Genshiro Kitagawa

9.2k total citations · 3 hit papers
88 papers, 6.0k citations indexed

About

Genshiro Kitagawa is a scholar working on Artificial Intelligence, Control and Systems Engineering and Economics and Econometrics. According to data from OpenAlex, Genshiro Kitagawa has authored 88 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 27 papers in Control and Systems Engineering and 13 papers in Economics and Econometrics. Recurrent topics in Genshiro Kitagawa's work include Fault Detection and Control Systems (24 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Time Series Analysis and Forecasting (11 papers). Genshiro Kitagawa is often cited by papers focused on Fault Detection and Control Systems (24 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Time Series Analysis and Forecasting (11 papers). Genshiro Kitagawa collaborates with scholars based in Japan, China and United States. Genshiro Kitagawa's co-authors include Will Gersch, Sadanori Konishi, Tetsuo Takanami, Hirotugu Akaike, Kunio Tanabe, Emanuel Parzen, Kohei Ohtsu, Eric R. Ziegel, Makio Ishiguro and Norio Matsumoto and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Automatica.

In The Last Decade

Genshiro Kitagawa

83 papers receiving 5.5k citations

Hit Papers

Monte Carlo Filter and Smoother for Non-Gaussian Nonlinea... 1987 2026 2000 2013 1996 2007 1987 400 800 1.2k

Peers

Genshiro Kitagawa
Comparison fields: 5 of 196
  • Artificial Intelligence 2.4k
  • Control and Systems Engineering 1.1k
  • Statistics and Probability 810
  • Economics and Econometrics 612
  • Finance 573
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Citations per field, relative to Genshiro Kitagawa
Genshiro Kitagawa · 1×
Citations per year, relative to Genshiro Kitagawa
Genshiro Kitagawa · 1×

Countries citing papers authored by Genshiro Kitagawa

Since Specialization
Citations

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

Fields of papers citing papers by Genshiro Kitagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genshiro Kitagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Genshiro Kitagawa. A scholar is included among the top collaborators of Genshiro Kitagawa 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 Genshiro Kitagawa. Genshiro Kitagawa 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
# Work Indexed citations
1
3
2 3
3 27
4 0
5 1
6 3
7 1
8 7
9 12
10
Knowledge Discovery and Self-Organizing State Space Model
11
11 143
12 1
13 100
14 14
15 3
16
Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models breakdown →
1472
17
A new efficient procedure for the estimation of onset times of seismic waves.
1
18 1
19 173
20 77

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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