Rob Smeets

26.4k total citations · 2 hit papers
239 papers, 9.6k citations indexed

About

Rob Smeets is a scholar working on Pharmacology, Psychiatry and Mental health and Rehabilitation. According to data from OpenAlex, Rob Smeets has authored 239 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Pharmacology, 97 papers in Psychiatry and Mental health and 44 papers in Rehabilitation. Recurrent topics in Rob Smeets's work include Musculoskeletal pain and rehabilitation (150 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (50 papers) and Cerebral Palsy and Movement Disorders (46 papers). Rob Smeets is often cited by papers focused on Musculoskeletal pain and rehabilitation (150 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (50 papers) and Cerebral Palsy and Movement Disorders (46 papers). Rob Smeets collaborates with scholars based in Netherlands, Belgium and Australia. Rob Smeets's co-authors include J. André Knottnerus, Johan W.S. Vlaeyen, Jeanine Verbunt, Raymond Ostelo, Steven J. Kamper, Arnold D.M. Kester, Albère Köke, Jaime Guzmán, Alessandro Chiarotto and Maurits W. van Tulder and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

Rob Smeets

224 papers receiving 9.3k 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.

Multidisciplinary biopsychosocial rehabilitation for chronic low back pain: Cochrane systematic review and meta-analysis

2015 717 citations Rob Smeets et al. profile →
Multidisciplinary biopsychosocial rehabilitation for chronic low back pain

2014 436 citations Rob Smeets et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rob Smeets Netherlands	50	6.6k	3.0k	1.6k	1.5k	1.1k	239	9.6k
Michael K. Nicholas Australia	54	7.7k 1.2×	2.7k 0.9×	2.3k 1.5×	1.2k 0.8×	570 0.5×	194	11.1k
Paulo H. Ferreira Australia	51	6.6k 1.0×	1.9k 0.6×	857 0.5×	2.4k 1.6×	728 0.7×	285	10.4k
Steven J. Kamper Australia	46	5.5k 0.8×	1.7k 0.6×	996 0.6×	1.6k 1.1×	516 0.5×	212	8.8k
James H. McAuley Australia	58	9.9k 1.5×	2.8k 0.9×	2.1k 1.3×	3.1k 2.1×	683 0.6×	270	13.5k
Jane Latimer Australia	54	6.4k 1.0×	1.5k 0.5×	986 0.6×	2.8k 1.9×	515 0.5×	190	9.3k
Debra K. Weiner United States	46	4.0k 0.6×	1.6k 0.5×	902 0.6×	1.1k 0.7×	519 0.5×	134	7.0k
Nadine E. Foster United Kingdom	66	9.8k 1.5×	2.8k 0.9×	2.3k 1.5×	2.5k 1.7×	918 0.9×	356	16.3k
Mira Meeus Belgium	62	6.3k 0.9×	4.4k 1.5×	1.9k 1.2×	1.1k 0.7×	441 0.4×	317	11.7k
Joan M. Romano United States	47	5.8k 0.9×	2.8k 0.9×	2.3k 1.4×	900 0.6×	290 0.3×	101	9.5k
Kathryn M. Refshauge Australia	71	7.4k 1.1×	2.3k 0.8×	1.7k 1.1×	2.7k 1.8×	680 0.6×	289	18.2k

Countries citing papers authored by Rob Smeets

Since Specialization

Citations

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

Fields of papers citing papers by Rob Smeets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Smeets

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

Wittink, Harriët, et al.. (2024). Development and internal validation of a multivariable prognostic model to predict chronic pain after a new episode of non-specific idiopathic, non-traumatic neck pain in physiotherapy primary care practice. BMJ Open. 14(8). e086683–e086683. 1 indexed citations

Bennekom, Coen A. M. van, Rob Smeets, Michiel F. Reneman, et al.. (2024). Evaluation of participation in a former rehabilitation population: a comparison between USER-Participation Restriction and Satisfaction subscales and PROMIS Ability to Participate and PROMIS Satisfaction with participation 8-item short forms in a cross-sectional multicentre study. Disability and Rehabilitation. 47(14). 3742–3752.

Heusdens, Christiaan H. W., et al.. (2024). Unravelling relationships between obesity, diabetes, and factors related to somatosensory functioning in knee osteoarthritis patients. Clinical Rheumatology. 43(8). 2637–2645. 2 indexed citations

Mertens, Michel GCAM, et al.. (2024). Prediction models for treatment success after an interdisciplinary multimodal pain treatment program. Seminars in Arthritis and Rheumatism. 70. 152592–152592. 2 indexed citations

Smeets, Rob, et al.. (2023). Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment. SHILAP Revista de lepidopterología. 4. 1177070–1177070. 10 indexed citations

Köke, Albère, et al.. (2023). Physiotherapists Using the Biopsychosocial Model for Chronic Pain: Barriers and Facilitators—A Scoping Review. International Journal of Environmental Research and Public Health. 20(2). 1634–1634. 34 indexed citations

Sneijder, Petra, et al.. (2023). Consultations Preliminary to Interdisciplinary Chronic Pain Rehabilitation. SHILAP Revista de lepidopterología. 4(2). 23–48.

Mertens, Michel GCAM, Mira Meeus, Isabel Baert, et al.. (2023). Identification of Metabolic Factors and Inflammatory Markers Predictive of Outcome after Total Knee Arthroplasty in Patients with Knee Osteoarthritis: A Systematic Review. International Journal of Environmental Research and Public Health. 20(10). 5796–5796. 7 indexed citations

Gross, Douglas P., Lisa C. Carlesso, Joy C. MacDermid, et al.. (2022). Presurgical rehabilitation program for patients with symptomatic lumbar spinal stenosis: A pilot randomized controlled trial protocol. Canadian Journal of Pain. 6(4). 1 indexed citations

10.

Mansell, Gemma, et al.. (2022). A Person‐Centred Prehabilitation Program based on Cognitive Behavioural Physical Therapy for patients scheduled for Lumbar Fusion surgery: A mediation analysis to assess fear of movement (kinesiophobia), self‐efficacy and catastrophizing as mediators of health outcomes. European Journal of Pain. 26(8). 1790–1799. 9 indexed citations

11.

Wood, Lianne, Annette Bishop, Martyn Lewis, et al.. (2021). Treatment targets of exercise for persistent non-specific low back pain: a consensus study. Physiotherapy. 112. 78–86. 12 indexed citations

12.

Wittink, Harriët, et al.. (2021). Physiotherapists’ knowledge, attitude and practice behavior to prevent chronification in patients with non-specific, non-traumatic, acute- and subacute neck pain: A qualitative study. Musculoskeletal Science and Practice. 57. 102493–102493. 4 indexed citations

13.

Wittink, Harriët, Ulrike Kaiser, Jos Kleijnen, et al.. (2021). Longitudinal outcome evaluations of Interdisciplinary Multimodal Pain Treatment programmes for patients with chronic primary musculoskeletal pain: A systematic review and meta‐analysis. European Journal of Pain. 26(2). 310–335. 49 indexed citations

14.

Froud, Robert, Michele C. Battié, Kim Burton, et al.. (2020). Opportunities and challenges around adapting supported employment interventions for people with chronic low back pain: modified nominal group technique. Disability and Rehabilitation. 43(19). 2750–2757. 3 indexed citations

15.

Rothgangel, Andreas, Susy Braun, Rob Smeets, & Anna Beurskens. (2019). Feasibility of a traditional and teletreatment approach to mirror therapy in patients with phantom limb pain: a process evaluation performed alongside a randomized controlled trial. Clinical Rehabilitation. 33(10). 1649–1660. 13 indexed citations

16.

Brisby, Helena, et al.. (2019). A Person-Centered Prehabilitation Program Based on Cognitive-Behavioral Physical Therapy for Patients Scheduled for Lumbar Fusion Surgery: A Randomized Controlled Trial. Physical Therapy. 99(8). 1069–1088. 69 indexed citations

17.

Sneijder, Petra, et al.. (2019). Improving patient–practitioner interaction in chronic pain rehabilitation. Scandinavian Journal of Pain. 19(4). 843–853. 2 indexed citations

18.

Nicholas, Michael K., Steven J. Linton, Chris J. Main, et al.. (2018). Predicting Return to Work in a Heterogeneous Sample of Recently Injured Workers Using the Brief ÖMPSQ-SF. Journal of Occupational Rehabilitation. 29(2). 295–302. 23 indexed citations

19.

Hollander, Marlies den, Mariëlle E. J. B. Goossens, Jeroen de Jong, et al.. (2016). Expose or protect? A randomized controlled trial of exposure in vivo vs pain-contingent treatment as usual in patients with complex regional pain syndrome type 1. Pain. 157(10). 2318–2329. 97 indexed citations

20.

Smeets, Rob, et al.. (2015). Concise Arm and Hand Rehabilitation Approach in Stroke (CARAS): A practical and evidence-based framework for clinical rehabilitation management. SHILAP Revista de lepidopterología. 3(4). 15 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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