Ganesh Ramakrishnan

2.1k total citations
104 papers, 914 citations indexed

About

Ganesh Ramakrishnan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ganesh Ramakrishnan has authored 104 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 23 papers in Information Systems and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ganesh Ramakrishnan's work include Topic Modeling (47 papers), Natural Language Processing Techniques (45 papers) and Text and Document Classification Technologies (14 papers). Ganesh Ramakrishnan is often cited by papers focused on Topic Modeling (47 papers), Natural Language Processing Techniques (45 papers) and Text and Document Classification Technologies (14 papers). Ganesh Ramakrishnan collaborates with scholars based in India, United States and Australia. Ganesh Ramakrishnan's co-authors include Soumen Chakrabarti, Amit Singh, Pushpak Bhattacharyya, Rishabh Iyer, Yuan-Fang Li, Vishwajeet Kumar, Sachindra Joshi, Ashutosh Joshi, Somnath Banerjee and Sunita Sarawagi and has published in prestigious journals such as Neurocomputing, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

Ganesh Ramakrishnan

86 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesh Ramakrishnan India 14 744 212 153 120 63 104 914
Mathias Niepert United States 16 801 1.1× 204 1.0× 204 1.3× 182 1.5× 71 1.1× 60 970
Brian Milch United States 12 687 0.9× 206 1.0× 57 0.4× 280 2.3× 116 1.8× 19 924
Sang‐goo Lee South Korea 16 490 0.7× 379 1.8× 185 1.2× 46 0.4× 74 1.2× 69 857
Stephan Seufert Germany 9 365 0.5× 109 0.5× 175 1.1× 89 0.7× 156 2.5× 13 593
Baoxu Shi United States 11 499 0.7× 138 0.7× 72 0.5× 135 1.1× 51 0.8× 21 651
Georges Dupret United States 14 283 0.4× 553 2.6× 142 0.9× 78 0.7× 85 1.3× 28 818
Maya Ramanath Germany 14 634 0.9× 275 1.3× 129 0.8× 115 1.0× 253 4.0× 53 871
Tanveer A. Faruquie India 15 340 0.5× 183 0.9× 84 0.5× 52 0.4× 110 1.7× 47 585

Countries citing papers authored by Ganesh Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh Ramakrishnan. A scholar is included among the top collaborators of Ganesh Ramakrishnan 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 Ganesh Ramakrishnan. Ganesh Ramakrishnan 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
3.
Ramakrishnan, Ganesh, et al.. (2023). UDAAN - Machine Learning based Post-Editing tool for Document Translation. 263–267.
4.
Kumar, Vishwajeet, et al.. (2019). ParaQG: A System for Generating Questions and Answers from Paragraphs. 175–180. 8 indexed citations
5.
Kumar, Vishwajeet, Ganesh Ramakrishnan, & Yuan-Fang Li. (2019). Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text. 812–821. 23 indexed citations
6.
Kumar, Vishwajeet, Ganesh Ramakrishnan, & Yuan-Fang Li. (2018). A framework for automatic question generation from text using deep reinforcement learning.. arXiv (Cornell University). 24 indexed citations
7.
Haffari, Gholamreza, et al.. (2015). Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. 892–900. 2 indexed citations
8.
Ramakrishnan, Ganesh, et al.. (2015). Generalized hierarchical kernel learning. Journal of Machine Learning Research. 16(1). 617–652. 12 indexed citations
9.
Ramakrishnan, Ganesh, et al.. (2014). Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 8–15.
10.
Kumar, Vishwajeet, et al.. (2013). Enriching concept search across semantic web ontologies. Monash University Research Portal (Monash University). 93–96. 1 indexed citations
11.
Ramakrishnan, Ganesh, et al.. (2013). SATTY : Word Sense Induction Application in Web Search Clustering. Joint Conference on Lexical and Computational Semantics. 2. 207–211. 3 indexed citations
12.
Ramakrishnan, Ganesh, et al.. (2013). Learning to Generate Diversified Query Interpretations using Biconvex Optimization. International Joint Conference on Natural Language Processing. 733–739. 1 indexed citations
13.
Bhattacharyya, Pushpak, et al.. (2012). Error tracking in search engine development. International Conference on Computational Linguistics. 221–228. 1 indexed citations
14.
Ramakrishnan, Ganesh, et al.. (2012). Towards Efficient Named-Entity Rule Induction for Customizability. Empirical Methods in Natural Language Processing. 128–138. 8 indexed citations
15.
Qin, Qin, Qing‐Guo Wang, Shuzhi Sam Ge, & Ganesh Ramakrishnan. (2011). Chinese Stock Price and Volatility Predictions with Multiple Technical Indicators. 3(4). 209–219. 7 indexed citations
16.
Ramakrishnan, Ganesh, et al.. (2011). Efficient Rule Ensemble Learning using Hierarchical Kernels. International Conference on Machine Learning. 161–168. 8 indexed citations
17.
Joshi, Sachindra, et al.. (2008). Learning Decision Lists with Known Rules for Text Mining. International Joint Conference on Natural Language Processing. 835–840. 3 indexed citations
18.
Ramakrishnan, Ganesh, et al.. (2004). A Gloss-centered Algorithm for Disambiguation. Meeting of the Association for Computational Linguistics. 217–221. 5 indexed citations
19.
Ramakrishnan, Ganesh, et al.. (2003). Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations.. Text REtrieval Conference. 5 indexed citations
20.
Ramakrishnan, Ganesh & Pushpak Bhattacharyya. (2003). Text Representation with WordNet Synsets using Soft Sense Disambiguation.. 214–227. 5 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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