Daniel Iercan

492 citations
20 papers · 370 · h-index 9

Impact in

Papers in

Daniel Iercan

19 papers receiving 341 citations

Peers

Daniel Iercan
Comparison fields: 5 of 69
  • Hardware and Architecture 79
  • Computer Vision and Pattern Recognition 151
  • Artificial Intelligence 155
  • Computational Theory and Mathematics 57
  • Control and Systems Engineering 54
Replace Neng Hou with:
Neng Hou China
Ajith Abraham India
Minsoo Kim South Korea
Xiumin Zhou China
He Guo China
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Ali Mahani Iran
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Iercan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Iercan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniel Iercan, 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 Daniel Iercan Line = papers co-authored together Daniel Iercan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2021133
2
Optimal Robot Path Planning Using Gravitational Search Algorithm
201364
3 200639
4 200725
5 201323
6 200720
7 201317
8 200812
9 20098
10 20107
11 20095
12
nRobotic applications to path planning for mobile robots in missions
20124
13 20102
14
Sliding mode control for a buck converter
20072
15 20132
16 20072
17 20082
18
Timed Input/Output Determinacy for Tasks with Precedence Constraints
20081
19 20091
20 20191

About Daniel Iercan

Daniel Iercan is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (8 papers), Embedded Systems Design Techniques (8 papers), Robotic Path Planning Algorithms (5 papers), Parallel Computing and Optimization Techniques (3 papers), Modular Robots and Swarm Intelligence (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Formal Methods in Verification (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Hardware and Architecture (79 citations), Computer Vision and Pattern Recognition (151 citations), Artificial Intelligence (155 citations), Computational Theory and Mathematics (57 citations) and Control and Systems Engineering (54 citations). Daniel Iercan has collaborated with scholars based in Romania, United States and Austria. Frequent co-authors include Radu‐Emil Precup, Ioan-Daniel Borlea, Alexandra-Bianca Borlea, Florin Drăgan, Christoph Kirsch, Radu‐Codruţ David, Arkadeb Ghosal, Alberto Sangiovanni‐Vincentelli, Thomas A. Henzinger and Daniel-Ioan Curiac. Their work appears in journals such as ACM SIGPLAN Notices, Science of Computer Programming, ACM Transactions on Embedded Computing Systems, Knowledge-Based Systems and 2008 Design, Automation and Test in Europe.

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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