Margaret Topf

37 total papers · 1.4k total citations
33 papers, 1.1k citations indexed

About

Margaret Topf is a scholar working on Speech and Hearing, General Health Professions and Clinical Psychology. According to data from OpenAlex, Margaret Topf has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Speech and Hearing, 8 papers in General Health Professions and 6 papers in Clinical Psychology. Recurrent topics in Margaret Topf's work include Noise Effects and Management (14 papers), Infant Development and Preterm Care (4 papers) and Hearing Loss and Rehabilitation (4 papers). Margaret Topf is often cited by papers focused on Noise Effects and Management (14 papers), Infant Development and Preterm Care (4 papers) and Hearing Loss and Rehabilitation (4 papers). Margaret Topf collaborates with scholars based in United States. Margaret Topf's co-authors include Ellis C. Dillon, Jonathan E. Davis, Donna L. Arand, Gwen van Servellen, Barbara Leake, Janice Roper, Robert L. Hanson, Allen H. Nelson and Sandra J. Weiss and has published in prestigious journals such as Journal of Applied Psychology, Journal of Advanced Nursing and Environment and Behavior.

In The Last Decade

Margaret Topf

33 papers receiving 938 citations

Author Peers

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

Author						Papers	Cites
Margaret Topf	315	278	225	215	191	33	1.1k
Nahid Rejeh	63 0.2×	244 0.9×	269 1.2×	107 0.5×	94 0.5×	109	1.2k
Meei‐Fang Lou	72 0.2×	226 0.8×	104 0.5×	161 0.7×	87 0.5×	56	1.2k
Stefan Sörensen	183 0.6×	204 0.7×	45 0.2×	114 0.5×	43 0.2×	32	1.2k
Majideh Heravi‐Karimooi	62 0.2×	218 0.8×	259 1.2×	95 0.4×	88 0.5×	90	1.1k
Berit Lindahl	71 0.2×	417 1.5×	109 0.5×	457 2.1×	37 0.2×	62	1.4k
Yelena Perkhounkova	85 0.3×	500 1.8×	133 0.6×	53 0.2×	40 0.2×	96	1.4k
Patricia De Vriendt	184 0.6×	317 1.1×	66 0.3×	19 0.1×	163 0.9×	81	1.2k
Eileen J. Burker	66 0.2×	308 1.1×	129 0.6×	63 0.3×	39 0.2×	66	1.4k
Susanne M. Cutshall	34 0.1×	293 1.1×	216 1.0×	99 0.5×	127 0.7×	53	1.5k
Leyla Khorshıd	38 0.1×	88 0.3×	159 0.7×	140 0.7×	79 0.4×	95	1.1k

Countries citing papers authored by Margaret Topf

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Topf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Topf

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