H. Helms

1.5k citations
14 papers · 1.1k · h-index 8

Impact in

Papers in

H. Helms

13 papers receiving 906 citations

Peers

H. Helms
Comparison fields: 5 of 113
  • Signal Processing 468
  • Computer Vision and Pattern Recognition 331
  • Computational Theory and Mathematics 153
  • Computational Mechanics 178
  • Applied Mathematics 86
Replace Bernard Gold with:
Bernard Gold United States
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L. Franks United States
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H. Helms relative to Bernard Gold United States Bernard Gold's profile →
Citations per field
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Citations per year

Countries citing papers authored by H. Helms

Since Specialization
Citations

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

Fields of papers citing papers by H. Helms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside H. Helms, 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 H. Helms Line = papers co-authored together H. Helms links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1967330
2 1967307
3 1962106
4 196778
5 197472
6 197153
7 196849
8 197242
9 19767
10 19665
11 19654
12
Literature in digital signal processing: terminology and permuted title index
19732
13
Literature in digital signal processing : author and permuted title index
19751
14 19641

About H. Helms

H. Helms is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (7 papers), Image and Signal Denoising Methods (5 papers), Numerical Methods and Algorithms (3 papers), Advanced Electrical Measurement Techniques (3 papers), Structural Health Monitoring Techniques (2 papers), Sensor Technology and Measurement Systems (2 papers), Control Systems and Identification (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Signal Processing (468 citations), Computer Vision and Pattern Recognition (331 citations), Computational Theory and Mathematics (153 citations), Computational Mechanics (178 citations) and Applied Mathematics (86 citations). H. Helms has collaborated with scholars based in United States and China. Frequent co-authors include Charles M. Rader, J.W. Cooley, R. Kaenel, W.T. Cochran, D. L. Favin, John B. Thomas, William Lang, G. C. Maling, P. D. Welch and L. R. Rabiner. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Automatic Control, Bell System Technical Journal, IEEE Transactions on Acoustics Speech and Signal Processing and CERN Document Server (European Organization for Nuclear Research).

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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