Marian Wysocki

35 papers receiving 411 citations

Peers

Marian Wysocki
Comparison fields: 5 of 82
  • Human-Computer Interaction 139
  • Cardiology and Cardiovascular Medicine 111
  • Computer Vision and Pattern Recognition 98
  • Physiology 70
  • Endocrinology, Diabetes and Metabolism 67
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Dominik Schuldhaus Germany
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Citations per field
00.5×7.9×
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Citations per year

Countries citing papers authored by Marian Wysocki

Since Specialization
Citations

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

Fields of papers citing papers by Marian Wysocki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marian Wysocki

This figure shows the co-authorship network connecting the top 25 collaborators of Marian Wysocki. A scholar is included among the top collaborators of Marian Wysocki 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 Marian Wysocki. Marian Wysocki 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 10
2
Recognition of signed dynamic expressions observed by ToF camera
5
3 17
4 2
5 10
6
Identyfikacja koloru skóry dłoni w różnych przestrzeniach barw
0
7 18
8 3
9
Effects of an acute dose of 16 mg candesartan cilexetil on systemic and renal haemodynamics in hypertensive patients.
9
10 15
11 25
12 3
13 5
14 9
15 1
16 4
17
Carcinoembryonic antigen, alphafetoprotein and alpha and beta subunits of human chorionic gonadotropin in plasma of children with acute leukaemia.
1
18 12
19
[Analysis of mortality in Płock 1981-1982].
0
20 7

About Marian Wysocki

Marian Wysocki is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 445 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (9 papers), Blood Pressure and Hypertension Studies (8 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Human-Computer Interaction (139 citations), Developmental and Educational Psychology (65 citations) and Cardiology and Cardiovascular Medicine (111 citations). Marian Wysocki has collaborated with scholars based in Sweden, Poland and United States. Frequent co-authors include Mariusz Oszust, Ove K. Andersson, Ulf Smith, Per‐Anders Jansson, Jan W. Eriksson, Finn Waagstein, Thomas Hedner, Bertil Persson, Magnus Braide and U. Bagge. Their work appears in journals such as Diabetes, Sensors and International Journal of Production Research.

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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