J. Vesma

560 citations
24 papers · 417 · h-index 10

Impact in

Papers in

J. Vesma

23 papers receiving 340 citations

Peers

J. Vesma
Comparison fields: 5 of 25
  • Signal Processing 339
  • Computational Mechanics 151
  • Computer Vision and Pattern Recognition 124
  • Computational Theory and Mathematics 76
  • Electrical and Electronic Engineering 207
Replace E. Hermanowicz with:
E. Hermanowicz Poland
S.S. Lawson United Kingdom
Tim Hentschel Germany
G. Bonnerot France
S.D. Sherlekar India
R. Mahesh Singapore
B. Nowrouzian Canada
L. Gazsi Germany
Kenny Johansson Sweden
Doru Florin Chiper Romania
J. Vesma relative to E. Hermanowicz Poland E. Hermanowicz's profile →
Citations per field
00.5×5.7×
E. Hermanowicz · 1×
Citations per year

Countries citing papers authored by J. Vesma

Since Specialization
Citations

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

Fields of papers citing papers by J. Vesma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside J. Vesma, 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 J. Vesma Line = papers co-authored together J. Vesma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200273
2 200266
3 200337
4 200037
5 200733
6 200030
7 200224
8 200223
9 200216
10 200210
11 20029
12
The Effects of Quantizing the Fractional Interval in Interpolation Filters
20009
13 19988
14 20026
15 20026
16 20026
17
Digital image resampling by modified B-spline functions
20005
18 20034
19 20074
20 20023

About J. Vesma

J. Vesma is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 24 papers that have together received 417 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (19 papers), Image and Signal Denoising Methods (10 papers), Advanced Adaptive Filtering Techniques (8 papers), Advancements in PLL and VCO Technologies (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), Numerical Methods and Algorithms (3 papers), Advanced Wireless Communication Techniques (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Signal Processing (339 citations), Computational Mechanics (151 citations), Computer Vision and Pattern Recognition (124 citations), Computational Theory and Mathematics (76 citations) and Electrical and Electronic Engineering (207 citations). J. Vesma has collaborated with scholars based in Finland and United States. Frequent co-authors include T. Saramäki, Markku Renfors, Ridha Hamila, J. Rinne, Karen Egiazarian, Atanas Gotchev, Francisco J. López, Olav Tirkkonen, Pekka Talmola and N. Nefedov. Their work appears in journals such as Circuits Systems and Signal Processing, INFM-OAR (INFN Catania) and IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing.

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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