Mariya Pachman

660 total citations
15 papers, 384 citations indexed

About

Mariya Pachman is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Mariya Pachman has authored 15 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Developmental and Educational Psychology, 5 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Mariya Pachman's work include Innovative Teaching and Learning Methods (8 papers), Visual and Cognitive Learning Processes (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Mariya Pachman is often cited by papers focused on Innovative Teaching and Learning Methods (8 papers), Visual and Cognitive Learning Processes (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Mariya Pachman collaborates with scholars based in Australia, United States and Netherlands. Mariya Pachman's co-authors include Amaël Arguel, Lori Lockyer, Jason M. Lodge, Gregor Kennedy, Fengfeng Ke, Slava Kalyuga, John Sweller, Paul Ayres, Chih‐Pu Dai and Fred Paas and has published in prestigious journals such as Computers & Education, Frontiers in Psychology and British Journal of Educational Technology.

In The Last Decade

Mariya Pachman

15 papers receiving 366 citations

Peers

Mariya Pachman
Comparison fields: 5 of 74
  • Education 152
  • Developmental and Educational Psychology 128
  • Experimental and Cognitive Psychology 81
  • Artificial Intelligence 69
  • Human-Computer Interaction 66
Replace Antero Lindstedt with:
Antero Lindstedt Finland
Amanda Jarrell Canada
Ruth N. Schwartz United States
Jennifer K. Olsen Switzerland
Filip Děchtěrenko Czechia
Amanda Carr United Kingdom
Dragan Trninić Switzerland
Alyssa P. Lawson United States
Xiaozhe Yang China
María del Carmen Malbrán Argentina
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Citations per field, relative to Mariya Pachman
Mariya Pachman · 1×
Citations per year, relative to Mariya Pachman
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Countries citing papers authored by Mariya Pachman

Since Specialization
Citations

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

Fields of papers citing papers by Mariya Pachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariya Pachman

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 22
2 14
3 42
4
Perspective Taking in Participatory Simulation-based Collaborative Learning.
2
5 10
6 155
7 43
8 4
9 34
10
Learners’ confusion: faulty prior knowledge or a metacognitive monitoring error?
1
11 7
12 16
13 14
14
Screen captured video tutorials as a special case of multimedia: testing the redundancy principle.
1
15
Assessment of cognitive load in multimedia learning: theory, methods and applications
19

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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