Rabindra Patnaik

2.2k citations
11 papers · 1.8k indexed · 1 hit paper · h-index 8
Topics
Statistical Methods in Clinical Trials (7 papers)Optimal Experimental Design Methods (5 papers)Computational Drug Discovery Methods (4 papers)

In The Last Decade

Rabindra Patnaik

11 papers receiving 1.7k citations

Hit Papers

Bioanalytical Method Validation—A Revisit with a Decade o...200020262008201720004008001.2k

Peers

Rabindra Patnaik
Comparison fields: 5 of 125
  • Molecular Biology 397
  • Pharmacology 368
  • Immunology 309
  • Statistics and Probability 251
  • Analytical Chemistry 250
Replace Howard Hill with:
Howard Hill United Kingdom
Gordon McKay Canada
Kenneth A. Pittman United States
R.D. McDowall United Kingdom
Shrikant V. Dighe United States
Anthony J. DeStefano United States
Iain J. McGilveray Canada
Surendra K. Bansal United States
James D. Hulse United States
Alfred Tonelli United States
Rabindra Patnaik relative to Howard Hill United Kingdom Howard Hill's profile →
Citations per field
00.5×3.0×
Howard Hill · 1×
Citations per year

Countries citing papers authored by Rabindra Patnaik

Since Specialization
Citations

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

Fields of papers citing papers by Rabindra Patnaik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rabindra Patnaik

This figure shows the co-authorship network connecting the top 25 collaborators of Rabindra Patnaik. A scholar is included among the top collaborators of Rabindra Patnaik 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 Rabindra Patnaik. Rabindra Patnaik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Bioequivalence Assessment: Approaches, Designs, and Statistical Considerations
1
2 137
3 30
4 42
5
Bioanalytical Method Validation—A Revisit with a Decade of Progressbreakdown →
1353
6 27
7 2
8 56
9 54
10 83
11 4

About Rabindra Patnaik

Rabindra Patnaik is a scholar working on Statistics and Probability, Management Science and Operations Research and Pharmaceutical Science, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Optimal Experimental Design Methods (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Toxicology (112 citations), Statistics and Probability (251 citations) and Analytical Chemistry (250 citations). Rabindra Patnaik has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Vinod P. Shah, Alfred Tonelli, Iain J. McGilveray, Howard Hill, C.T. Viswanathan, Kamal K. Midha, Mark L. Powell, Gordon McKay, Avraham Yacobi and James D. Hulse. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Statistics in Medicine and Pharmaceutical Research.

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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