Rasiah Loganantharaj

438 total citations
27 papers, 262 citations indexed

About

Rasiah Loganantharaj is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Rasiah Loganantharaj has authored 27 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Rasiah Loganantharaj's work include Constraint Satisfaction and Optimization (8 papers), Machine Learning in Bioinformatics (5 papers) and Data Management and Algorithms (5 papers). Rasiah Loganantharaj is often cited by papers focused on Constraint Satisfaction and Optimization (8 papers), Machine Learning in Bioinformatics (5 papers) and Data Management and Algorithms (5 papers). Rasiah Loganantharaj collaborates with scholars based in United States, China and India. Rasiah Loganantharaj's co-authors include David C. Fargo, Leping Li, Weichun Huang, Paul W. Bible, Thomas A. Randall, Hari D. Upadhyaya, Yihong Wang, John L. Clifford, Marjan Trutschl and Urška Cvek and has published in prestigious journals such as Bioinformatics, PLoS ONE and Molecular Cancer.

In The Last Decade

Rasiah Loganantharaj

20 papers receiving 260 citations

Peers

Rasiah Loganantharaj
Comparison fields: 5 of 64
  • Molecular Biology 165
  • Plant Science 49
  • Genetics 44
  • Cancer Research 36
  • Agronomy and Crop Science 20
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Citations per field, relative to Rasiah Loganantharaj
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Citations per year, relative to Rasiah Loganantharaj
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Countries citing papers authored by Rasiah Loganantharaj

Since Specialization
Citations

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

Fields of papers citing papers by Rasiah Loganantharaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasiah Loganantharaj

This figure shows the co-authorship network connecting the top 25 collaborators of Rasiah Loganantharaj. A scholar is included among the top collaborators of Rasiah Loganantharaj 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 Rasiah Loganantharaj. Rasiah Loganantharaj 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
# Work Indexed citations
1 4
2 6
3 17
4 11
5 111
6 41
7 2
8 1
9 2
10 0
11 0
12
Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
2
13 2
14 1
15 7
16
Parallel deduction of connection graphs
0
17 2
18
Parallel Link Resolution of Connection Graph Refutation and Its Implementation.
2
19 0
20
Theoretical and implementational aspects of parallel link resolution in connection graphs (commutativity, dcdp parallelism, dc)
1

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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