Mihajlo Grbovic
- Artificial Intelligence top 2%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Marketing top 5%
- Signal Processing top 5%
- Co-authors
- Nemanja DjuricVladan RadosavljevićNarayan BhamidipatiHaibin ChengRobin K. MorrisJing ZhouSlobodan VučetićLuca Maria Aiello
- Topics
- Recommender Systems and Techniques (9 papers)Consumer Market Behavior and Pricing (6 papers)Data Management and Algorithms (5 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mihajlo Grbovic
37 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 637
- Information Systems 394
- Sociology and Political Science 124
- Marketing 119
- Signal Processing 112
Countries citing papers authored by Mihajlo Grbovic
This map shows the geographic impact of Mihajlo Grbovic'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 Mihajlo Grbovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihajlo Grbovic more than expected).
Fields of papers citing papers by Mihajlo Grbovic
This network shows the impact of papers produced by Mihajlo Grbovic. 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 Mihajlo Grbovic. The network helps show where Mihajlo Grbovic may publish in the future.
Co-authorship network of co-authors of Mihajlo Grbovic
This figure shows the co-authorship network connecting the top 25 collaborators of Mihajlo Grbovic. A scholar is included among the top collaborators of Mihajlo Grbovic 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 Mihajlo Grbovic. Mihajlo Grbovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 76 | |
| 4 | 2 | |
| 5 | ParkAssistant: An Algorithm for Guiding a Car to a Parking Spot | 6 |
| 6 | 24 | |
| 7 | 42 | |
| 8 | 51 | |
| 9 | Hate Speech Detection with Comment Embeddingsbreakdown → | 408 |
| 10 | 38 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | A General Noise Resolution Model for Parking Occupancy Sensors | 4 |
| 19 | 2 | |
| 20 | 9 |
About Mihajlo Grbovic
Mihajlo Grbovic is a scholar working on Marketing, General Engineering and Transportation, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Consumer Market Behavior and Pricing (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (637 citations), Information Systems (394 citations) and Communication (96 citations). Mihajlo Grbovic has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Nemanja Djuric, Vladan Radosavljević, Narayan Bhamidipati, Haibin Cheng, Robin K. Morris, Jing Zhou, Slobodan Vučetić, Luca Maria Aiello, Farshad Kooti and Kristina Lerman. Their work appears in journals such as Scientific Reports, IEEE Transactions on Industrial Informatics and Machine Learning.
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.