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Researcher · Daito Bunka University · Japan

Seiroku Sakai

Seiroku Sakai publishes mostly in Ecology, Evolution, Behavior and Systematics, Genetics and Plant Science, on topics such as Plant and animal studies, Fossil Insects in Amber and Insect and Arachnid Ecology and Behavior.

OpenAlex
World rank
#1,510,385
of 1,633,909 ranked researchers
Rank in Japan
#103,455
of 114,622
Works
15
Citations
0

What does Seiroku Sakai research?

Ecology, Evolution, Behavior and Systematics: 54.5%Genetics: 27.3%Plant Science: 9.1%Artificial Intelligence: 9.1%55%top field
Ecology, Evolution, Behavior and Systematics54.5%Genetics27.3%Plant Science9.1%Artificial Intelligence9.1%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Ecology, Evolution, Behavior and Systematics55% of their works
  2. 2Genetics27% of their works
  3. 3Plant Science9% of their works
  4. 4Artificial Intelligence9% of their works

Research topics

Which keywords describe Seiroku Sakai's research?

The keywords of their largest research topics: Amber Fossils, Ecosystem Services, Genomics, Insect Evolution, Pollinator Decline, Social Insects, Clustering Algorithms and K-means.

Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.

All 10 words, with their numbers
  1. Amber Fossils31 topic
  2. Ecosystem Services31 topic
  3. Genomics31 topic
  4. Insect Evolution31 topic
  5. Pollinator Decline31 topic
  6. Social Insects31 topic
  7. Clustering Algorithms11 topic
  8. K-means11 topic
  9. Rice11 topic
  10. Water Management11 topic

Where does Seiroku Sakai work?

Seiroku Sakai's main affiliation in the publication record is Daito Bunka University, Japan.

How many publications and citations does Seiroku Sakai have?

Science Explorer counts 15 works and 0 citations for Seiroku Sakai, ranking #1,510,385 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.