Maya Ramanath

1.6k total citations
53 papers, 871 citations indexed

About

Maya Ramanath is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Maya Ramanath has authored 53 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 15 papers in Signal Processing. Recurrent topics in Maya Ramanath's work include Semantic Web and Ontologies (24 papers), Advanced Database Systems and Queries (18 papers) and Topic Modeling (15 papers). Maya Ramanath is often cited by papers focused on Semantic Web and Ontologies (24 papers), Advanced Database Systems and Queries (18 papers) and Topic Modeling (15 papers). Maya Ramanath collaborates with scholars based in Germany, India and Canada. Maya Ramanath's co-authors include Gerhard Weikum, Gjergji Kasneci, Fabian M. Suchanek, Shady Elbassuoni, Georgiana Ifrim, Mohamed Yahya, Klaus Berberich, Volker Tresp, Jayant R. Haritsa and Juliana Freire and has published in prestigious journals such as Communications of the ACM, Pattern Recognition and Combustion and Flame.

In The Last Decade

Maya Ramanath

50 papers receiving 789 citations

Peers

Maya Ramanath
Kunal Punera United States
Wolfgang Gatterbauer United States
Kannan Achan United States
Josh Attenberg United States
Sara Cohen Israel
Maya Ramanath
Citations per year, relative to Maya Ramanath Maya Ramanath (= 1×) peers Ralf Schenkel

Countries citing papers authored by Maya Ramanath

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ramanath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Ramanath

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Ramanath. A scholar is included among the top collaborators of Maya Ramanath 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 Maya Ramanath. Maya Ramanath 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.
Bagchi, Amitabha, et al.. (2019). ARROW: Approximating Reachability Using Random Walks Over Web-Scale Graphs. 470–481. 16 indexed citations
2.
Ramanath, Maya, et al.. (2019). Reachability in Large Graphs Using Bloom Filters. 217–224. 1 indexed citations
3.
Ramanath, Maya, et al.. (2018). Klustree. 265–272. 2 indexed citations
4.
Kumar, Manjeet, et al.. (2018). Construction and Applications of TeKnowbase. 1023–1030. 1 indexed citations
5.
Yahya, Mohamed, Klaus Berberich, Shady Elbassuoni, et al.. (2012). Natural Language Questions for the Web of Data. MPG.PuRe (Max Planck Society). 379–390. 111 indexed citations
6.
Elbassuoni, Shady, Maya Ramanath, & Gerhard Weikum. (2012). RDF Xpress. 1013–1013. 5 indexed citations
7.
Ramanath, Maya, et al.. (2012). Harmony and dissonance. 523–532. 22 indexed citations
8.
Elbassuoni, Shady, Maya Ramanath, Ralf Schenkel, & Gerhard Weikum. (2010). Searching RDF Graphs with SPARQL and Keywords. Max Planck Institute for Plasma Physics. 33(1). 16–24. 29 indexed citations
9.
Ramanath, Maya, et al.. (2010). Language-model-based pro/con classification of political text. Max Planck Institute for Plasma Physics. 747–748. 13 indexed citations
10.
Kasneci, Gjergji, Maya Ramanath, Mauro Sozio, Fabian M. Suchanek, & Gerhard Weikum. (2009). STAR: Steiner-Tree Approximation in Relationship Graphs. Proceedings - International Conference on Data Engineering. 868–879. 77 indexed citations
11.
Elbassuoni, Shady, Maya Ramanath, Ralf Schenkel, Marcin Sydow, & Gerhard Weikum. (2009). Language-model-based ranking for queries on RDF-graphs. 977–986. 52 indexed citations
12.
Ramanath, Maya, et al.. (2009). Xoom. 1112–1115. 1 indexed citations
13.
Suchanek, Fabian M., et al.. (2009). ANGIE. Proceedings of the VLDB Endowment. 2(2). 1570–1573. 4 indexed citations
14.
Elbassuoni, Shady, Maya Ramanath, & Gerhard Weikum. (2009). Language-model-based ranking in entity-relation graphs. 43–44. 1 indexed citations
15.
Ramanath, Maya, et al.. (2008). A rank-rewrite framework for summarizing XML documents. Max Planck Institute for Plasma Physics. 540–547. 8 indexed citations
16.
Ramanath, Maya, Lingzhi Zhang, Juliana Freire, & Jayant R. Haritsa. (2005). IMAX: The Big Picture of Dynamic XML Statistics.. 273–284. 4 indexed citations
17.
Ramanath, Maya, et al.. (2005). IMAX: Incremental Maintenance of Schema-Based XML Statistics. 273–284. 8 indexed citations
18.
Bohannon, Philip, Juliana Freire, Jayant R. Haritsa, et al.. (2003). Bridging the XML Relational Divide with LegoDB.. 759–761. 2 indexed citations
19.
Gargantini, Irene, et al.. (1984). Determination of the 3D border by repeated elimination of internal surfaces. Computing. 32(4). 279–295. 20 indexed citations
20.
Ramanath, Maya & Marvin Solomon. (1982). Optimal code from flow graphs. Computer Languages. 7(1). 41–52. 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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