Marientina Gotsis

36 total papers · 728 total citations
22 papers, 434 citations indexed

About

Marientina Gotsis is a scholar working on Human-Computer Interaction, Pathology and Forensic Medicine and General Health Professions. According to data from OpenAlex, Marientina Gotsis has authored 22 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Human-Computer Interaction, 4 papers in Pathology and Forensic Medicine and 4 papers in General Health Professions. Recurrent topics in Marientina Gotsis's work include Stroke Rehabilitation and Recovery (4 papers), Spinal Cord Injury Research (4 papers) and Mobile Health and mHealth Applications (4 papers). Marientina Gotsis is often cited by papers focused on Stroke Rehabilitation and Recovery (4 papers), Spinal Cord Injury Research (4 papers) and Mobile Health and mHealth Applications (4 papers). Marientina Gotsis collaborates with scholars based in United States, Netherlands and United Kingdom. Marientina Gotsis's co-authors include Maryalice Jordan‐Marsh, Donna Spruijt‐Metz, Mary Ann Pentz, Genevieve F. Dunton, Gillian O’Reilly, Eleanor B. Tate, Isabela Granic, Bonnie Spring, Ana Paiva and Adam Lobel and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Computer Graphics and Applications and Frontiers in Neurology.

In The Last Decade

Marientina Gotsis

21 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Marientina Gotsis	160	93	75	73	72	22	434
Irene Zaragozá	61 0.4×	46 0.5×	53 0.7×	19 0.3×	74 1.0×	24	379
Allen D. Andrade	139 0.9×	66 0.7×	36 0.5×	13 0.2×	61 0.8×	20	375
Marten Haesner	113 0.7×	34 0.4×	41 0.5×	13 0.2×	35 0.5×	31	421
Imogen C. Rehm	52 0.3×	22 0.2×	55 0.7×	41 0.6×	53 0.7×	34	415
Georgina Cárdenas‐López	65 0.4×	44 0.5×	140 1.9×	13 0.2×	74 1.0×	43	467
Victoria J. Thompson	89 0.6×	130 1.4×	45 0.6×	78 1.1×	82 1.1×	8	378
Stina Rutberg	101 0.6×	157 1.7×	24 0.3×	39 0.5×	46 0.6×	39	450
Sara Suárez-Manzano	71 0.4×	86 0.9×	34 0.5×	57 0.8×	13 0.2×	49	413
Courtney M. Monroe	206 1.3×	104 1.1×	24 0.3×	21 0.3×	165 2.3×	31	483
Veronika Brezinka	129 0.8×	42 0.5×	14 0.2×	27 0.4×	62 0.9×	18	422

Countries citing papers authored by Marientina Gotsis

Since Specialization

Citations

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

Fields of papers citing papers by Marientina Gotsis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marientina Gotsis

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