R.C.S. Morling

451 citations
61 papers · 331 · h-index 10

Impact in

Papers in

R.C.S. Morling

55 papers receiving 308 citations

Peers

R.C.S. Morling
Comparison fields: 5 of 55
  • Signal Processing 68
  • Computer Vision and Pattern Recognition 119
  • Media Technology 40
  • Biophysics 21
  • Computational Mechanics 53
Replace Giulio Coluccia with:
Giulio Coluccia Italy
Valerio Cambareri Italy
Didier Demigny France
P. Senn France
P.A. Ruetz United States
Pierre Greisen Switzerland
Chu Yu Taiwan
Christopher T. Johnston New Zealand
Toshihiro Furukawa Japan
K. Azadet United States
R.C.S. Morling relative to Giulio Coluccia Italy Giulio Coluccia's profile →
Citations per field
00.5×1.5×2.1×
Giulio Coluccia · 1×
Citations per year

Countries citing papers authored by R.C.S. Morling

Since Specialization
Citations

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

Fields of papers citing papers by R.C.S. Morling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.C.S. Morling. 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 R.C.S. Morling. The network helps show where R.C.S. Morling may publish in the future.

Co-authors

The 17 scholars most cited alongside R.C.S. Morling, 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 R.C.S. Morling Line = papers co-authored together R.C.S. Morling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201139
2 201232
3 200224
4 200219
5 199515
6 201214
7 199814
8 199513
9 200412
10 200710
11 20079
12 20028
13 20068
14 20097
15 20157
16 20037
17 20167
18 20026
19 19776
20 19945

About R.C.S. Morling

R.C.S. Morling is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, Computational Mechanics and Computer Networks and Communications, having authored 61 papers that have together received 331 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (20 papers), Advanced Adaptive Filtering Techniques (16 papers), Digital Filter Design and Implementation (15 papers), Advancements in PLL and VCO Technologies (12 papers), Numerical Methods and Algorithms (9 papers), Advanced Power Amplifier Design (8 papers), Advanced Wireless Communication Techniques (8 papers) and Radio Frequency Integrated Circuit Design (7 papers). The work is most often cited by research in Signal Processing (68 citations), Computer Vision and Pattern Recognition (119 citations), Media Technology (40 citations), Biophysics (21 citations) and Computational Mechanics (53 citations). R.C.S. Morling has collaborated with scholars based in United Kingdom, Cyprus and Italy. Frequent co-authors include İzzet Kale, Ediz Cetin, G.D. Cain, Giovanni Neri, Eckhard Grass, Tullio Salmon Cinotti, Stephen D. Brown, Nor Zaidi Haron, Robert Hughes and Piero Angeletti. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Electronics Letters, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Biomedical Circuits and Systems and IEEE Signal Processing Magazine.

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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