Ivan Marsic

3.2k total citations
171 papers, 2.0k citations indexed

About

Ivan Marsic is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ivan Marsic has authored 171 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 50 papers in Artificial Intelligence and 35 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ivan Marsic's work include Mobile Ad Hoc Networks (22 papers), Wireless Networks and Protocols (19 papers) and Usability and User Interface Design (19 papers). Ivan Marsic is often cited by papers focused on Mobile Ad Hoc Networks (22 papers), Wireless Networks and Protocols (19 papers) and Usability and User Interface Design (19 papers). Ivan Marsic collaborates with scholars based in United States, Netherlands and Canada. Ivan Marsic's co-authors include Randall S. Burd, Aleksandra Sarcevic, Xinyu Li, Shuhong Chen, Yue Gu, Siddika Parlak, Yanyi Zhang, Liang Cheng, Sven Dickinson and Ali Shokoufandeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Communications Magazine.

In The Last Decade

Ivan Marsic

161 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Marsic United States 24 607 606 503 293 249 171 2.0k
Emmanuel Agu United States 21 414 0.7× 418 0.7× 387 0.8× 139 0.5× 99 0.4× 150 1.8k
Sheikh Iqbal Ahamed United States 28 788 1.3× 546 0.9× 623 1.2× 269 0.9× 153 0.6× 318 2.8k
Keiichi Yasumoto Japan 23 853 1.4× 220 0.4× 490 1.0× 652 2.2× 138 0.6× 292 2.1k
P. W. C. Prasad Australia 23 225 0.4× 625 1.0× 590 1.2× 160 0.5× 142 0.6× 196 2.3k
Christian Poellabauer United States 27 1.4k 2.3× 334 0.6× 411 0.8× 989 3.4× 89 0.4× 147 3.0k
Ram Dantu United States 25 574 0.9× 439 0.7× 241 0.5× 591 2.0× 64 0.3× 142 2.0k
K. I. Mohammed Malaysia 22 413 0.7× 519 0.9× 306 0.6× 122 0.4× 36 0.1× 23 2.1k
Luís Paulo Reis Portugal 20 180 0.3× 471 0.8× 389 0.8× 132 0.5× 343 1.4× 291 2.1k
Md. Milon Islam Bangladesh 34 866 1.4× 1.8k 2.9× 952 1.9× 314 1.1× 215 0.9× 58 4.5k
Rajib Rana Australia 22 307 0.5× 647 1.1× 229 0.5× 402 1.4× 34 0.1× 51 2.0k

Countries citing papers authored by Ivan Marsic

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Marsic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Marsic

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

All Works

20 of 20 papers shown
1.
Sarcevic, Aleksandra, et al.. (2025). An image dataset for surveillance of personal protective equipment adherence in healthcare. Scientific Data. 12(1). 96–96.
2.
Linguraru, Marius George, et al.. (2024). Comparative analysis of personal protective equipment nonadherence detection: computer vision versus human observers. Journal of the American Medical Informatics Association. 32(1). 163–171.
3.
Sarcevic, Aleksandra, et al.. (2024). Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data. Journal of Biomedical Informatics. 161. 104767–104767.
4.
Burd, Randall S., et al.. (2024). ASELMAR: Active and semi-supervised learning-based framework to reduce multi-labeling efforts for activity recognition. Computer Vision and Image Understanding. 251. 104269–104269.
5.
Zhao, Jiaojiao, Yanyi Zhang, Xinyu Li, et al.. (2022). TubeR: Tubelet Transformer for Video Action Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13588–13597. 53 indexed citations
6.
Tashiro, Jun, et al.. (2021). Metrics of shock in pediatric trauma patients: A systematic search and review. Injury. 52(10). 3166–3172. 5 indexed citations
7.
Cheng, Megan, et al.. (2020). Assessment of Nonroutine Events During Intubation After Pediatric Trauma. Journal of Surgical Research. 259. 276–283. 5 indexed citations
8.
Gu, Yue, et al.. (2020). Speech-Based Activity Recognition for Trauma Resuscitation. PubMed. 2020. 1–8. 4 indexed citations
9.
Lee, Young Ho & Ivan Marsic. (2017). A Sensing Platform For A UHF RFID System. International journal of scientific and technology research. 6(2). 114–121. 1 indexed citations
10.
Li, Xinyu, Yanyi Zhang, Jianyu Zhang, et al.. (2017). Process Progress Estimation and Phase Detection.. arXiv (Cornell University). 1 indexed citations
11.
Lee, Young Ho & Ivan Marsic. (2017). Object Motion Detection System Using Passive UHF RFID Technology For A Trauma Bay. International journal of scientific and technology research. 6(3). 1–6. 1 indexed citations
12.
Webman, Rachel, JaeWon Yang, Paul C. Mullan, et al.. (2016). Classification and team response to nonroutine events occurring during pediatric trauma resuscitation. The Journal of Trauma: Injury, Infection, and Critical Care. 81(4). 666–673. 21 indexed citations
13.
Li, Xinyu, JaeWon Yang, Rachel Webman, et al.. (2016). Activity recognition for medical teamwork based on passive RFID. PubMed. 2016. 1–9. 18 indexed citations
14.
Zhang, Kai, Vincent W. Zheng, Qiaojun Wang, et al.. (2013). Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 388–395. 33 indexed citations
15.
Parlak, Siddika, Ivan Marsic, & Randall S. Burd. (2011). Activity recognition for emergency care using RFID. 40–46. 13 indexed citations
16.
Correa, C. & Ivan Marsic. (2004). A simplification architecture for exploring navigation tradeoffs in mobile VR. 133–140. 1 indexed citations
17.
Marsic, Ivan. (2001). An architecture for heterogeneous groupware applications. International Conference on Software Engineering. 475–484. 37 indexed citations
18.
Marsic, Ivan, et al.. (2001). Latecomer and Crash Recovery Support in Fault-Tolerant Groupware. IEEE Distributed Systems Online. 2(7). 1–14. 15 indexed citations
19.
Marsic, Ivan, et al.. (2000). A Novel Concurrency Control Algorithm in Distributed Groupware. Parallel and Distributed Processing Techniques and Applications. 3 indexed citations
20.
Marsic, Ivan, et al.. (1999). Design of the DISCIPLE Synchronous Collaboration Framework.. 316–324. 16 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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