Gen Nishida

400 citations
8 papers · 310 · h-index 7

Impact in

Papers in

Gen Nishida

8 papers receiving 299 citations

Peers

Gen Nishida
Comparison fields: 5 of 49
  • Computer Graphics and Computer-Aided Design 68
  • Geology 84
  • Environmental Engineering 88
  • Computer Vision and Pattern Recognition 116
  • Architecture 8
Replace Tom Kelly with:
Tom Kelly United Kingdom
Pengju Zhao China
Paweł Bogusławski United Kingdom
Liangchen Zhou China
Fei Su China
Lidia Ortega Spain
Jiju Peethambaran Canada
Paul Richens United Kingdom
Anđelo Martinović Belgium
Martijn Meijers Netherlands
Gen Nishida relative to Tom Kelly United Kingdom Tom Kelly's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gen Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Gen Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Gen Nishida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gen Nishida Line = papers co-authored together Gen Nishida links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2016118
2 201756
3 201850
4 201535
5 201834
6 20207
7 20196
8 20024

About Gen Nishida

Gen Nishida is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Geology, Control and Systems Engineering and Global and Planetary Change, having authored 8 papers that have together received 310 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (3 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Vision and Imaging (2 papers), Flood Risk Assessment and Management (2 papers), Video Surveillance and Tracking Methods (2 papers), Computer Graphics and Visualization Techniques (2 papers), Hand Gesture Recognition Systems (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (68 citations), Geology (84 citations), Environmental Engineering (88 citations), Computer Vision and Pattern Recognition (116 citations) and Architecture (8 citations). Gen Nishida has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Daniel G. Aliaga, Adrien Bousseau, Ignacio Garcia‐Dorado, Bedřich Beneš, Jacques Teller, Benjamin Dewals, Pierre Archambeau, Martin Bruwier, Ahmed Mustafà and Michel Pirotton. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, The Science of The Total Environment, Environment and Planning B Urban Analytics and City Science and Practice and Experience in Advanced Research Computing.

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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