Raja Hashim Ali

1.6k citations
57 papers · 762 indexed · h-index 16
Topics
Genomics and Phylogenetic Studies (6 papers)Network Security and Intrusion Detection (5 papers)Bioinformatics and Genomic Networks (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
PakistanCanadaGermany

In The Last Decade

Raja Hashim Ali

40 papers receiving 749 citations

Peers

Raja Hashim Ali
Comparison fields: 5 of 111
  • Artificial Intelligence 250
  • Molecular Biology 127
  • Computer Vision and Pattern Recognition 106
  • Signal Processing 83
  • Computer Networks and Communications 78
Replace K. Meenakshi with:
K. Meenakshi India
Olusola Abayomi‐Alli Nigeria
Benjamin Rosman South Africa
Joe Tekli Lebanon
Matthias Hemmje Germany
Isidoros Perikos Greece
Alessia Amelio Italy
Geraldo Zimbrão Brazil
Martin Doerr Greece
Vaibhav Rajan Singapore
Raja Hashim Ali relative to K. Meenakshi India K. Meenakshi's profile →
Citations per field
00.5×6.0×
K. Meenakshi · 1×
Citations per year

Countries citing papers authored by Raja Hashim Ali

Since Specialization
Citations

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

Fields of papers citing papers by Raja Hashim Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raja Hashim Ali. 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 Raja Hashim Ali. The network helps show where Raja Hashim Ali may publish in the future.

Co-authorship network of co-authors of Raja Hashim Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Raja Hashim Ali. A scholar is included among the top collaborators of Raja Hashim Ali 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 Raja Hashim Ali. Raja Hashim Ali 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
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5 0
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14 9
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16 29
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18 34
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About Raja Hashim Ali

Raja Hashim Ali is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 57 papers that have together received 762 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Network Security and Intrusion Detection (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Artificial Intelligence (250 citations), Signal Processing (83 citations) and Computer Vision and Pattern Recognition (106 citations). Raja Hashim Ali has collaborated with scholars based in Pakistan, Canada and Germany. Frequent co-authors include Simon Whelan, Nisar Ali, Ali Zeeshan Ijaz, Zain ul Abideen, Zahid Halim, Talha Ali Khan, Lars Arvestad, Usama Arshad, Shanshan Tu and Muhammad Waqas. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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