Ulka B. Campbell

50 total papers · 1.4k total citations
31 papers, 992 citations indexed

About

Ulka B. Campbell is a scholar working on Statistics and Probability, Economics and Econometrics and Physiology. According to data from OpenAlex, Ulka B. Campbell has authored 31 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 11 papers in Economics and Econometrics and 6 papers in Physiology. Recurrent topics in Ulka B. Campbell's work include Advanced Causal Inference Techniques (11 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Asthma and respiratory diseases (6 papers). Ulka B. Campbell is often cited by papers focused on Advanced Causal Inference Techniques (11 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Asthma and respiratory diseases (6 papers). Ulka B. Campbell collaborates with scholars based in United States, Poland and Canada. Ulka B. Campbell's co-authors include Nicolle M. Gatto, Paul Stang, Sharon Schwartz, Jennifer Derebery, Eli O. Meltzer, Richard H. Stanford, Marlo A. Corrao, Robert F. Reynolds, Robert A. Nathan and Marianne Ulcickas Yood and has published in prestigious journals such as American Journal of Epidemiology, Social Science & Medicine and Journal of Allergy and Clinical Immunology.

In The Last Decade

Ulka B. Campbell

30 papers receiving 959 citations

Author Peers

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

Author						Papers	Cites
Ulka B. Campbell	279	279	151	127	106	31	992
Sabine Gaugris	288 1.0×	188 0.7×	162 1.1×	18 0.1×	26 0.2×	20	904
France Vrijens	304 1.1×	103 0.4×	175 1.2×	15 0.1×	42 0.4×	79	1.2k
Christel Castelli	84 0.3×	59 0.2×	119 0.8×	13 0.1×	12 0.1×	43	1.0k
Bhash Parasuraman	372 1.3×	57 0.2×	110 0.7×	15 0.1×	5 0.0×	39	1.0k
Vasily Belozeroff	308 1.1×	35 0.1×	136 0.9×	8 0.1×	5 0.0×	39	1.0k
Hüseyin Yüce	62 0.2×	66 0.2×	110 0.7×	13 0.1×	5 0.0×	87	1.1k
Jane Porter	78 0.3×	17 0.1×	48 0.3×	54 0.4×	6 0.1×	30	1.2k
Flory L. Nkoy	243 0.9×	8 0.0×	78 0.5×	13 0.1×	58 0.5×	49	909
Robyn von Maltzahn	141 0.5×	29 0.1×	70 0.5×	10 0.1×	9 0.1×	43	1.1k
Gordon H. Sun	167 0.6×	11 0.0×	96 0.6×	15 0.1×	87 0.8×	54	1.0k

Countries citing papers authored by Ulka B. Campbell

Since Specialization

Citations

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

Fields of papers citing papers by Ulka B. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulka B. Campbell. 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 Ulka B. Campbell. The network helps show where Ulka B. Campbell may publish in the future.

Co-authorship network of co-authors of Ulka B. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Ulka B. Campbell. A scholar is included among the top collaborators of Ulka B. Campbell 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 Ulka B. Campbell. Ulka B. Campbell 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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