287 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of TokyoJP65 papers
- Kyoto UniversityJP56 papers
- National Astronomical Observatory of JapanJP28 papers
- Japan Science and Technology AgencyJP16 papers
- Tohoku UniversityJP16 papers
- Kyushu UniversityJP13 papers
- Institute of Space and Astronautical ScienceJP12 papers
- Nagoya UniversityJP11 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Pennsylvania State UniversityUS8 papers
- The University of OsakaJP7 papers
- University of California, BerkeleyUS7 papers
5 papers · 1 filter
Probing the faint end of the quasar luminosity function at z ~ 4 in the COSMOS field
H. Ikeda, T. Nagao, K. Matsuoka +16
We searched for quasars that are ~ 3 mag fainter than the SDSS quasars in the redshift range 3.7 < z < 4.7 in the COSMOS field to constrain the faint end of the quasar luminosity f…
Exclusive Queueing Process with Discrete Time
Chikashi Arita, Daichi Yanagisawa
In a recent study [C Arita, Phys. Rev. E 80, 051119 (2009)], an extension of the M/M/1 queueing process with the excluded-volume effect as in the totally asymmetric simple exclusio…
Mean Field Analysis of Stochastic Neural Network Models with Synaptic Depression
Yasuhiko Igarashi, Masafumi Oizumi, Masato Okada
We investigated the effects of synaptic depression on the macroscopic behavior of stochastic neural networks. Dynamical mean field equations were derived for such networks by takin…
A Condition for Cooperation in a Game on Complex Networks
Tomohiko Konno
We study a condition of favoring cooperation in a Prisoner's Dilemma game on complex networks. There are two kinds of players: cooperators and defectors. Cooperators pay a benefit…
Excluded Volume Effect in Queueing Theory
Daichi Yanagisawa, Akiyasu Tomoeda, Rui Jiang +1
We have introduced excluded volume effect, which is an important factor to model a realistic pedestrian queue, into queueing theory. The probability distributions of pedestrian num…