Suvajyoti Guha

6.7k citations
59 papers · 4.2k indexed · 3 hit papers · h-index 25

Suvajyoti Guha

58 papers receiving 3.9k citations

Hit Papers

Clustering data streams: theory and practice5251998202620072016200400600

Peers

Suvajyoti Guha
Comparison fields: 5 of 162
  • Signal Processing 987
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 1.5k
  • Computational Theory and Mathematics 488
  • Computer Graphics and Computer-Aided Design 96
Replace Narsingh Deo with:
Narsingh Deo United States
Sanguthevar Rajasekaran United States
Yixin Chen United States
Ping Wang China
Raymond E. Miller United States
Feng Zou China
Li Ping China
Nageswara S. V. Rao United States
Leonid Khachiyan United States
Jon Rokne Canada
Suvajyoti Guha relative to Narsingh Deo United States Narsingh Deo's profile →
Citations per field
00.5×7.4×
Narsingh Deo · 1×
Citations per year

Countries citing papers authored by Suvajyoti Guha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202318
3 20227
4 202211
5 202115
6 20203
7 20201
8 201820
9 201520
10 201510
11 20132
12 201210
13 201211
14 201235
15 201273
16
Process analytical technology for recombinant pandemic flu vaccines: viral ultrastructure, aggregation, and binding
20112
17 201122
18 2003360
19
Clustering data streamsbreakdown →
2002412
20 1999372

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), Microfluidic and Capillary Electrophoresis Applications (9 papers), Electrohydrodynamics and Fluid Dynamics (6 papers), Complexity and Algorithms in Graphs (6 papers), Microfluidic and Bio-sensing Technologies (6 papers), Data Management and Algorithms (5 papers) and Child Nutrition and Feeding Issues (4 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.

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