Maja Goršič

911 citations
35 papers · 644 indexed · h-index 12
Topics
Stroke Rehabilitation and Recovery (18 papers)Muscle activation and electromyography studies (13 papers)Musculoskeletal pain and rehabilitation (10 papers)

In The Last Decade

Maja Goršič

32 papers receiving 633 citations

Peers

Maja Goršič
Comparison fields: 5 of 75
  • Biomedical Engineering 334
  • Rehabilitation 246
  • Pharmacology 102
  • Social Psychology 96
  • Human-Computer Interaction 96
Replace Imre Cikajlo with:
Imre Cikajlo Slovenia
Navid Shirzad Canada
Urs Keller Switzerland
Nika Goljar Slovenia
Phil Requejo United States
Chien‐Yen Chang United States
Belén Rubio Ballester Spain
Rachel Proffitt United States
Avinash Parnandi United States
Nicoleta Bugnariu United States
Maja Goršič relative to Imre Cikajlo Slovenia Imre Cikajlo's profile →
Citations per field
00.5×1.6×
Imre Cikajlo · 1×
Citations per year

Countries citing papers authored by Maja Goršič

Since Specialization
Citations

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

Fields of papers citing papers by Maja Goršič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Goršič

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 4
4 0
5 2
6 7
7 19
8 56
9 6
10 1
11 16
12 10
13 3
14 8
15 58
16 111
17 18
18 52
19 9
20
Axolotl - a supermodel for tissue regeneration.
1

About Maja Goršič

Maja Goršič is a scholar working on Rehabilitation, Human-Computer Interaction and Physical Therapy, Sports Therapy and Rehabilitation, having authored 35 papers that have together received 644 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (18 papers), Muscle activation and electromyography studies (13 papers) and Musculoskeletal pain and rehabilitation (10 papers). The work is most often cited by research in Rehabilitation (246 citations), Physical Therapy, Sports Therapy and Rehabilitation (91 citations) and Human-Computer Interaction (96 citations). Maja Goršič has collaborated with scholars based in United States, Slovenia and Belgium. Frequent co-authors include Domen Novak, Imre Cikajlo, Marko Munih, Boyi Dai, Roman Kamnik, Nicola Vitiello, Yu Song, Nika Goljar, Guido Pasquini and Dirk Lefeber. Their work appears in journals such as Journal of Biomechanics, IEEE Transactions on Biomedical Engineering and Sensors.

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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