 papers), Burn Injury Management and Outcomes (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (513 citations), Cognitive Neuroscience (348 citations), Experimental and Cognitive Psychology (231 citations), Cancer Research (213 citations) and Oncology (376 citations). Tam Pham has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Dominique Makowski, Zen Juen Lau, Shen‐Hsing Annabel Chen, Christopher Schölzel, Jan C. Brammer, Hung Pham, Tony J. Pircher, Farideh Z. Bischoff, Stephen D. Mikolajczyk and Lisa S. Millar. Their work appears in journals such as Journal of Clinical Oncology, Journal of Burn Care & Research, Clinical & Translational Oncology, Shock and Cancer Discovery.

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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