G.S. Deep
Impact in
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- Transition Metal Oxide Nanomaterials
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- Gas Sensing Nanomaterials and Sensors
- Advanced MEMS and NEMS Technologies
- Advanced Memory and Neural Computing
Papers in
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- Sensor Technology and Measurement Systems 21
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- Advanced MEMS and NEMS Technologies 5
- Co-authors
- A.M.N. Lima (29 shared papers)Raimundo C. S. Freire (36 shared papers)H. Neff (11 shared papers)L.A.L. de Almeida (11 shared papers)A. Oliveira (10 shared papers)José Sérgio da Rocha Neto (11 shared papers)I. A. Khrebtov (3 shared papers)Sérgio Daher (2 shared papers)
In The Last Decade
G.S. Deep
53 papers receiving 413 citations
Peers
Comparison fields: 5 of 63
- Polymers and Plastics 93
- Electrical and Electronic Engineering 214
- Computer Networks and Communications 82
- Electronic, Optical and Magnetic Materials 62
- Control and Systems Engineering 58
Countries citing papers authored by G.S. Deep
This map shows the geographic impact of G.S. Deep'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.S. Deep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.S. Deep more than expected).
Fields of papers citing papers by G.S. Deep
This network shows the impact of papers produced by G.S. Deep. 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.S. Deep. The network helps show where G.S. Deep may publish in the future.
Co-authors
The 22 scholars most cited alongside G.S. Deep, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 57 | |
| 2 | 2000 | 28 | |
| 3 | 1994 | 23 | |
| 4 | 2001 | 22 | |
| 5 | 2009 | 22 | |
| 6 | 2001 | 16 | |
| 7 | 2001 | 15 | |
| 8 | 1996 | 15 | |
| 9 | 2003 | 15 | |
| 10 | 1992 | 15 | |
| 11 | 1998 | 13 | |
| 12 | 2003 | 12 | |
| 13 | 2003 | 12 | |
| 14 | 1998 | 11 | |
| 15 | 2000 | 9 | |
| 16 | 2002 | 9 | |
| 17 | 2002 | 7 | |
| 18 | 2002 | 7 | |
| 19 | 1999 | 7 | |
| 20 | 2002 | 6 |
About G.S. Deep
G.S. Deep is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Biomedical Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 57 papers that have together received 433 indexed citations. Recurring topics across this work include Sensor Technology and Measurement Systems (21 papers), Advanced Sensor Technologies Research (11 papers), Magnetic Properties and Applications (9 papers), Transition Metal Oxide Nanomaterials (7 papers), Mechanical and Optical Resonators (7 papers), Flow Measurement and Analysis (6 papers), Neural Networks and Applications (5 papers) and Advanced MEMS and NEMS Technologies (5 papers). The work is most often cited by research in Polymers and Plastics (93 citations), Electrical and Electronic Engineering (214 citations), Computer Networks and Communications (82 citations), Electronic, Optical and Magnetic Materials (62 citations) and Control and Systems Engineering (58 citations). G.S. Deep has collaborated with scholars based in Brazil, Russia and France. Frequent co-authors include A.M.N. Lima, Raimundo C. S. Freire, H. Neff, L.A.L. de Almeida, A. Oliveira, José Sérgio da Rocha Neto, I. A. Khrebtov, Sérgio Daher, Sebastian Yuri Cavalcanti Catunda and Edson Guedes da Costa. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Solar Energy Engineering, Applied Physics Letters, Review of Scientific Instruments and IEEE Transactions on Power Delivery.
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.