Matti Kaisti

1.6k citations
63 papers · 1.2k indexed · 1 hit paper · h-index 16

Matti Kaisti

52 papers receiving 1.2k citations

Hit Papers

Detection principles of biological and chemical FET sensors4382017202620202023100200300400

Peers

Matti Kaisti
Comparison fields: 5 of 126
  • Bioengineering 356
  • Biomedical Engineering 722
  • Electrochemistry 95
  • Cardiology and Cardiovascular Medicine 207
  • Electrical and Electronic Engineering 410
Replace Santhisagar Vaddiraju with:
Santhisagar Vaddiraju United States
Ruyi Li China
Huanfen Yao United States
Muhammad S. Khan United States
Ali Eshkeiti United States
Haixia Yu China
Tamoghna Saha United States
Hee‐Jo Lee South Korea
Hannaneh Hojaiji United States
E.T. McAdams United Kingdom
Matti Kaisti relative to Santhisagar Vaddiraju United States Santhisagar Vaddiraju's profile →
Citations per field
00.5×10×14.8×
Santhisagar Vaddiraju · 1×
Citations per year

Countries citing papers authored by Matti Kaisti

Since Specialization
Citations

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

Fields of papers citing papers by Matti Kaisti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20250
6 20244
7 20242
8 20247
9 20246
10 20236
11 20233
12 20237
13 20223
14 20222
15 202025
16 202031
17 2019134
18 20191
19 201828
20 201845

About Matti Kaisti

Matti Kaisti is a scholar working on Cardiology and Cardiovascular Medicine, Bioengineering and Biomedical Engineering, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (31 papers), ECG Monitoring and Analysis (19 papers), Heart Rate Variability and Autonomic Control (11 papers), Hemodynamic Monitoring and Therapy (11 papers), Analytical Chemistry and Sensors (8 papers), Cardiovascular Health and Disease Prevention (8 papers), Phonocardiography and Auscultation Techniques (5 papers) and Healthcare Technology and Patient Monitoring (5 papers). The work is most often cited by research in Bioengineering (356 citations), Biomedical Engineering (722 citations) and Electrochemistry (95 citations). Matti Kaisti has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Tero Koivisto, Kalle Levón, Mikko Pänkäälä, Mojtaba Jafari Tadi, Qi Zhang, Olli Lahdenoja, Arifur Rahman, Tuija Vasankari, Tuomas Kiviniemi and Juhani Airaksinen. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

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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