Marcel Pikhart

1.8k citations
65 papers · 911 indexed · 3 hit papers · h-index 17

Impact in

Papers in

Marcel Pikhart

59 papers receiving 857 citations

Hit Papers

Exploring the effects of artificial intelligence on student and academic well-being in higher education: a mini-review 2025 · 16 citations
162022202620232024255075

Peers

Marcel Pikhart
Comparison fields: 5 of 82
  • Health Informatics 162
  • Computer Science Applications 190
  • Language and Linguistics 103
  • Developmental and Educational Psychology 116
  • Education 260
Replace Norah Almusharraf with:
Norah Almusharraf Saudi Arabia
Murod Ismailov Japan
Gemma Tur Spain
Marta Montenegro Rueda Spain
Xi Lin United States
Sin Wang Chong United Kingdom
Young Hoan Cho South Korea
José Fernández Cerero Spain
Lucas Kohnke Hong Kong
Kaori Nakao Japan
Marcel Pikhart relative to Norah Almusharraf Saudi Arabia Norah Almusharraf's profile →
Citations per field
00.5×1.5×2.5×
Norah Almusharraf · 1×
Citations per year

Countries citing papers authored by Marcel Pikhart

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Pikhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Marcel Pikhart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcel Pikhart Line = papers co-authored together Marcel Pikhart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Exploring the effects of artificial intelligence on student and academic well-being in higher education: a mini-review
Hit paper breakdown →
202516
2 20254
3 20250
4 20257
5 20250
6 20241
7 202426
8 202316
9 20238
10 20238
11 20234
12 20233
13 20236
14 20232
15 202391
16 202325
17 20223
18 20202
19 20208
20 20177

About Marcel Pikhart

Marcel Pikhart is a scholar working on Health Informatics, Computer Science Applications, Life-span and Life-course Studies, Language and Linguistics and Education, having authored 65 papers that have together received 911 indexed citations. Recurring topics across this work include Technology-Enhanced Education Studies (19 papers), EFL/ESL Teaching and Learning (8 papers), Digital literacy in education (8 papers), AI in Service Interactions (7 papers), Second Language Learning and Teaching (7 papers), Artificial Intelligence in Healthcare and Education (7 papers), Online Learning and Analytics (6 papers) and Mobile Learning in Education (6 papers). The work is most often cited by research in Health Informatics (162 citations), Computer Science Applications (190 citations), Language and Linguistics (103 citations), Developmental and Educational Psychology (116 citations) and Education (260 citations). Marcel Pikhart has collaborated with scholars based in Czechia, Iraq and Poland. Frequent co-authors include Blanka Klímová, Liqaa Habeb Al-Obaydi, Sarang Shaikh, Sule Yildirim Yayilgan, Jaroslav Kacetl, Caroline Lehr, Christina Sanchez‐Stockhammer, Ragad M Tawafak, Szymon Dziuba and Petra Poláková. Their work appears in journals such as Frontiers in Psychology, International Journal of Emerging Technologies in Learning (iJET), Education and Information Technologies, Sustainability and Contemporary Educational Technology.

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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2026