Ferdian Jovan

462 citations
17 papers · 166 · h-index 8

Impact in

Papers in

Ferdian Jovan

15 papers receiving 161 citations

Peers

Ferdian Jovan
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 58
  • Insect Science 24
  • Aerospace Engineering 30
  • Safety, Risk, Reliability and Quality 10
  • Automotive Engineering 13
Replace S. B. Deosarkar with:
S. B. Deosarkar India
Radzi Ambar Malaysia
Ravindra Yadav India
Baicang Guo China
Arockia Selvakumar Arockia Doss India
Wenhui Huang Singapore
Deepak Poddar United States
Debapriya Maji India
Xiangmiao Wu China
Je Hyung Jung Spain
Ferdian Jovan relative to S. B. Deosarkar India S. B. Deosarkar's profile →
Citations per field
00.5×
S. B. Deosarkar · 1×
Citations per year

Countries citing papers authored by Ferdian Jovan

Since Specialization
Citations

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

Fields of papers citing papers by Ferdian Jovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ferdian Jovan, 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 Ferdian Jovan Line = papers co-authored together Ferdian Jovan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Real-time multisensor people tracking for human-robot spatial interaction
201544
2 201125
3 202222
4 202513
5 202012
6 202311
7 20239
8 20168
9 20167
10 20167
11 20143
12 20232
13 20251
14 20231
15
Advanced Petri Nets and the Fluent Calculus.
20141
16 20230
17
Efficient bayesian methods for counting processes in partially observable environments
20180

About Ferdian Jovan

Ferdian Jovan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications and Neurology, having authored 17 papers that have together received 166 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (3 papers), Advanced Chemical Sensor Technologies (3 papers), Insect Pheromone Research and Control (2 papers), Human Pose and Action Recognition (2 papers), Reinforcement Learning in Robotics (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Robotics and Sensor-Based Localization (2 papers) and Petri Nets in System Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (58 citations), Insect Science (24 citations), Aerospace Engineering (30 citations), Safety, Risk, Reliability and Quality (10 citations) and Automotive Engineering (13 citations). Ferdian Jovan has collaborated with scholars based in United Kingdom, Indonesia and United States. Frequent co-authors include Christian Dondrup, Nicola Bellotto, Marc Hanheide, Ryan McConville, Ian Craddock, Sara Bernardini, Andrew Weightman, Simon Watson, Kosuke Sekiyama and Wisnu Jatmiko. Their work appears in journals such as Journal of Field Robotics, Scientific Reports, Autonomous Robots, Scientific Data and International Journal on Smart Sensing and Intelligent Systems.

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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