N. DeClaris

742 citations
30 papers · 507 · h-index 10

Impact in

Papers in

N. DeClaris

25 papers receiving 449 citations

Peers

N. DeClaris
Comparison fields: 5 of 132
  • Signal Processing 82
  • Computer Vision and Pattern Recognition 111
  • Artificial Intelligence 153
  • Statistics and Probability 28
  • Control and Systems Engineering 73
Replace Laiwan Chan with:
Laiwan Chan Hong Kong
Yizhang Jiang China
Julien Ugon Australia
Jun Huan United States
S. Rajaram India
Pablo M. Olmos Spain
Simon Günter Switzerland
Cris Koutsougeras United States
Sung Yang Bang South Korea
Hoai Minh Le France
N. DeClaris relative to Laiwan Chan Hong Kong Laiwan Chan's profile →
Citations per field
00.5×1.5×
Laiwan Chan · 1×
Citations per year

Countries citing papers authored by N. DeClaris

Since Specialization
Citations

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

Fields of papers citing papers by N. DeClaris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Aspects of network and system theory
1971211
2 1984105
3 200248
4 199618
5 200216
6 200216
7
Adaptive vector space text filtering for monolingual and cross-language application
199614
8 200211
9
Mathematical concepts and novel heuristic methods for data clustering and visualization
199611
10 200210
11 20028
12 19845
13 20025
14 19734
15
A systems approach to intensive care medicine.
19793
16 19633
17 20023
18 20023
19 20032
20 20022

About N. DeClaris

N. DeClaris is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 30 papers that have together received 507 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Data Management and Algorithms (3 papers), Advanced Clustering Algorithms Research (3 papers), Parallel Computing and Optimization Techniques (2 papers), Vitamin C and Antioxidants Research (2 papers), Fuzzy Logic and Control Systems (2 papers), Advanced Text Analysis Techniques (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Signal Processing (82 citations), Computer Vision and Pattern Recognition (111 citations), Artificial Intelligence (153 citations), Statistics and Probability (28 citations) and Control and Systems Engineering (73 citations). N. DeClaris has collaborated with scholars based in United States, Taiwan and Egypt. Frequent co-authors include Ernst A. Guillemin, Kauno U. Laiho, I K Berezesky, B F Trump, Patricia C. Phelps, Takaya Sato, Karl Murphy, Mu‐Chun Su, Douglas W. Oard and Ta‐Kang Liu. Their work appears in journals such as Environmental Health Perspectives, Networks, Proceedings of the IEEE, Electronics Letters and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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