Guruduth Banavar

2.9k total citations · 1 hit paper
46 papers, 1.5k citations indexed

About

Guruduth Banavar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Guruduth Banavar has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Guruduth Banavar's work include Peer-to-Peer Network Technologies (6 papers), Gut microbiota and health (6 papers) and Distributed systems and fault tolerance (6 papers). Guruduth Banavar is often cited by papers focused on Peer-to-Peer Network Technologies (6 papers), Gut microbiota and health (6 papers) and Distributed systems and fault tolerance (6 papers). Guruduth Banavar collaborates with scholars based in United States, India and Australia. Guruduth Banavar's co-authors include Milind Naphade, Robert Morris, Colin Harrison, Daniel Sturman, Rob Strom, Tushar Chandra, Abraham Bernstein, Jeremy B. Sussman, Jonathan Munson and Daby Sow and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Computer.

In The Last Decade

Guruduth Banavar

41 papers receiving 1.3k citations

Hit Papers

Smarter Cities and Their Innovation Challenges 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guruduth Banavar United States 17 796 273 257 198 165 46 1.5k
Achilles Kameas Greece 18 368 0.5× 310 1.1× 365 1.4× 267 1.3× 81 0.5× 149 1.4k
Axel Küpper Germany 15 449 0.6× 359 1.3× 239 0.9× 259 1.3× 42 0.3× 86 1.4k
Rebeca P. Dı́az Redondo Spain 19 302 0.4× 568 2.1× 341 1.3× 402 2.0× 43 0.3× 145 1.9k
Dirk Draheim Estonia 19 517 0.6× 531 1.9× 81 0.3× 447 2.3× 75 0.5× 124 1.6k
Francesco Colace Italy 23 213 0.3× 447 1.6× 334 1.3× 616 3.1× 63 0.4× 152 1.5k
Chi‐Chun Lo Taiwan 23 667 0.8× 673 2.5× 168 0.7× 410 2.1× 39 0.2× 120 1.6k
Cinzia Cappiello Italy 19 588 0.7× 865 3.2× 149 0.6× 587 3.0× 34 0.2× 93 2.3k
Rebecca Montanari Italy 22 842 1.1× 573 2.1× 410 1.6× 318 1.6× 18 0.1× 97 1.5k
Davy Preuveneers Belgium 19 729 0.9× 609 2.2× 411 1.6× 510 2.6× 28 0.2× 134 1.6k
John Soldatos Greece 19 485 0.6× 349 1.3× 181 0.7× 248 1.3× 57 0.3× 106 1.3k

Countries citing papers authored by Guruduth Banavar

Since Specialization
Citations

This map shows the geographic impact of Guruduth Banavar'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 Guruduth Banavar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guruduth Banavar more than expected).

Fields of papers citing papers by Guruduth Banavar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guruduth Banavar. 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 Guruduth Banavar. The network helps show where Guruduth Banavar may publish in the future.

Co-authorship network of co-authors of Guruduth Banavar

This figure shows the co-authorship network connecting the top 25 collaborators of Guruduth Banavar. A scholar is included among the top collaborators of Guruduth Banavar 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 Guruduth Banavar. Guruduth Banavar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cannon, Mark, et al.. (2024). Salivary Transcriptome and Mitochondrial Analysis of Autism Spectrum Disorder Children Compared to Healthy Controls. SHILAP Revista de lepidopterología. 5(3). 276–290. 1 indexed citations
2.
Patridge, Eric, Matthew M. Molusky, Angel Janevski, et al.. (2024). Microbial functional pathways based on metatranscriptomic profiling enable effective saliva-based health assessments for precision wellness. Computational and Structural Biotechnology Journal. 23. 834–842.
3.
Shen, Nan, et al.. (2023). Data-Driven Precision Nutrition Improves Clinical Outcomes and Risk Scores for IBS, Depression, Anxiety, and T2D. American Journal of Lifestyle Medicine. 6 indexed citations
4.
Torres, Pedro J., et al.. (2023). An accurate aging clock developed from large-scale gut microbiome and human gene expression data. iScience. 27(1). 108538–108538. 16 indexed citations
5.
Banavar, Guruduth, Cristina Julián, Pedro J. Torres, et al.. (2023). Detecting salivary host and microbiome RNA signature for aiding diagnosis of oral and throat cancer. Oral Oncology. 145. 106480–106480. 16 indexed citations
6.
Cai, Ying, et al.. (2023). A Clinically Validated Human Saliva Metatranscriptomic Test for Global Systems Biology Studies. BioTechniques. 74(1). 31–44. 2 indexed citations
7.
Towe, Maxwell, et al.. (2023). Comparison of the gut microbiome composition between men with erectile dysfunction and a matched cohort: a pilot study. Andrology. 12(2). 374–379. 5 indexed citations
8.
Shen, Nan, et al.. (2022). Pathogen detection and characterization from throat swabs using unbiased metatranscriptomic analyses. International Journal of Infectious Diseases. 122. 260–265. 1 indexed citations
9.
Banavar, Guruduth, Senthilkumar Rajagopal, Kai Dun Tang, et al.. (2021). The salivary metatranscriptome as an accurate diagnostic indicator of oral cancer. npj Genomic Medicine. 6(1). 105–105. 24 indexed citations
10.
Patridge, Eric, Ying Cai, Ally Perlina, et al.. (2021). Gut Microbiome Activity Contributes to Prediction of Individual Variation in Glycemic Response in Adults. Diabetes Therapy. 13(1). 89–111. 21 indexed citations
11.
Horne, James A., Benjamin Pelle, Guruduth Banavar, et al.. (2019). A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health. International Journal of Genomics. 2019. 1–9. 19 indexed citations
12.
Banavar, Guruduth. (2016). Cognitive computing: From breakthroughs in the lab to applications on the field. Bulletin of the American Physical Society. 2015. 1–1.
13.
Banavar, Guruduth. (2015). Watson and the Era of Cognitive Computing. 413–413. 2 indexed citations
14.
Narendra, Nanjangud C., Karthikeyan Ponnalagu, Biplav Srivastava, & Guruduth Banavar. (2008). Variation-Oriented Engineering (VOE): Enhancing Reusability of SOA-based Solutions. 257–264. 15 indexed citations
15.
Sow, Daby, David P. Olshefski, Mandis Beigi, & Guruduth Banavar. (2003). Prefetching based on web usage mining. 262–281. 7 indexed citations
16.
Banavar, Guruduth, Marc Kaplan, K. Shaw, et al.. (2003). Information flow based event distribution middleware. 27. 114–121. 36 indexed citations
17.
Sow, Daby, Guruduth Banavar, John Davis, Jeremy B. Sussman, & Mugizi Robert Rwebangira. (2001). Preparing the Edge of the Network for Pervasive Content Delivery. Journal of the Neurological Sciences. 154(1). 101–5. 1 indexed citations
18.
Astley, Mark, et al.. (2000). Exploiting IP multicast in content-based publish-subscribe systems. Lecture notes in computer science. 185–207. 113 indexed citations
19.
Bhola, Sumeer, Guruduth Banavar, & Mustaque Ahamad. (1998). Responsiveness and consistency tradeoffs in interactive groupware. 324–324. 13 indexed citations
20.
Strom, Rob, et al.. (1998). Concurrency control and view notification algorithms for collaborative replicated objects. IEEE Transactions on Computers. 47(4). 458–471. 28 indexed citations

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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