Daniel Iercan

493 citations
20 papers · 407 · h-index 10

Impact in

Papers in

Daniel Iercan

19 papers receiving 376 citations

Peers

Daniel Iercan
Comparison fields: 5 of 69
  • Hardware and Architecture 92
  • Computer Vision and Pattern Recognition 162
  • Artificial Intelligence 168
  • Computational Theory and Mathematics 72
  • Control and Systems Engineering 58
Replace Neng Hou with:
Neng Hou China
Minsoo Kim South Korea
Eun-Young Kang Belgium
Hongjun Choi South Korea
Chenyang Lu United States
He Guo China
Ali Mahani Iran
Xiumin Zhou China
Daniel-Ioan Curiac Romania
Hussein Al-Zoubi Jordan
Daniel Iercan relative to Neng Hou China Neng Hou's profile →
Citations per field
00.5×1.5×2×2.3×
Neng Hou · 1×
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 2021139
2
Optimal Robot Path Planning Using Gravitational Search Algorithm
201367
3 200644
4 201328
5 200728
6 201321
7 200720
8 200815
9 20099
10 20109
11 20095
12 20105
13
nRobotic applications to path planning for mobile robots in missions
20124
14 20133
15 20083
16 20072
17
Sliding mode control for a buck converter
20072
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 407 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (8 papers), Real-Time Systems Scheduling (8 papers), Robotic Path Planning Algorithms (5 papers), Modular Robots and Swarm Intelligence (3 papers), Parallel Computing and Optimization Techniques (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Formal Methods in Verification (3 papers) and Advanced Clustering Algorithms Research (2 papers). The work is most often cited by research in Hardware and Architecture (92 citations), Computer Vision and Pattern Recognition (162 citations), Artificial Intelligence (168 citations), Computational Theory and Mathematics (72 citations) and Control and Systems Engineering (58 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 Joshua Auerbach. Their work appears in journals such as Science of Computer Programming, ACM SIGPLAN Notices, Knowledge-Based Systems, Australasian Journal of Paramedicine and ACM Transactions on Embedded Computing 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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