Martin Neeb

655 total citations
8 papers, 515 citations indexed

About

Martin Neeb is a scholar working on Pathology and Forensic Medicine, Rehabilitation and Psychiatry and Mental health. According to data from OpenAlex, Martin Neeb has authored 8 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Rehabilitation and 4 papers in Psychiatry and Mental health. Recurrent topics in Martin Neeb's work include Stroke Rehabilitation and Recovery (4 papers), Cerebral Palsy and Movement Disorders (4 papers) and Balance, Gait, and Falls Prevention (2 papers). Martin Neeb is often cited by papers focused on Stroke Rehabilitation and Recovery (4 papers), Cerebral Palsy and Movement Disorders (4 papers) and Balance, Gait, and Falls Prevention (2 papers). Martin Neeb collaborates with scholars based in Israel. Martin Neeb's co-authors include Isabella Schwartz, Iris Fisher, Michal Katz‐Leurer, Zeev Meiner, Eli Carmeli, Mara Shochina, S. Shabat, Y. Matan, Gideon Mann and A. Simkin and has published in prestigious journals such as British Journal of Sports Medicine, Multiple Sclerosis Journal and Disability and Rehabilitation.

In The Last Decade

Martin Neeb

8 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Neeb Israel 6 299 233 147 139 131 8 515
Ebrahim Sadeghi-Demneh Iran 13 172 0.6× 190 0.8× 65 0.4× 204 1.5× 96 0.7× 36 574
Iris Fisher Israel 5 297 1.0× 223 1.0× 140 1.0× 93 0.7× 129 1.0× 10 446
Öznur Öken Türkiye 12 123 0.4× 130 0.6× 45 0.3× 80 0.6× 79 0.6× 22 415
Arianna Cruciani Italy 14 355 1.2× 185 0.8× 47 0.3× 120 0.9× 101 0.8× 26 548
Anna Maria Turcato Italy 8 155 0.5× 268 1.2× 40 0.3× 130 0.9× 331 2.5× 9 511
Julien Boudarham France 12 228 0.8× 194 0.8× 31 0.2× 136 1.0× 113 0.9× 16 388
Erica Pitsch United States 7 184 0.6× 97 0.4× 55 0.4× 51 0.4× 61 0.5× 10 341
Claudia Pavarelli Italy 6 121 0.4× 90 0.4× 126 0.9× 52 0.4× 47 0.4× 8 348
Douglas A. Wajda United States 13 83 0.3× 328 1.4× 320 2.2× 48 0.3× 320 2.4× 22 614
Nina Lefeber Belgium 12 202 0.7× 114 0.5× 52 0.4× 138 1.0× 97 0.7× 26 351

Countries citing papers authored by Martin Neeb

Since Specialization
Citations

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

Fields of papers citing papers by Martin Neeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Neeb

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

All Works

8 of 8 papers shown
1.
Meiner, Zeev, Iris Fisher, Dimitrios Karussis, et al.. (2011). Poster 270 Robot‐assisted Gait Training By Using the Lokomat System in Patients With Multiple Sclerosis: A Pilot Randomized Trial. PM&R. 3(10S1). 1 indexed citations
2.
Schwartz, Isabella, et al.. (2011). Locomotor training using a robotic device in patients with subacute spinal cord injury. Spinal Cord. 49(10). 1062–1067. 53 indexed citations
3.
Schwartz, Isabella, Elior Moreh, Iris Fisher, et al.. (2011). Robot-assisted gait training in multiple sclerosis patients: a randomized trial. Multiple Sclerosis Journal. 18(6). 881–890. 73 indexed citations
4.
Schwartz, Isabella, Iris Fisher, Martin Neeb, et al.. (2009). The Effectiveness of Locomotor Therapy Using Robotic‐Assisted Gait Training in Subacute Stroke Patients: A Randomized Controlled Trial. PM&R. 1(6). 516–523. 161 indexed citations
5.
Moreh, Elior, Zeev Meiner, Martin Neeb, Nurith Hiller, & Isabella Schwartz. (2009). Spinal decompression sickness presenting as partial brown-sequard syndrome and treated with robotic-assisted body-weight support treadmill training. Journal of Rehabilitation Medicine. 41(1). 88–89. 11 indexed citations
6.
Meiner, Zeev, Iris Fisher, Michal Katz‐Leurer, et al.. (2009). The Effectiveness of Locomotor Therapy Using Robotic‐assisted Gait Training in Subacute Stroke Patients: A Randomized Controlled Trial. PM&R. 1(9S). 3 indexed citations
7.
Katz‐Leurer, Michal, Iris Fisher, Martin Neeb, Isabella Schwartz, & Eli Carmeli. (2008). Reliability and validity of the modified functional reach test at the sub-acute stage post-stroke. Disability and Rehabilitation. 31(3). 243–248. 128 indexed citations
8.
Nyska, Meir, S. Shabat, A. Simkin, et al.. (2003). Dynamic force distribution during level walking under the feet of patients with chronic ankle instability. British Journal of Sports Medicine. 37(6). 495–497. 85 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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