Margit Neher

770 total citations · 1 hit paper
24 papers, 418 citations indexed

About

Margit Neher is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Health Informatics. According to data from OpenAlex, Margit Neher has authored 24 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Health Professions, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Health Informatics. Recurrent topics in Margit Neher's work include Artificial Intelligence in Healthcare and Education (6 papers), Health Policy Implementation Science (5 papers) and Health Sciences Research and Education (4 papers). Margit Neher is often cited by papers focused on Artificial Intelligence in Healthcare and Education (6 papers), Health Policy Implementation Science (5 papers) and Health Sciences Research and Education (4 papers). Margit Neher collaborates with scholars based in Sweden. Margit Neher's co-authors include Per Nilsén, Lena Petersson, Petra Svedberg, Jens Nygren, Ingrid Larsson, Daniel Tyskbo, Julie Reed, Chris Henriksson, Jan Marcusson and Ewa Wressle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and BMC Health Services Research.

In The Last Decade

Margit Neher

20 papers receiving 399 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden

2022 209 citations Lena Petersson, Ingrid Larsson et al. BMC Health Services Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Margit Neher Sweden	9	166	93	69	67	56	24	418
Pasha Normahani United Kingdom	14	64 0.4×	78 0.8×	59 0.9×	57 0.9×	21 0.4×	52	640
Dominik Domhoff Germany	11	128 0.8×	230 2.5×	120 1.7×	46 0.7×	56 1.0×	24	560
Ali Jasem Buabbas Kuwait	12	63 0.4×	78 0.8×	119 1.7×	37 0.6×	14 0.3×	20	338
Kathrin Seibert Germany	9	121 0.7×	172 1.8×	74 1.1×	44 0.7×	46 0.8×	27	402
Chukwuka Elendu Nigeria	10	96 0.6×	46 0.5×	108 1.6×	58 0.9×	21 0.4×	39	580
Sahar Borna United States	12	178 1.1×	40 0.4×	37 0.5×	59 0.9×	38 0.7×	47	398
Seyyedeh Fatemeh Mousavi Baigi Iran	11	122 0.7×	44 0.5×	80 1.2×	74 1.1×	33 0.6×	35	371
Brendan S. Kelly Ireland	11	107 0.6×	115 1.2×	41 0.6×	221 3.3×	21 0.4×	41	614
Tochi C. Elendu Nigeria	7	96 0.6×	42 0.5×	99 1.4×	56 0.8×	19 0.3×	19	480
Mohy Uddin Saudi Arabia	10	76 0.5×	78 0.8×	76 1.1×	53 0.8×	40 0.7×	24	437

Countries citing papers authored by Margit Neher

Since Specialization

Citations

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

Fields of papers citing papers by Margit Neher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit Neher

This figure shows the co-authorship network connecting the top 25 collaborators of Margit Neher. A scholar is included among the top collaborators of Margit Neher 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 Margit Neher. Margit Neher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Larsson, Ingrid, Jens Nygren, Lena Petersson, et al.. (2025). Integrating AI-based triage in primary care: a qualitative study of Swedish healthcare professionals’ experiences applying normalization process theory. BMC Primary Care. 26(1). 340–340.

Hasson, Henna, et al.. (2025). Evaluating professionals’ adaptations before and after a decision support intervention “the Adaptation and Fidelity Tool” (A-FiT)—A longitudinal within-person intervention design. PubMed. 6. 2628199832–2628199832.

Nygren, Jens, Per Nilsén, Fábio Gama, et al.. (2025). Critical activities for successful implementation and adoption of AI in healthcare: towards a process framework for healthcare organizations. Frontiers in Digital Health. 7. 1550459–1550459.

Hasson, Henna, et al.. (2024). Professionals’ Fidelity-Adaptation Attitudes: Relation to Implementation Determinants and Work-Life Consequences – A Cluster Analysis. 4(2). 167–178.

Nilsén, Per, Fredrik Heintz, Margit Neher, et al.. (2024). Towards evidence-based practice 2.0: leveraging artificial intelligence in healthcare. SHILAP Revista de lepidopterología. 4. 1368030–1368030. 13 indexed citations

Nilsén, Per, Petra Svedberg, Margit Neher, et al.. (2023). A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project. JMIR Research Protocols. 12. e50216–e50216. 12 indexed citations

Neher, Margit, Lena Petersson, Jens Nygren, et al.. (2023). Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. SHILAP Revista de lepidopterología. 4(1). 81–81. 18 indexed citations

Neher, Margit, et al.. (2023). Views on oral health determinants as described by persons with continuous positive airway pressure-treated obstructive sleep apnoea: a qualitative study. BMC Oral Health. 23(1). 407–407. 3 indexed citations

Thomas, Kristin, Margit Neher, Christina Alexandrou, et al.. (2022). Mobile phone-based lifestyle support for families with young children in primary health care (MINISTOP 2.0): Exploring behavioral change determinants for implementation using the COM-B model. Frontiers in Health Services. 2. 951879–951879. 3 indexed citations

10.

Johansson, Peter, et al.. (2022). Rapid Implementation of Telegenetic Counseling in the COVID-19 and Swedish Healthcare Context: A Feasibility Study. Frontiers in Health Services. 2. 848512–848512. 3 indexed citations

11.

Petersson, Lena, Ingrid Larsson, Jens Nygren, et al.. (2022). Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research. 22(1). 850–850. 209 indexed citations breakdown →

12.

Schwarz, Ulrica von Thiele, et al.. (2022). A Slippery Slope When Using an Evidence-Based Intervention Out of Context. How Professionals Perceive and Navigate the Fidelity-Adaptation Dilemma—A Qualitative Study. Frontiers in Health Services. 2. 883072–883072. 6 indexed citations

13.

Mourad, Ghassan, et al.. (2022). The experience of participating in an internet-based cognitive behavioral therapy program among patients with cardiovascular disease and depression: a qualitative interview study. BMC Psychiatry. 22(1). 294–294. 3 indexed citations

14.

Broström, Anders, et al.. (2022). “The terrible dryness woke me up, I had some trouble breathing”—Critical situations related to oral health as described by CPAP‐treated persons with obstructive sleep apnea. Journal of Sleep Research. 31(6). e13670–e13670. 5 indexed citations

15.

Neher, Margit, Annette Nygårdh, Anders Broström, Johan Lundgren, & Peter Johansson. (2021). Perspectives of Policy Makers and Service Users Concerning the Implementation of eHealth in Sweden: Interview Study. Journal of Medical Internet Research. 24(1). e28870–e28870. 11 indexed citations

16.

Schwarz, Ulrica von Thiele, et al.. (2021). Professionals’ management of the fidelity–adaptation dilemma in the use of evidence-based interventions—an intervention study. SHILAP Revista de lepidopterología. 2(1). 31–31. 14 indexed citations

17.

Neher, Margit, Maria Landén Ludvigsson, & Anna Enblom. (2020). Preparedness to Implement Physical Activity and Rehabilitation Guidelines in Routine Primary Care Cancer Rehabilitation: Focus Group Interviews Exploring Rehabilitation Professionals’ Perceptions. Journal of Cancer Education. 36(4). 779–786. 10 indexed citations

18.

Nilsén, Per, Margit Neher, Per‐Erik Ellström, & Benjamin Gardner. (2017). Implementation of Evidence‐Based Practice From a Learning Perspective. Worldviews on Evidence-Based Nursing. 14(3). 192–199. 26 indexed citations

19.

Neher, Margit. (2016). Learning Challenges Associated with Evidence-Based Practice in Rheumatology. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

20.

Wressle, Ewa, et al.. (2003). The Canadian Occupational Performance Measure as an outcome measure and team tool in a day treatment programme. Disability and Rehabilitation. 25(10). 497–506. 63 indexed citations

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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