Murthy V Devarakonda

1.6k citations
63 papers · 1.2k · h-index 18

Impact in

Papers in

Murthy V Devarakonda

61 papers receiving 1.1k citations

Peers

Murthy V Devarakonda
Comparison fields: 5 of 86
  • Health Informatics 84
  • Computer Networks and Communications 570
  • Hardware and Architecture 168
  • Health Information Management 72
  • Artificial Intelligence 272
Replace Renqian Luo with:
Renqian Luo China
Mehmet Kayaalp United States
Daniela Roşu United States
Kalapriya Kannan India
Ioana Baldini United States
Christos Kloukinas Z United Kingdom
Houping Xiao United States
Irene Li United States
Vincenza Carchiolo Italy
Praveen Rao United States
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Citations per field
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Citations per year

Countries citing papers authored by Murthy V Devarakonda

Since Specialization
Citations

This map shows the geographic impact of Murthy V 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 V 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 V Devarakonda more than expected).

Fields of papers citing papers by Murthy V Devarakonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Murthy V 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 V Devarakonda Line = papers co-authored together Murthy V Devarakonda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990298
2 201891
3 198974
4 199365
5 199061
6 201958
7 202039
8 201735
9 201832
10 200030
11 200828
12 201924
13
Object Caching in a CORBA Compliant System.
199622
14 202122
15 201521
16 199619
17 200318
18 200518
19 199616
20 200516

About Murthy V Devarakonda

Murthy V Devarakonda is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Health Informatics and Hardware and Architecture, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (16 papers), Biomedical Text Mining and Ontologies (14 papers), Machine Learning in Healthcare (12 papers), Advanced Software Engineering Methodologies (8 papers), Software System Performance and Reliability (7 papers), Distributed and Parallel Computing Systems (6 papers), Electronic Health Records Systems (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Health Informatics (84 citations), Computer Networks and Communications (570 citations), Hardware and Architecture (168 citations), Health Information Management (72 citations) and Artificial Intelligence (272 citations). Murthy V Devarakonda has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include John T. Robinson, Ravishankar K. Iyer, Neil Mehta, Ajay Mohindra, Jennifer J. Liang, Kostas Magoutis, Nikolai Joukov, Nayeem Islam, Homa Alemzadeh and Mustaque Ahamad. Their work appears in journals such as Journal of Biomedical Informatics, International Journal of Medical Informatics, IEEE Transactions on Parallel and Distributed Systems, IBM Journal of Research and Development and IBM Systems Journal.

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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