Mladjan Jovanovic

33 papers receiving 457 citations

Mladjan Jovanovic's Hit Papers

Generative Artificial Intelligence: Trends and Prospects 2022 · 189 citations
1890+1+2Years since publication50100150

Peers

Mladjan Jovanovic
Comparison fields: 5 of 99
  • Health Informatics 63
  • Computer Science Applications 43
  • Applied Psychology 28
  • Artificial Intelligence 167
  • Human-Computer Interaction 27
Replace Joon Sung Park with:
Joon Sung Park United States
J.D. Zamfirescu-Pereira United States
David Alonso-Ríos Spain
Vivian Liu United States
Stefano Valtolina Italy
Ajay Bandi United States
Mohammad Amin Kuhail United Arab Emirates
Michael van Lent United States
Shivani Kapania United States
Ting-Hao Huang United States
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Citations per year

Countries citing papers authored by Mladjan Jovanovic

Since Specialization
Citations

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

Fields of papers citing papers by Mladjan Jovanovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mladjan Jovanovic, 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 Mladjan Jovanovic Line = papers co-authored together Mladjan Jovanovic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generative Artificial Intelligence: Trends and Prospects
Hit paper breakdown →
2022189
2 202078
3 202234
4 202027
5 201119
6 200815
7 202213
8 202313
9 199912
10 201010
11
Normalized difference vegetation index (NDVI) as the basis for local forest management. Example of the municipality of Topola, Serbia
20159
12 20228
13 20106
14 20086
15 20255
16
Understanding Motivations in Designing for Older Adults
20165
17 20245
18 20244
19 20244
20 20244

About Mladjan Jovanovic

Mladjan Jovanovic is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Software and Developmental and Educational Psychology, having authored 36 papers that have together received 492 indexed citations. Recurring topics across this work include Educational Games and Gamification (4 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Model-Driven Software Engineering Techniques (3 papers), Robotic Path Planning Algorithms (3 papers), AI in Service Interactions (3 papers), Ethics and Social Impacts of AI (3 papers) and Technology Use by Older Adults (3 papers). The work is most often cited by research in Health Informatics (63 citations), Computer Science Applications (43 citations), Applied Psychology (28 citations), Artificial Intelligence (167 citations) and Human-Computer Interaction (27 citations). Mladjan Jovanovic has collaborated with scholars based in Serbia, United States and Italy. Frequent co-authors include Mark Campbell, Marcos Báez, Fabio Casati, Dušan Starčević, Miroslav Minović, Antonella De Angeli, Lynne Coventry, Andrew McNeill, Veljko Milutinović and Zoran Jovanović. Their work appears in journals such as Computer, Journal of Medical Internet Research, IEEE Internet Computing, International Journal of Technology Enhanced Learning and International Journal of Human-Computer Studies.

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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