Valentin Kuleto

962 citations
20 papers · 519 · 1 hit paper · h-index 7

Impact in

Papers in

Valentin Kuleto

15 papers receiving 474 citations

Valentin Kuleto's Hit Papers

Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions 2021 · 265 citations
2650+1+3Years since publication50100150200250

Peers

Valentin Kuleto
Comparison fields: 5 of 73
  • Health Informatics 78
  • Computer Science Applications 158
  • Information Systems 150
  • Human-Computer Interaction 32
  • Information Systems and Management 40
Replace Dan Păun with:
Dan Păun Romania
Anna Bilyatdinova Russia
Agostino Marengo Italy
Marko Ranković Serbia
Andrea Vázquez‐Ingelmo Spain
Ayşe Aslan United Kingdom
Marc Rittberger Germany
M. Elena Rodríguez Spain
Rainer Winkler Switzerland
Dag Håkon Olsen Norway
Valentin Kuleto relative to Dan Păun Romania Dan Păun's profile →
Citations per field
00.5×1.6×
Dan Păun · 1×
Citations per year

Countries citing papers authored by Valentin Kuleto

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Kuleto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Valentin Kuleto, 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 Valentin Kuleto Line = papers co-authored together Valentin Kuleto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions
Hit paper breakdown →
2021265
2 202264
3 202157
4 202155
5 202226
6 202223
7 202117
8 20214
9 20231
10 20221
11 20231
12 20211
13 20221
14 20151
15 20131
16 20181
17 20220
18 20240
19 20220
20 20220

About Valentin Kuleto

Valentin Kuleto is a scholar working on Information Systems, Computer Science Applications, Management Information Systems, Computer Vision and Pattern Recognition and Economics and Econometrics, having authored 20 papers that have together received 519 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Blockchain Technology Applications and Security (3 papers), Big Data and Business Intelligence (2 papers), Educational Innovations and Challenges (2 papers), Leadership, Behavior, and Decision-Making Studies (1 paper), Advanced X-ray and CT Imaging (1 paper), Financial Literacy, Pension, Retirement Analysis (1 paper) and Hearing Impairment and Communication (1 paper). The work is most often cited by research in Health Informatics (78 citations), Computer Science Applications (158 citations), Information Systems (150 citations), Human-Computer Interaction (32 citations) and Information Systems and Management (40 citations). Valentin Kuleto has collaborated with scholars based in Serbia, Romania and Portugal. Frequent co-authors include Milena Ilić, Dan Păun, Marko Ranković, Oliva Martins, Larisa Mihoreanu, Rocsana Bucea-Manea-Țoniş, Violeta Elena Simion, Marina Marjanović, Vladimir Vuković and Svetlana Dabić-Miletić. Their work appears in journals such as Sustainability, Mathematics, Revija za socijalnu politiku, Diagnostics and Annals of Spiru Haret University (Spiru Haret University).

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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