G. D. Sharma
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 10%
- Mechanics of Materials
- Analytical Chemistry top 10%
- Co-authors
- V. A. KamathJ.J. BurnsShirish PatilDavid O. OgbeS. P. GodboleMadhumita PandaSantanu Khataniar
- Topics
- Geological Studies and Exploration (6 papers)Methane Hydrates and Related Phenomena (5 papers)Hydrocarbon exploration and reservoir analysis (5 papers)
- Partner nations
- United States
In The Last Decade
G. D. Sharma
14 papers receiving 436 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 250
- Computer Vision and Pattern Recognition 123
- Ocean Engineering 73
- Mechanics of Materials 72
- Analytical Chemistry 57
Countries citing papers authored by G. D. Sharma
This map shows the geographic impact of G. D. Sharma'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. D. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. D. Sharma more than expected).
Fields of papers citing papers by G. D. Sharma
This network shows the impact of papers produced by G. D. Sharma. 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. D. Sharma. The network helps show where G. D. Sharma may publish in the future.
Co-authorship network of co-authors of G. D. Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of G. D. Sharma. A scholar is included among the top collaborators of G. D. Sharma 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 G. D. Sharma. G. D. Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Assessment of resource and recovery potential of Ugnu tar sands, north slope, Alaska | 1 |
| 2 | Reservoir characterization of Schrader Bluff heavy oil pool, Milne Point Unit, North Slope, Alaska | 1 |
| 3 | 54 | |
| 4 | Natural Gas Hydrate Resources Of The Alaskan Arctic And Their Recovery Potential | 2 |
| 5 | 5 | |
| 6 | Miscible Displacement of Heavy West Sak Crude by Solvents in Slim Tubebreakdown → | 327 |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 20 | |
| 10 | ERTS-1 observations of sea surface circulation and sediment transport, Cook Inlet, Alaska | 10 |
| 11 | Sea-surface circulation, sediment transport, and marine mammal distribution, Alaska continental shelf | 7 |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 6 |
About G. D. Sharma
G. D. Sharma is a scholar working on Geology, Environmental Chemistry and Ocean Engineering, having authored 15 papers that have together received 472 indexed citations. Recurring topics across this work include Geological Studies and Exploration (6 papers), Methane Hydrates and Related Phenomena (5 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). The work is most often cited by research in Artificial Intelligence (250 citations), Computer Vision and Pattern Recognition (123 citations) and Analytical Chemistry (57 citations). G. D. Sharma has collaborated with scholars based in United States. Frequent co-authors include V. A. Kamath, J.J. Burns, Shirish Patil, David O. Ogbe, S. P. Godbole, Madhumita Panda and Santanu Khataniar. Their work appears in journals such as Geological Society of America Bulletin, AAPG Bulletin and Journal of Sedimentary Research.
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.