Takayuki Osogami

59 papers receiving 748 citations

Peers

Takayuki Osogami
Comparison fields: 5 of 79
  • Computer Networks and Communications 380
  • Management Information Systems 259
  • Electrical and Electronic Engineering 183
  • Information Systems 159
  • Artificial Intelligence 116
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Cathy H. Xia United States
Christoph Lindemann Germany
Marco Gribaudo Italy
Shoji Kasahara Japan
Gary Tan Singapore
Brunilde Sansò Canada
Mauro Iacono Italy
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Libero Nigro Italy
Guy Pujolle France
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Citations per field
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Citations per year

Countries citing papers authored by Takayuki Osogami

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Osogami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Osogami

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Osogami. A scholar is included among the top collaborators of Takayuki Osogami 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 Takayuki Osogami. Takayuki Osogami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Bidirectional Learning for Time-series Models with Hidden Units
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7
Gated probabilistic matrix factorization: learning users' attention from missing values
6
8
Truncating shortest path search for efficient map-matching
4
9
Robust partially observable Markov decision process
11
10 7
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Restricted Boltzmann machines modeling human choice
14
12
Identifying the Optimal Road Closure with Simulation
2
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Improved integer programming approaches for chance-constrained stochastic programming
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Solving inverse problem of Markov chain with partial observations
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Map matching with inverse reinforcement learning
28
16 22
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Robustness and risk-sensitivity in Markov decision processes
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19 7
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About Takayuki Osogami

Takayuki Osogami is a scholar working on Management Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 64 papers that have together received 801 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (25 papers), Network Traffic and Congestion Control (13 papers) and Distributed systems and fault tolerance (11 papers). The work is most often cited by research in Management Information Systems (259 citations), Computer Networks and Communications (380 citations) and Management Science and Operations Research (116 citations). Takayuki Osogami has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Mor Harchol‐Balter, Adam Wierman, Alan Scheller‐Wolf, Rudy Raymond, Sakyasingha Dasgupta, Hiroki Yanagisawa, Makoto Otsuka, Tsuyoshi Idé, Toshinari Itoko and Mark S. Squillante. Their work appears in journals such as Scientific Reports, Operations Research and IBM Journal of Research and Development.

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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