Ashish Ghosh

370 papers receiving 8.1k citations

Ashish Ghosh's Hit Papers

An outliers detection and elimination framework in classification task of data mining 2023 · 138 citations
1380+1+2Years since publication4080120

Peers

Ashish Ghosh
Comparison fields: 5 of 189
  • Media Technology 1.5k
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 1.9k
  • Civil and Structural Engineering 1.1k
  • Atmospheric Science 827
Replace Naif Alajlan with:
Naif Alajlan Saudi Arabia
Han Wang China
Masashi Sugiyama Japan
Zheng Liu China
Martin Hagan United States
Dan Zhang China
Yan Wang China
Louis Wehenkel Belgium
Rajesh N. Davé United States
Deyi Li China
Ashish Ghosh relative to Naif Alajlan Saudi Arabia Naif Alajlan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ashish Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ashish Ghosh, 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 Ashish Ghosh Line = papers co-authored together Ashish Ghosh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 393 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010269
2 2018204
3 1997193
4 1989191
5 2006173
6 2003157
7 2007155
8 1997155
9 2005153
10 1995150
11
An outliers detection and elimination framework in classification task of data mining
Hit paper breakdown →
2023138
12 2012132
13 2008129
14 2000118
15 2009115
16 1997113
17 2007112
18 196397
19 200694
20 199393

About Ashish Ghosh

Ashish Ghosh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Mechanics of Materials and Mechanical Engineering, having authored 393 papers that have together received 8.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (53 papers), Remote Sensing and Land Use (38 papers), Metaheuristic Optimization Algorithms Research (36 papers), Fatigue and fracture mechanics (28 papers), Neural Networks and Applications (26 papers), Evolutionary Algorithms and Applications (25 papers), Video Surveillance and Tracking Methods (25 papers) and Nuclear Engineering Thermal-Hydraulics (23 papers). The work is most often cited by research in Media Technology (1.5k citations), Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (1.9k citations), Civil and Structural Engineering (1.1k citations) and Atmospheric Science (827 citations). Ashish Ghosh has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Susmita Ghosh, Sankar K. Pal, Kapilesh Bhargava, Pasupati Mukerjee, David Lubkeman, Satchidananda Dehuri, S. Ramanujam, Yasuhiro Mori, S. Tsutsui and B. Uma Shankar. Their work appears in journals such as Nuclear Engineering and Design, Applied Soft Computing, Information Sciences, Kerntechnik and International Journal of Pressure Vessels and Piping.

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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