Teri Peterson

35 total papers · 1.6k total citations
27 papers, 324 citations indexed

About

Teri Peterson is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Health Information Management. According to data from OpenAlex, Teri Peterson has authored 27 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Health Information Management. Recurrent topics in Teri Peterson's work include Electronic Health Records Systems (4 papers), Dental Research and COVID-19 (3 papers) and Innovations in Medical Education (3 papers). Teri Peterson is often cited by papers focused on Electronic Health Records Systems (4 papers), Dental Research and COVID-19 (3 papers) and Innovations in Medical Education (3 papers). Teri Peterson collaborates with scholars based in United States, Cyprus and China. Teri Peterson's co-authors include Denise M. Bowen, DeWayne R. Derryberry, Ken Aho, Sophie St‐Hilaire, L.E.P. Salazar, Linda D. Boyd, Maria M. Wong, Aman Prasad, Martin Bossart and John Loftin and has published in prestigious journals such as Methods in Ecology and Evolution, The American Statistician and Transactions of the American Fisheries Society.

In The Last Decade

Teri Peterson

25 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Teri Peterson	136	69	68	28	25	27	324
Steven Patterson	104 0.8×	65 0.9×	107 1.6×	35 1.3×	21 0.8×	32	351
David T. Ozar	193 1.4×	118 1.7×	19 0.3×	19 0.7×	23 0.9×	39	321
Paula Cristina Pelli Paiva	52 0.4×	110 1.6×	35 0.5×	11 0.4×	23 0.9×	25	294
Doralice Severo da Cruz Teixeira	100 0.7×	18 0.3×	124 1.8×	10 0.4×	11 0.4×	23	338
Shekhar Grover	73 0.5×	32 0.5×	46 0.7×	5 0.2×	52 2.1×	36	346
Carmen Beatrice Dogaru	78 0.6×	41 0.6×	89 1.3×	7 0.3×	18 0.7×	26	287
Zohreh Anbari	102 0.8×	34 0.5×	15 0.2×	21 0.8×	47 1.9×	29	228
Heidi Lyshol	80 0.6×	34 0.5×	23 0.3×	11 0.4×	43 1.7×	22	257
Raluca Iurcov	80 0.6×	22 0.3×	72 1.1×	30 1.1×	43 1.7×	28	262
Janete Maria Rebelo Vieira	106 0.8×	52 0.8×	254 3.7×	18 0.6×	15 0.6×	31	364

Countries citing papers authored by Teri Peterson

Since Specialization

Citations

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

Fields of papers citing papers by Teri Peterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teri Peterson

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