Suvajyoti Guha
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computational Theory and Mathematics top 1%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Samir KhullerLiadan O'CallaghanNita MishraR. MotwaniAdam MeyersonKyuseok ShimR. RastogiMoses Charikar
- Topics
- Infection Control and Ventilation (12 papers)Mass Spectrometry Techniques and Applications (9 papers)Microfluidic and Capillary Electrophoresis Applications (9 papers)
- Journals
- PLoS ONEAnalytical ChemistryLangmuir
- Partner nations
- United StatesThailandEgypt
In The Last Decade
Suvajyoti Guha
58 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computer Networks and Communications 1.5k
- Artificial Intelligence 1.5k
- Signal Processing 987
- Computational Theory and Mathematics 488
- Electrical and Electronic Engineering 446
Countries citing papers authored by Suvajyoti Guha
This map shows the geographic impact of Suvajyoti Guha'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 Suvajyoti Guha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvajyoti Guha more than expected).
Fields of papers citing papers by Suvajyoti Guha
This network shows the impact of papers produced by Suvajyoti Guha. 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 Suvajyoti Guha. The network helps show where Suvajyoti Guha may publish in the future.
Co-authorship network of co-authors of Suvajyoti Guha
This figure shows the co-authorship network connecting the top 25 collaborators of Suvajyoti Guha. A scholar is included among the top collaborators of Suvajyoti Guha 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 Suvajyoti Guha. Suvajyoti Guha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 20 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 35 | |
| 15 | 73 | |
| 16 | Process analytical technology for recombinant pandemic flu vaccines: viral ultrastructure, aggregation, and binding | 2 |
| 17 | 22 | |
| 18 | 360 | |
| 19 | Clustering data streamsbreakdown → | 412 |
| 20 | 372 |
About Suvajyoti Guha
Suvajyoti Guha is a scholar working on Computer Graphics and Computer-Aided Design, Spectroscopy and Signal Processing, having authored 59 papers that have together received 4.2k indexed citations. Recurring topics across this work include Infection Control and Ventilation (12 papers), Mass Spectrometry Techniques and Applications (9 papers) and Microfluidic and Capillary Electrophoresis Applications (9 papers). The work is most often cited by research in Signal Processing (987 citations), Computer Networks and Communications (1.5k citations) and Artificial Intelligence (1.5k citations). Suvajyoti Guha has collaborated with scholars based in United States, Thailand and Egypt. Frequent co-authors include Samir Khuller, Liadan O'Callaghan, Nita Mishra, R. Motwani, Adam Meyerson, Kyuseok Shim, R. Rastogi, Moses Charikar, Michael R. Zachariah and Michael J. Tarlov. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Langmuir.
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.