T. Szécsi

876 citations
21 papers · 575 indexed · 1 hit paper · h-index 9

Impact in

Papers in

T. Szécsi

20 papers receiving 525 citations

Hit Papers

Virtual reality applications in manufacturing process simulation 2004 · 337 citations
3372004202620112018100200300

Peers

T. Szécsi
Comparison fields: 5 of 96
  • Human-Computer Interaction 142
  • Industrial and Manufacturing Engineering 218
  • Medical Laboratory Technology 16
  • Computer Vision and Pattern Recognition 103
  • Mechanical Engineering 185
Replace André Crosnier with:
André Crosnier France
Witaya Wannasuphoprasit Thailand
Robin Passama France
Hao Ding China
Panagiota Tsarouchi Greece
Maura Mengoni Italy
Ci‐Jyun Liang United States
Philipp Klimant Germany
Dragoljub Šurdilović Germany
Hongyi Liu China
T. Szécsi relative to André Crosnier France André Crosnier's profile →
Citations per field
00.5×1.5×
André Crosnier · 1×
Citations per year

Countries citing papers authored by T. Szécsi

Since Specialization
Citations

This map shows the geographic impact of T. Szécsi'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 T. Szécsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Szécsi more than expected).

Fields of papers citing papers by T. Szécsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside T. Szécsi, 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 T. Szécsi Line = papers co-authored together T. Szécsi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20171
2 20173
3 20166
4 20164
5 20154
6 20155
7 20153
8 20143
9 201417
10 201423
11 201350
12 20130
13 20121
14 20078
15 20047
16
Virtual reality applications in manufacturing process simulation
Hit paper breakdown →
2004337
17 200213
18 199963
19 199916
20 199810

About T. Szécsi

T. Szécsi is a scholar working on Industrial and Manufacturing Engineering, Medical Laboratory Technology, Mechanical Engineering, Automotive Engineering and Management of Technology and Innovation, having authored 21 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (10 papers), Advanced machining processes and optimization (9 papers), Manufacturing Process and Optimization (8 papers), Engineering Technology and Methodologies (8 papers), IoT and Edge/Fog Computing (2 papers), Occupational health in dentistry (2 papers), Ergonomics and Musculoskeletal Disorders (2 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Human-Computer Interaction (142 citations), Industrial and Manufacturing Engineering (218 citations), Medical Laboratory Technology (16 citations), Computer Vision and Pattern Recognition (103 citations) and Mechanical Engineering (185 citations). T. Szécsi has collaborated with scholars based in Ireland, Bangladesh and Türkiye. Frequent co-authors include M.S.J. Hashmi, Pobitra Halder, K. A. Mamun, Alok Sharma, F. R. Islam and Tazim Ahmed. Their work appears in journals such as Journal of Materials Processing Technology, Robotics and Computer-Integrated Manufacturing, Journal of Industrial and Production Engineering, Computers & Industrial Engineering and Procedia Manufacturing.

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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