Murali Krishna Enduri

478 citations
65 papers · 241 indexed · h-index 10
Topics
Complex Network Analysis Techniques (24 papers)Opinion Dynamics and Social Influence (15 papers)Advanced Graph Neural Networks (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSolar Energy

In The Last Decade

Murali Krishna Enduri

42 papers receiving 234 citations

Peers

Murali Krishna Enduri
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 93
  • Artificial Intelligence 59
  • Public Health, Environmental and Occupational Health 32
  • Information Systems 23
  • Computer Networks and Communications 19
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Pei-Duo Yu Taiwan
Siqi Chen China
Suoyi Tan China
Nicholas C. Valler United States
Norbert Blenn Netherlands
Roberto Alfieri Italy
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Fabrizio Altarelli Italy
Nidhi Parikh United States
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Citations per field
00.5×6.4×
Pei-Duo Yu · 1×
Citations per year

Countries citing papers authored by Murali Krishna Enduri

Since Specialization
Citations

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

Fields of papers citing papers by Murali Krishna Enduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murali Krishna Enduri. 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 Murali Krishna Enduri. The network helps show where Murali Krishna Enduri may publish in the future.

Co-authorship network of co-authors of Murali Krishna Enduri

This figure shows the co-authorship network connecting the top 25 collaborators of Murali Krishna Enduri. A scholar is included among the top collaborators of Murali Krishna Enduri 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 Murali Krishna Enduri. Murali Krishna Enduri 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
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About Murali Krishna Enduri

Murali Krishna Enduri is a scholar working on Statistical and Nonlinear Physics, Health Information Management and Artificial Intelligence, having authored 65 papers that have together received 241 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), Opinion Dynamics and Social Influence (15 papers) and Advanced Graph Neural Networks (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (93 citations), Health Information Management (16 citations) and Modeling and Simulation (15 citations). Murali Krishna Enduri has collaborated with scholars based in India, Norway and United Kingdom. Frequent co-authors include Satish Anamalamudi, Linga Reddy Cenkeramaddi, Quadri Noorulhasan Naveed, Sultan Almakdi, Jenhui Chen, Mohammed S. Alshehri, Hemlata Sharma, Md Habibur Rahman, Ch. Venkata Reddy and Kakarla Raghava Reddy. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Solar Energy.

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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