Murthy Devarakonda

1.6k citations
58 papers · 965 indexed · h-index 16

Impact in

Papers in

Murthy Devarakonda

54 papers receiving 873 citations

Peers

Murthy Devarakonda
Comparison fields: 5 of 88
  • Hardware and Architecture 264
  • Computer Networks and Communications 617
  • Health Informatics 34
  • Information Systems 258
  • Health Information Management 49
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Citations per field
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Citations per year

Countries citing papers authored by Murthy Devarakonda

Since Specialization
Citations

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

Fields of papers citing papers by Murthy Devarakonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Murthy Devarakonda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Murthy Devarakonda Line = papers co-authored together Murthy Devarakonda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 202120
3 202113
4 202032
5 201923
6 201945
7 201832
8
IBM Research System at MADE 2018: Detecting Adverse Drug Events from Electronic Health Records.
20186
9
IBM Research System at TAC 2017: Adverse Drug Reactions Extraction from Drug Labels.
201711
10
Scoring Disease-Medication Associations using Advanced NLP, Machine Learning, and Multiple Content Sources.
20162
11
Toward Generating Domain-Specific / Personalized Problem Lists from Electronic Medical Records.
20156
12 20082
13 20051
14 20020
15
Programming network components using NetPebbles: an early report
19984
16
Object Caching in a CORBA Compliant System.
199616
17
Evaluation of design alternative for a cluster file system
199511
18 19951
19 199359
20 199049

About Murthy Devarakonda

Murthy Devarakonda is a scholar working on Computer Networks and Communications, Family Practice, Hardware and Architecture, Health Information Management and Information Systems, having authored 58 papers that have together received 965 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (18 papers), Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (14 papers), Distributed systems and fault tolerance (12 papers), Cloud Computing and Resource Management (12 papers), Distributed and Parallel Computing Systems (10 papers), Software System Performance and Reliability (10 papers) and Service-Oriented Architecture and Web Services (9 papers). The work is most often cited by research in Hardware and Architecture (264 citations), Computer Networks and Communications (617 citations), Health Informatics (34 citations), Information Systems (258 citations) and Health Information Management (49 citations). Murthy Devarakonda has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include John T. Robinson, Ravishankar K. Iyer, Jennifer J. Liang, Ajay Mohindra, Kostas Magoutis, Nikolai Joukov, Nayeem Islam, Homa Alemzadeh, Marjan Ghazisaeedi and Mohammad Sayad Haghighi. Their work appears in journals such as Journal of Biomedical Informatics, International Journal of Medical Informatics, IEEE Transactions on Parallel and Distributed Systems, ACM SIGMETRICS Performance Evaluation Review and IBM Journal of Research and Development.

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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