John G. Haaga

83 total papers · 1.0k total citations
47 papers, 723 citations indexed

About

John G. Haaga is a scholar working on General Health Professions, Nutrition and Dietetics and Sociology and Political Science. According to data from OpenAlex, John G. Haaga has authored 47 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 10 papers in Nutrition and Dietetics and 9 papers in Sociology and Political Science. Recurrent topics in John G. Haaga's work include Child Nutrition and Water Access (9 papers), Demographic Trends and Gender Preferences (5 papers) and Substance Abuse Treatment and Outcomes (5 papers). John G. Haaga is often cited by papers focused on Child Nutrition and Water Access (9 papers), Demographic Trends and Gender Preferences (5 papers) and Substance Abuse Treatment and Outcomes (5 papers). John G. Haaga collaborates with scholars based in United States, Canada and Botswana. John G. Haaga's co-authors include Peter Reuter, Toni Richards, Ellen Harrison, Mark A. R.Kleiman, Amy O. Tsui, Judith N. Wasserheit, John B. Mason, Robert J. Willis, Christine E. Peterson and Nai Peng Tey and has published in prestigious journals such as American Journal of Public Health, Annals of the New York Academy of Sciences and Population and Development Review.

In The Last Decade

John G. Haaga

43 papers receiving 605 citations

Author Peers

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

Author						Papers	Cites
John G. Haaga	236	187	169	163	107	47	723
Amy Raub	271 1.1×	147 0.8×	142 0.8×	246 1.5×	105 1.0×	57	802
Amod Kumar Poudyal	256 1.1×	157 0.8×	263 1.6×	202 1.2×	176 1.6×	42	866
Ratna Patel	100 0.4×	99 0.5×	116 0.7×	241 1.5×	160 1.5×	52	705
Carol Underwood	192 0.8×	106 0.6×	162 1.0×	342 2.1×	45 0.4×	45	769
Balaiah Donta	201 0.9×	72 0.4×	249 1.5×	328 2.0×	46 0.4×	35	780
Alison Jacknowitz	85 0.4×	137 0.7×	89 0.5×	341 2.1×	126 1.2×	35	797
T. V. Sekher	166 0.7×	45 0.2×	151 0.9×	196 1.2×	59 0.6×	61	736
Lorenzo Moreno	113 0.5×	44 0.2×	200 1.2×	181 1.1×	52 0.5×	43	694
Jennifer Parsons	203 0.9×	100 0.5×	164 1.0×	312 1.9×	20 0.2×	26	788
Carinne Brody	275 1.2×	181 1.0×	88 0.5×	242 1.5×	37 0.3×	44	828

Countries citing papers authored by John G. Haaga

Since Specialization

Citations

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

Fields of papers citing papers by John G. Haaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Haaga. 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 John G. Haaga. The network helps show where John G. Haaga may publish in the future.

Co-authorship network of co-authors of John G. Haaga

This figure shows the co-authorship network connecting the top 25 collaborators of John G. Haaga. A scholar is included among the top collaborators of John G. Haaga 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 John G. Haaga. John G. Haaga 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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