Pritibha Singh

36 total papers · 783 total citations
30 papers, 562 citations indexed

About

Pritibha Singh is a scholar working on Economics and Econometrics, Psychiatry and Mental health and Statistics and Probability. According to data from OpenAlex, Pritibha Singh has authored 30 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 8 papers in Psychiatry and Mental health and 8 papers in Statistics and Probability. Recurrent topics in Pritibha Singh's work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (8 papers) and Advanced Causal Inference Techniques (7 papers). Pritibha Singh is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (8 papers) and Advanced Causal Inference Techniques (7 papers). Pritibha Singh collaborates with scholars based in United States, Switzerland and Germany. Pritibha Singh's co-authors include Michael O’Kelly, Craig Mallinckrodt, Bohdana Ratitch, Geert Molenberghs, Ilya Lipkovich, Nadia Harbeck, Kimberly Blackwell, Roumen Nakov, Lars Bauer and Jonathan W. Bartlett and has published in prestigious journals such as Nature Reviews Drug Discovery, Cancer Research and Annals of Oncology.

In The Last Decade

Pritibha Singh

29 papers receiving 555 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pritibha Singh	169	115	109	105	96	30	562
Kelly McQuarrie	96 0.6×	46 0.4×	30 0.3×	65 0.6×	26 0.3×	33	629
Nathalie C. Støer	151 0.9×	13 0.1×	46 0.4×	37 0.4×	58 0.6×	48	584
Philip H. Sheridan	46 0.3×	53 0.5×	35 0.3×	15 0.1×	24 0.3×	22	662
William L. Greene	30 0.2×	45 0.4×	46 0.4×	45 0.4×	42 0.4×	34	629
Tyler G. Kinzy	83 0.5×	89 0.8×	6 0.1×	22 0.2×	65 0.7×	33	631
Mani Lakshminarayanan	38 0.2×	36 0.3×	84 0.8×	58 0.6×	11 0.1×	29	539
Eugène Cox	180 1.1×	16 0.1×	33 0.3×	35 0.3×	39 0.4×	22	619
Katina Aleksovska	112 0.7×	42 0.4×	10 0.1×	42 0.4×	14 0.1×	13	560
Huah Shin Ng	160 0.9×	48 0.4×	11 0.1×	53 0.5×	16 0.2×	36	540
R Sambrook	206 1.2×	60 0.5×	9 0.1×	17 0.2×	28 0.3×	18	583

Countries citing papers authored by Pritibha Singh

Since Specialization

Citations

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

Fields of papers citing papers by Pritibha Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritibha Singh

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

All Works

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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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