Mark Seniut
Impact in
- Nuclear Energy and Engineering top 10%
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- Multi-Criteria Decision Making
- Construction Project Management and Performance
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 2
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- User Authentication and Security Systems 3
- Co-authors
- Artūras Kaklauskas (16 shared papers)Edmundas Kazimieras Zavadskas (12 shared papers)Zenonas Turskis (1 shared paper)Laura Tūpėnaitė (1 shared paper)Loreta Kanapeckienė (2 shared papers)Gintautas Dzemyda (5 shared papers)Juozas Bivainis (1 shared paper)Viktor Gribniak (3 shared papers)
In The Last Decade
Mark Seniut
16 papers receiving 477 citations
Peers
Comparison fields: 5 of 96
- Nuclear Energy and Engineering 9
- Management Science and Operations Research 156
- Building and Construction 119
- General Energy 6
- Computer Science Applications 28
Countries citing papers authored by Mark Seniut
This map shows the geographic impact of Mark Seniut'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 Seniut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Seniut more than expected).
Fields of papers citing papers by Mark Seniut
This network shows the impact of papers produced by Mark Seniut. 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 Seniut. The network helps show where Mark Seniut may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Seniut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 155 | |
| 2 | 2010 | 90 | |
| 3 | 2011 | 48 | |
| 4 | 2009 | 42 | |
| 5 | 2009 | 36 | |
| 6 | 2014 | 27 | |
| 7 | 2013 | 21 | |
| 8 | 2019 | 18 | |
| 9 | 2012 | 18 | |
| 10 | 2010 | 16 | |
| 11 | 2020 | 13 | |
| 12 | 2009 | 10 | |
| 13 | 2008 | 8 | |
| 14 | 2008 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2009 | 1 |
About Mark Seniut
Mark Seniut is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 16 papers that have together received 515 indexed citations. Recurring topics across this work include Construction Project Management and Performance (3 papers), Innovative Teaching and Learning Methods (3 papers), Emotion and Mood Recognition (3 papers), User Authentication and Security Systems (3 papers), Color perception and design (2 papers), Multi-Criteria Decision Making (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Nuclear Energy and Engineering (9 citations), Management Science and Operations Research (156 citations), Building and Construction (119 citations), General Energy (6 citations) and Computer Science Applications (28 citations). Mark Seniut has collaborated with scholars based in Lithuania, Russia and Estonia. Frequent co-authors include Artūras Kaklauskas, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Laura Tūpėnaitė, Loreta Kanapeckienė, Gintautas Dzemyda, Juozas Bivainis, Viktor Gribniak, Voitech Stankevič and Jūratė Šliogerienė. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Computers & Education, International Journal of Strategic Property Management, Expert Systems with Applications and Automation in Construction.
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.