S. Raghavan

938 total citations
17 papers, 650 citations indexed

About

S. Raghavan is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, S. Raghavan has authored 17 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in S. Raghavan's work include Bayesian Modeling and Causal Inference (4 papers), Topic Modeling (4 papers) and Genomics and Phylogenetic Studies (3 papers). S. Raghavan is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Topic Modeling (4 papers) and Genomics and Phylogenetic Studies (3 papers). S. Raghavan collaborates with scholars based in United States, India and Russia. S. Raghavan's co-authors include C. Randal Linder, Serita M. Nelesen, Tandy Warnow, Kevin Liu, Raymond J. Mooney, K. Chandrasekaran, Adriana Kovashka, Suriya Gunasekar, Joydeep Ghosh and P. Sarwesh and has published in prestigious journals such as Science, Information Sciences and PLoS Computational Biology.

In The Last Decade

S. Raghavan

17 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Raghavan United States	10	233	170	119	114	99	17	650
Aaron Steele United States	7	315 1.4×	162 1.0×	268 2.3×	61 0.5×	27 0.3×	10	702
Maria Emília M. T. Walter Brazil	13	374 1.6×	60 0.4×	153 1.3×	65 0.6×	36 0.4×	78	789
Liang Tang China	17	359 1.5×	56 0.3×	244 2.1×	54 0.5×	32 0.3×	103	861
Sébastien Harispe France	7	390 1.7×	154 0.9×	174 1.5×	41 0.4×	22 0.2×	14	735
Scott Edmunds United Kingdom	13	429 1.8×	30 0.2×	99 0.8×	78 0.7×	39 0.4×	27	800
Juntao Liu China	16	567 2.4×	123 0.7×	77 0.6×	166 1.5×	43 0.4×	46	1.1k
Loretta Auvil United States	16	387 1.7×	167 1.0×	225 1.9×	68 0.6×	13 0.1×	38	832
Andrew Butterfield Ireland	8	261 1.1×	75 0.4×	94 0.8×	35 0.3×	11 0.1×	32	649
Alan Medlar Finland	13	512 2.2×	79 0.5×	99 0.8×	79 0.7×	116 1.2×	43	1.1k
David Weese United States	20	928 4.0×	285 1.7×	235 2.0×	21 0.2×	50 0.5×	40	1.4k

Countries citing papers authored by S. Raghavan

Since Specialization

Citations

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

Fields of papers citing papers by S. Raghavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Raghavan

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

All Works

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17 of 17 papers shown

Martin, John Paul, et al.. (2024). Transformer-Based Forecasting for Sustainable Energy Consumption Toward Improving Socioeconomic Living: AI-Enabled Energy Consumption Forecasting. IEEE Systems Man and Cybernetics Magazine. 10(2). 52–60. 4 indexed citations

Raghavan, S., et al.. (2021). Workload classification in multi-vm cloud environment using deep neural network model. 79–82. 3 indexed citations

Raghavan, S., et al.. (2021). Ensemble deep neural network based quality of service prediction for cloud service recommendation. Neurocomputing. 465. 476–489. 14 indexed citations

Raghavan, S., et al.. (2020). GPUPeP: Parallel Enzymatic Numerical P System simulator with a Python-based interface. Biosystems. 196. 104186–104186. 4 indexed citations

Raghavan, S. & K. Chandrasekaran. (2020). Membrane-based models for service selection in cloud. Information Sciences. 558. 103–123. 5 indexed citations

Raghavan, S., et al.. (2015). Bat algorithm for scheduling workflow applications in cloud. 139–144. 50 indexed citations

Raghavan, S. & Raymond J. Mooney. (2013). Online inference-rule learning from natural-language extractions. National Conference on Artificial Intelligence. 57–63. 7 indexed citations

Raghavan, S., et al.. (2012). Learning to "Read Between the Lines" using Bayesian Logic Programs. Meeting of the Association for Computational Linguistics. 349–358. 9 indexed citations

Raghavan, S., Suriya Gunasekar, & Joydeep Ghosh. (2012). Review quality aware collaborative filtering. 123–130. 38 indexed citations

10.

Raghavan, S.. (2012). Bayesian Logic Programs for plan recognition and machine reading. 1 indexed citations

11.

Raghavan, S.. (2011). Bayesian abductive logic programs: a probabilistic logic for abductive reasoning. International Joint Conference on Artificial Intelligence. 2840–2841. 7 indexed citations

12.

Solorio, Thamar, et al.. (2011). Modality Specific Meta Features for Authorship Attribution in Web Forum Posts. International Joint Conference on Natural Language Processing. 156–164. 18 indexed citations

13.

Wall, Michael E., S. Raghavan, Judith D. Cohn, & John Dunbar. (2011). Genome Majority Vote Improves Gene Predictions. PLoS Computational Biology. 7(11). e1002284–e1002284. 11 indexed citations

14.

Raghavan, S., Adriana Kovashka, & Raymond J. Mooney. (2010). Authorship Attribution Using Probabilistic Context-Free Grammars. Meeting of the Association for Computational Linguistics. 38–42. 53 indexed citations

15.

Raghavan, S. & Raymond J. Mooney. (2010). Bayesian abductive logic programs. National Conference on Artificial Intelligence. 110. 82–87. 15 indexed citations

16.

Liu, Kevin, S. Raghavan, Serita M. Nelesen, C. Randal Linder, & Tandy Warnow. (2009). Rapid and Accurate Large-Scale Coestimation of Sequence Alignments and Phylogenetic Trees. Science. 324(5934). 1561–1564. 384 indexed citations

17.

Nelesen, Serita M., et al.. (2009). Barking Up The Wrong Treelength: The Impact of Gap Penalty on Alignment and Tree Accuracy. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(1). 7–21. 27 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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