Mark Seniut

688 total citations
16 papers, 510 citations indexed

About

Mark Seniut is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Mark Seniut has authored 16 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Mark Seniut's work include Innovative Teaching and Learning Methods (3 papers), Emotion and Mood Recognition (3 papers) and User Authentication and Security Systems (3 papers). Mark Seniut is often cited by papers focused on Innovative Teaching and Learning Methods (3 papers), Emotion and Mood Recognition (3 papers) and User Authentication and Security Systems (3 papers). Mark Seniut collaborates with scholars based in Lithuania, Russia and United States. Mark Seniut's co-authors include Artūras Kaklauskas, Edmundas Kazimieras Zavadskas, Laura Tūpėnaitė, Zenonas Turskis, Loreta Kanapeckienė, Gintautas Dzemyda, Jūratė Šliogerienė, Viktor Gribniak, Voitech Stankevič and Juozas Bivainis and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Automation in Construction.

In The Last Decade

Mark Seniut

16 papers receiving 470 citations

Peers

Mark Seniut
Ieva Ubartė Lithuania
Rianne Valkenburg Netherlands
Sidney Newton Australia
James K. Doyle United States
Jonathan R. A. Maier United States
Tripp Shealy United States
John Aliu South Africa
Geertje Bekebrede Netherlands
Ieva Ubartė Lithuania
Mark Seniut
Citations per year, relative to Mark Seniut Mark Seniut (= 1×) peers Ieva Ubartė

Countries citing papers authored by Mark Seniut

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Seniut

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

All Works

16 of 16 papers shown
1.
Kaklauskas, Artūras, Ajith Abraham, Gintautas Dzemyda, et al.. (2020). Emotional, affective and biometrical states analytics of a built environment. Engineering Applications of Artificial Intelligence. 91. 103621–103621. 12 indexed citations
2.
Kaklauskas, Artūras, et al.. (2019). An Affect-Based Built Environment Video Analytics. Automation in Construction. 106. 102888–102888. 17 indexed citations
3.
Kaklauskas, Artūras, et al.. (2014). Text Analytics for Android Project. Procedia Economics and Finance. 18. 610–617. 6 indexed citations
4.
Kaklauskas, Artūras, Edmundas Kazimieras Zavadskas, Alfonsas Daniūnas, et al.. (2014). Affective Tutoring System for Built Environment Management. Computers & Education. 82. 202–216. 27 indexed citations
5.
Kaklauskas, Artūras, Edmundas Kazimieras Zavadskas, Mark Seniut, et al.. (2013). Recommender System to Analyze Student’s Academic Performance. Expert Systems with Applications. 40(15). 6150–6165. 20 indexed citations
6.
Kaklauskas, Artūras, Vidas Raudonis, Edmundas Kazimieras Zavadskas, et al.. (2012). Student progress assessment with the help of an intelligent pupil analysis system. Engineering Applications of Artificial Intelligence. 26(1). 35–50. 18 indexed citations
7.
Kaklauskas, Artūras, Edmundas Kazimieras Zavadskas, Mark Seniut, et al.. (2011). Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity. Engineering Applications of Artificial Intelligence. 24(6). 928–945. 48 indexed citations
8.
Kanapeckienė, Loreta, Artūras Kaklauskas, Edmundas Kazimieras Zavadskas, & Mark Seniut. (2010). Integrated knowledge management model and system for construction projects. Engineering Applications of Artificial Intelligence. 23(7). 1200–1215. 88 indexed citations
9.
Kaklauskas, Artūras, et al.. (2010). Biometric and Intelligent Self-Assessment of Student Progress system. Computers & Education. 55(2). 821–833. 16 indexed citations
10.
Tūpėnaitė, Laura, Edmundas Kazimieras Zavadskas, Artūras Kaklauskas, Zenonas Turskis, & Mark Seniut. (2010). MULTIPLE CRITERIA ASSESSMENT OF ALTERNATIVES FOR BUILT AND HUMAN ENVIRONMENT RENOVATION. Journal of Civil Engineering and Management. 16(2). 257–266. 155 indexed citations
11.
Kaklauskas, Artūras, et al.. (2009). Voice Stress Analyser System for E-testing. 9. 693–695. 1 indexed citations
12.
Kaklauskas, Artūras, et al.. (2009). Biometric Mouse Intelligent System for Student's Emotional and Examination Process Analysis. 189–193. 10 indexed citations
13.
Šliogerienė, Jūratė, Artūras Kaklauskas, Edmundas Kazimieras Zavadskas, Juozas Bivainis, & Mark Seniut. (2009). ENVIRONMENT FACTORS OF ENERGY COMPANIES AND THEIR EFFECT ON VALUE: ANALYSIS MODEL AND APPLIED METHOD. Technological and Economic Development of Economy. 15(3). 490–521. 36 indexed citations
14.
Kaklauskas, Artūras, et al.. (2009). THE WEB–BASED REAL ESTATE MULTIPLE CRITERIA NEGOTIATION DECISION SUPPORT SYSTEM: A NEW GENERATION OF DECISION SUPPORT SYSTEMS. International Journal of Strategic Property Management. 13(3). 267–286. 42 indexed citations
15.
Kaklauskas, Artūras, et al.. (2008). Web-based biometric mouse decision support system for user's emotional and labour productivity analysis. 69–75. 6 indexed citations
16.
Zavadskas, Edmundas Kazimieras, et al.. (2008). Web-based biometric mouse intelligent system for analysis of emotional state and labour productivity. 8 indexed citations

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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