Mark Paulik

474 citations
48 papers · 324 · h-index 9

Impact in

    • Engineering Education and Pedagogy
    • Robotic Path Planning Algorithms
    • Handwritten Text Recognition Techniques
    • Image Retrieval and Classification Techniques
    • Image Processing and 3D Reconstruction

Papers in

Mark Paulik

47 papers receiving 300 citations

Peers

Mark Paulik
Comparison fields: 5 of 60
  • Architecture 25
  • Computer Vision and Pattern Recognition 197
  • Media Technology 70
  • Computer Science Applications 14
  • Aerospace Engineering 56
Replace Nalini C. Iyer with:
Nalini C. Iyer India
Ciarán McGoldrick Ireland
Yaser Dalveren Türkiye
Renate Sitte Australia
Alberto Izaguirre Spain
Alade Tokuta United States
Hao Zhou China
Helmut Schwabach Austria
Mohamed Sedky United Kingdom
Michael Bramberger Slovakia
Mark Paulik relative to Nalini C. Iyer India Nalini C. Iyer's profile →
Citations per field
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Nalini C. Iyer · 1×
Citations per year

Countries citing papers authored by Mark Paulik

Since Specialization
Citations

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

Fields of papers citing papers by Mark Paulik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Paulik, 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 Mark Paulik Line = papers co-authored together Mark Paulik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199043
2 200143
3 199225
4 200919
5 200217
6 201413
7 200211
8 201411
9 202110
10 20038
11 20028
12 20028
13 20147
14 20146
15 20026
16 20086
17 20066
18
Accurate Gap Filling Using Properly Initialized INS During Periods of GPS Signal Blockage
19995
19 20105
20 20135

About Mark Paulik

Mark Paulik is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Automotive Engineering and Artificial Intelligence, having authored 48 papers that have together received 324 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Robotics and Sensor-Based Localization (11 papers), Handwritten Text Recognition Techniques (8 papers), Autonomous Vehicle Technology and Safety (6 papers), Experimental Learning in Engineering (6 papers), Natural Language Processing Techniques (5 papers), Control and Dynamics of Mobile Robots (5 papers) and Mechatronics Education and Applications (4 papers). The work is most often cited by research in Architecture (25 citations), Computer Vision and Pattern Recognition (197 citations), Media Technology (70 citations), Computer Science Applications (14 citations) and Aerospace Engineering (56 citations). Mark Paulik has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Mohan Krishnan, M. Das, N.K. Loh, Chaomin Luo, M. Krishnan, Nizar Al-Holou, Mohamad Ali Khalil, Simon X. Yang, T. Pilutti and Bo Cui. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Education, Vehicle System Dynamics, Intelligent Service Robotics and IEEE Transactions on Signal Processing.

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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