Alka Indurkhya

24 total papers · 860 total citations
18 papers, 634 citations indexed

About

Alka Indurkhya is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Clinical Psychology. According to data from OpenAlex, Alka Indurkhya has authored 18 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Clinical Psychology. Recurrent topics in Alka Indurkhya's work include Advanced Causal Inference Techniques (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Alka Indurkhya is often cited by papers focused on Advanced Causal Inference Techniques (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Alka Indurkhya collaborates with scholars based in United States, Germany and Tanzania. Alka Indurkhya's co-authors include Marie C. McCormick, Nandita Mitra, Marie Diener‐West, Haya R. Rubin, Michael Boyle, Deborah Schrag, Jutta Witten, Wilfried Karmaus, H. Kruse and Alexander von Eye and has published in prestigious journals such as Journal of the American Statistical Association, PEDIATRICS and Journal of the American Geriatrics Society.

In The Last Decade

Alka Indurkhya

18 papers receiving 602 citations

Author Peers

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

Author						Papers	Cites
Alka Indurkhya	321	124	113	110	104	18	634
JeanHee Moon	252 0.8×	157 1.3×	22 0.2×	104 0.9×	65 0.6×	15	556
Else‐Karin Grøholt	241 0.8×	90 0.7×	52 0.5×	53 0.5×	168 1.6×	22	718
A. Lowe	453 1.4×	116 0.9×	45 0.4×	133 1.2×	54 0.5×	10	708
Minghua L Chen	167 0.5×	89 0.7×	191 1.7×	37 0.3×	105 1.0×	14	567
Virginia C. Li	141 0.4×	28 0.2×	240 2.1×	52 0.5×	65 0.6×	17	661
Michael J. Cangelosi	76 0.2×	114 0.9×	70 0.6×	30 0.3×	53 0.5×	23	666
Ryan Crowley	341 1.1×	53 0.4×	33 0.3×	423 3.8×	69 0.7×	25	756
Romuladus E. Azuine	201 0.6×	114 0.9×	26 0.2×	26 0.2×	156 1.5×	28	634
M. H. Boyle	165 0.5×	154 1.2×	27 0.2×	28 0.3×	122 1.2×	10	591
Steve Whitman	53 0.2×	27 0.2×	64 0.6×	36 0.3×	78 0.8×	15	571

Countries citing papers authored by Alka Indurkhya

Since Specialization

Citations

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

Fields of papers citing papers by Alka Indurkhya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alka Indurkhya

This figure shows the co-authorship network connecting the top 25 collaborators of Alka Indurkhya. A scholar is included among the top collaborators of Alka Indurkhya 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 Alka Indurkhya. Alka Indurkhya 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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