Raghava Mutharaju

20 papers receiving 83 citations

Peers

Raghava Mutharaju
Comparison fields: 5 of 37
  • Artificial Intelligence 73
  • Computer Networks and Communications 31
  • Information Systems 29
  • Molecular Biology 12
  • Computer Vision and Pattern Recognition 11
Replace Luiz André P. Paes Leme with:
Luiz André P. Paes Leme Brazil
Andreas Langegger Austria
Knud Möller Ireland
Ivan Ermilov Germany
Xin Rong United States
Anne-Marie Vercoustre Australia
Iovka Boneva France
Mehdi Assefi United States
Christian Halaschek-Wiener United States
Michele Pasin United Kingdom
Raghava Mutharaju relative to Luiz André P. Paes Leme Brazil Luiz André P. Paes Leme's profile →
Citations per field
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Luiz André P. Paes Leme · 1×
Citations per year

Countries citing papers authored by Raghava Mutharaju

Since Specialization
Citations

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

Fields of papers citing papers by Raghava Mutharaju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghava Mutharaju

This figure shows the co-authorship network connecting the top 25 collaborators of Raghava Mutharaju. A scholar is included among the top collaborators of Raghava Mutharaju 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 Raghava Mutharaju. Raghava Mutharaju 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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 5
6 5
7 1
8
EmEL++: Embeddings for EL++ Description Logic.
2
9 2
10
Ontology learning from text
0
11 6
12 14
13
Distributed Rule-Based Ontology Reasoning
1
14
Distributed OWL EL Reasoning: The Story So Far
2
15
DistEL: a distributed EL+ ontology classifier
5
16
D-SPARQ: distributed, scalable and efficient RDF query engine
8
17
Scale Reasoning with Fuzzy- EL + Ontologies based on MapReduce
4
18
Twitris: Socially Influenced Browsing
2
19
A MapReduce Algorithm for EL
25
20
Distributed Reasoning with EL++ using MapReduce
3

About Raghava Mutharaju

Raghava Mutharaju is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 25 papers that have together received 92 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Service-Oriented Architecture and Web Services (7 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (73 citations), Computer Networks and Communications (31 citations) and Information Systems (29 citations). Raghava Mutharaju has collaborated with scholars based in United States, India and China. Frequent co-authors include Pascal Hitzler, Frederick Maier, Guilin Qi, Sherif Sakr, Sotiris Batsakis, Jeff Z. Pan, Alessandra Sala, Sumit Bhatia, Jacopo Urbani and Ilias Tachmazidis. Their work appears in journals such as IEEE Access, IEEE Transactions on Affective Computing and The Knowledge Engineering Review.

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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