Prashanth Mannem

400 total citations
15 papers, 222 citations indexed

About

Prashanth Mannem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Prashanth Mannem has authored 15 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Prashanth Mannem's work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Text Readability and Simplification (5 papers). Prashanth Mannem is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Text Readability and Simplification (5 papers). Prashanth Mannem collaborates with scholars based in India and United States. Prashanth Mannem's co-authors include Rashmi Prasad, Aravind K. Joshi, Akshar Bharati, Yashaswi Verma, Xiaoli Z. Fern, Ankush Gupta, Prasad Tadepalli, Chao Ma, Janardhan Rao Doppa and C. V. Jawahar and has published in prestigious journals such as Empirical Methods in Natural Language Processing, National Conference on Artificial Intelligence and International Joint Conference on Natural Language Processing.

In The Last Decade

Prashanth Mannem

14 papers receiving 194 citations

Peers

Prashanth Mannem
Saloni Potdar United States
Prashanth Mannem
Citations per year, relative to Prashanth Mannem Prashanth Mannem (= 1×) peers Saloni Potdar

Countries citing papers authored by Prashanth Mannem

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Mannem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Mannem

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

All Works

15 of 15 papers shown
1.
Xie, Jun, Chao Ma, Janardhan Rao Doppa, et al.. (2015). Learning Greedy Policies for the Easy-First Framework. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 7 indexed citations
2.
Ma, Chao, Janardhan Rao Doppa, Prashanth Mannem, et al.. (2014). Prune-and-Score: Learning for Greedy Coreference Resolution. 2115–2126. 17 indexed citations
3.
Mannem, Prashanth, et al.. (2013). Statistical Morphological Analyzer for Hindi. International Joint Conference on Natural Language Processing. 1007–1011. 2 indexed citations
4.
Mannem, Prashanth, et al.. (2013). A Statistical Approach to Prediction of Empty Categories in Hindi Dependency Treebank. 91–96. 2 indexed citations
5.
Mannem, Prashanth, et al.. (2013). Context Based Statistical Morphological Analyzer and its Effect on Hindi Dependency Parsing. 119–128. 4 indexed citations
6.
Verma, Yashaswi, Ankush Gupta, Prashanth Mannem, & C. V. Jawahar. (2013). Generating Image Descriptions Using Semantic Similarities in the Output Space. 288–293. 10 indexed citations
7.
Mannem, Prashanth, et al.. (2011). A New Approach to Ranking Over-Generated Questions. National Conference on Artificial Intelligence. 3 indexed citations
8.
Mannem, Prashanth, et al.. (2011). Automatic Gap-fill Question Generation from Text Books. 56–64. 67 indexed citations
9.
Mannem, Prashanth, et al.. (2011). Transferring Syntactic Relations from English to Hindi Using Alignments on Local Word Groups. International Joint Conference on Natural Language Processing. 447–455. 1 indexed citations
10.
Husain, Samar, et al.. (2011). Empty Categories in Hindi Dependency Treebank: Analysis and Recovery. 134–142. 5 indexed citations
11.
Mannem, Prashanth, et al.. (2011). Automatic Question Generation using Discourse Cues. 1–9. 40 indexed citations
12.
Mannem, Prashanth, et al.. (2011). Partial Parsing from Bitext Projections. 1597–1606. 7 indexed citations
13.
Mannem, Prashanth, Rashmi Prasad, & Aravind K. Joshi. (2010). Question Generation from Paragraphs at UPenn: QGSTEC System Description. 43 indexed citations
14.
Mannem, Prashanth, et al.. (2009). Insights into non-projectivity in Hindi. 10–10. 13 indexed citations
15.
Mannem, Prashanth. (2007). Online Learning for Deterministic Dependency Parsing. Empirical Methods in Natural Language Processing. 1139–1143. 1 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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