G. Sahoo
Impact in
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- Stock Market Forecasting Methods
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Advanced Clustering Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 14
- Advanced Clustering Algorithms Research 9
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- Cloud Computing and Resource Management 16
- Co-authors
- Yugal Kumar (13 shared papers)Ritanjali Majhi (6 shared papers)Ganapati Panda (3 shared papers)Bharat Bhushan (6 shared papers)G. K. Panda (3 shared papers)Babita Majhi (1 shared paper)Shabana Mehfuz (3 shared papers)Ravi Ranjan (1 shared paper)
- Journals
- Expert Systems with Applications (3 papers)Soft Computing (2 papers)Genomics (1 paper)International Journal of Procurement Management (1 paper)Microsystem Technologies (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
G. Sahoo
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Management Science and Operations Research 245
- Artificial Intelligence 611
- Computer Networks and Communications 313
- Information Systems 289
- Signal Processing 127
Countries citing papers authored by G. Sahoo
This map shows the geographic impact of G. Sahoo'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 G. Sahoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sahoo more than expected).
Fields of papers citing papers by G. Sahoo
This network shows the impact of papers produced by G. Sahoo. 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 G. Sahoo. The network helps show where G. Sahoo may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Sahoo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 115 | |
| 2 | 2009 | 101 | |
| 3 | 2007 | 84 | |
| 4 | 2017 | 63 | |
| 5 | 2015 | 62 | |
| 6 | 2014 | 50 | |
| 7 | 2013 | 44 | |
| 8 | 2013 | 41 | |
| 9 | 2007 | 37 | |
| 10 | 2018 | 36 | |
| 11 | 2007 | 34 | |
| 12 | 2014 | 33 | |
| 13 | 2014 | 33 | |
| 14 | 2015 | 29 | |
| 15 | 2008 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 2015 | 26 | |
| 18 | 2010 | 26 | |
| 19 | 2014 | 26 | |
| 20 | 2010 | 23 |
About G. Sahoo
G. Sahoo is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), Metaheuristic Optimization Algorithms Research (14 papers), Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (12 papers), IoT and Edge/Fog Computing (10 papers), Distributed and Parallel Computing Systems (10 papers), Mobile Ad Hoc Networks (9 papers) and Advanced Clustering Algorithms Research (9 papers). The work is most often cited by research in Management Science and Operations Research (245 citations), Artificial Intelligence (611 citations), Computer Networks and Communications (313 citations), Information Systems (289 citations) and Signal Processing (127 citations). G. Sahoo has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Yugal Kumar, Ritanjali Majhi, Ganapati Panda, Bharat Bhushan, G. K. Panda, Babita Majhi, Shabana Mehfuz, Ravi Ranjan, Rajesh Tiwari and V. S. Shankar Sriram. Their work appears in journals such as Expert Systems with Applications, Soft Computing, Genomics, International Journal of Procurement Management and Microsystem Technologies.
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.