T. V. Geetha

585 total citations
38 papers, 392 citations indexed

About

T. V. Geetha is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, T. V. Geetha has authored 38 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 16 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in T. V. Geetha's work include Semantic Web and Ontologies (12 papers), Web Data Mining and Analysis (9 papers) and Multi-Agent Systems and Negotiation (6 papers). T. V. Geetha is often cited by papers focused on Semantic Web and Ontologies (12 papers), Web Data Mining and Analysis (9 papers) and Multi-Agent Systems and Negotiation (6 papers). T. V. Geetha collaborates with scholars based in India. T. V. Geetha's co-authors include S. Sendhilkumar, Rajeswari Sridhar, S. Swamynathan, A. Kannan, Archana Singh, K. Saruladha and V. Kavitha and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and Decision Support Systems.

In The Last Decade

T. V. Geetha

37 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. V. Geetha India	9	151	89	78	59	44	38	392
Bazil Pârv Romania	11	254 1.7×	73 0.8×	83 1.1×	63 1.1×	16 0.4×	34	464
Péricles Miranda Brazil	13	295 2.0×	62 0.7×	88 1.1×	56 0.9×	15 0.3×	70	504
Hamouda Chantar Libya	10	337 2.2×	135 1.5×	67 0.9×	67 1.1×	27 0.6×	13	502
Adán José-García France	8	209 1.4×	49 0.6×	41 0.5×	59 1.0×	33 0.8×	16	348
Yi‐Hung Huang Taiwan	9	205 1.4×	63 0.7×	31 0.4×	57 1.0×	12 0.3×	25	360
Changjie Tang China	11	239 1.6×	110 1.2×	52 0.7×	36 0.6×	93 2.1×	80	445
Hema Banati India	11	263 1.7×	163 1.8×	47 0.6×	42 0.7×	28 0.6×	64	471
S. Balamurugan India	12	263 1.7×	128 1.4×	68 0.9×	77 1.3×	21 0.5×	100	548
Tirath Prasad Sahu India	13	307 2.0×	77 0.9×	44 0.6×	66 1.1×	13 0.3×	44	482
Valerie Guralnik United States	13	188 1.2×	109 1.2×	44 0.6×	99 1.7×	69 1.6×	22	375

Countries citing papers authored by T. V. Geetha

Since Specialization

Citations

This map shows the geographic impact of T. V. Geetha'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 T. V. Geetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. V. Geetha more than expected).

Fields of papers citing papers by T. V. Geetha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. V. Geetha. 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 T. V. Geetha. The network helps show where T. V. Geetha may publish in the future.

Co-authorship network of co-authors of T. V. Geetha

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

All Works

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20 of 20 papers shown

Geetha, T. V., et al.. (2023). Network alignment and link prediction using event-based embedding in aligned heterogeneous dynamic social networks. Applied Intelligence. 53(20). 24638–24654. 5 indexed citations

Geetha, T. V., et al.. (2020). A neural network framework for predicting dynamic variations in heterogeneous social networks. PLoS ONE. 15(4). e0231842–e0231842. 6 indexed citations

Geetha, T. V., et al.. (2018). A meta-learning framework using representation learning to predict drug-drug interaction. Journal of Biomedical Informatics. 84. 136–147. 45 indexed citations

Geetha, T. V., et al.. (2018). Entity resolution framework using rough set blocking for heterogeneous web of data. Journal of Intelligent & Fuzzy Systems. 34(1). 659–675. 3 indexed citations

Geetha, T. V., et al.. (2017). Rough set theory for document clustering: A review. Journal of Intelligent & Fuzzy Systems. 32(3). 2165–2185. 18 indexed citations

Geetha, T. V., et al.. (2017). Resolving Entity on A Large scale: DEtermining Linked Entities and Grouping similar Attributes represented in assorted TErminologies. Distributed and Parallel Databases. 35(3-4). 303–332. 1 indexed citations

Geetha, T. V., et al.. (2017). PSOM2—partitioning-based scalable ontology matching using MapReduce. Sadhana. 42(12). 2009–2024. 4 indexed citations

Singh, Archana, et al.. (2015). Patent search and trend analysis. 501–506. 7 indexed citations

Geetha, T. V., et al.. (2014). The modified concept based focused crawling using ontology. Journal of Web Engineering. 13(5). 525–538. 3 indexed citations

10.

Geetha, T. V.. (2013). A diverse versions and variations of Particle Swarm Optimization (PSO) algorithm for real world complex optimization problems. 2 indexed citations

11.

Geetha, T. V., et al.. (2009). Reasoning and Evolution of Consistent Ontologies using NORM. 2. 77–94. 1 indexed citations

12.

Geetha, T. V., et al.. (2008). Gurukulam: Reasoning based Learning System using Extended Description Logics. 5. 14–32. 1 indexed citations

13.

Sendhilkumar, S. & T. V. Geetha. (2008). Ranking and Evaluation of Automatically Constructed Semantic Search Paths. 1. 133–148. 1 indexed citations

14.

Geetha, T. V., et al.. (2008). An Indian logic-based argument representation formalism for knowledge-sharing. Logic Journal of IGPL. 17(1). 55–76. 2 indexed citations

15.

Geetha, T. V., et al.. (2008). Result evaluation strategies for peer selection in P2P. 1–4. 1 indexed citations

16.

Sendhilkumar, S. & T. V. Geetha. (2007). Personalized Web Search Using a Modified User Conceptual Index Based on a Search Flow Graph.. Indian International Conference on Artificial Intelligence. 66(4). 1751–1762. 1 indexed citations

17.

Geetha, T. V., et al.. (2007). I-KARe - A Rational Approach to Knowledge Acquisition and Reasoning using Indian Logic Based Knowledge Models.. Indian International Conference on Artificial Intelligence. 1206–1222. 2 indexed citations

18.

Geetha, T. V., et al.. (2007). The Logic of Reasoning by Procedural Argumentation for Knowledge Sharing. 77–81. 9 indexed citations

19.

Geetha, T. V., et al.. (2006). A mathematical model for argument procedures based on Indian philosophy. 311–316. 3 indexed citations

20.

Sendhilkumar, S. & T. V. Geetha. (2005). Web Search Using Personalized User Conceptual Index.. Indian International Conference on Artificial Intelligence. 89. 1719–1728. 2 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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