Koji Eguchi
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing
- Statistical and Nonlinear Physics
- Co-authors
- Victor LavrenkoNoriko KandoKeizo OyamaKazuaki KishidaHsin‐Hsi ChenSukhoon LeeYohei SekiKuang‐Hua Chen
- Topics
- Web Data Mining and Analysis (23 papers)Topic Modeling (22 papers)Information Retrieval and Search Behavior (18 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Koji Eguchi
56 papers receiving 369 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 341
- Information Systems 203
- Computer Vision and Pattern Recognition 60
- Signal Processing 41
- Statistical and Nonlinear Physics 21
Countries citing papers authored by Koji Eguchi
This map shows the geographic impact of Koji Eguchi'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 Koji Eguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Eguchi more than expected).
Fields of papers citing papers by Koji Eguchi
This network shows the impact of papers produced by Koji Eguchi. 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 Koji Eguchi. The network helps show where Koji Eguchi may publish in the future.
Co-authorship network of co-authors of Koji Eguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Eguchi. A scholar is included among the top collaborators of Koji Eguchi 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 Koji Eguchi. Koji Eguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks. | 2 |
| 3 | Locally Contextualized Smoothing of Language Models for Sentiment Sentence Retrieval | 3 |
| 4 | Opinion Retrieval Experiments Using Generative Models: Experiments for the TREC 2007 Blog Track. | 1 |
| 5 | Interactive clustering of text collections according to a user-specified criterion | 24 |
| 6 | Opinion Retrieval Experiments using Generative Models: Experiments for the TREC 2006 Blog Track | 5 |
| 7 | Analysis of multi-document viewpoint summarization using multi-dimensional genres | 5 |
| 8 | NTCIR-5 Query Expansion Experiments using Term Dependence Models | 6 |
| 9 | Overview of the Topical Classification Task at NTCIR-4 WEB | 3 |
| 10 | Overview of the NTCIR-4 WEB Navigational Retrieval Task 1. | 5 |
| 11 | User-Focused Multi-Document Summarization with Paragraph Clustering and Sentence-Type Filtering | 1 |
| 12 | An Evaluation Method of Web Search Engines Based on Users' Sense | 3 |
| 13 | Prediction of Performance on Cross-Lingual Information Retrieval by Regression Models. | 2 |
| 14 | Overview of the Informational Retrieval Task at NTCIR-4 WEB. | 12 |
| 15 | Evaluation Methods for Web Retrieval Tasks Considering Hyperlink Structure | 11 |
| 16 | System Evaluation Methods for Web Retrieval Tasks Considering Hyperlink Structure. | 1 |
| 17 | Overview of the Web Retrieval Task at the Third NTCIR Workshop | 21 |
| 18 | Overview of IR tasks. | 4 |
| 19 | Incremental Query Expansion Considering Adaptation to User's Behavior Based on Clustering the Search Results | 1 |
| 20 | Incremental Query Expansion Considering Adaptation to User's Behavior on the WWW | 1 |
About Koji Eguchi
Koji Eguchi is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 59 papers that have together received 425 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (23 papers), Topic Modeling (22 papers) and Information Retrieval and Search Behavior (18 papers). The work is most often cited by research in Artificial Intelligence (341 citations), Information Systems (203 citations) and Signal Processing (41 citations). Koji Eguchi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Victor Lavrenko, Noriko Kando, Keizo Oyama, Kazuaki Kishida, Hsin‐Hsi Chen, Sukhoon Lee, Yohei Seki, Kuang‐Hua Chen, Sung Hyon Myaeng and Masaki Aono. Their work appears in journals such as PLoS ONE, Language Resources and Evaluation and Information Retrieval.
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.