Hiroshi Akima

3.8k total citations · 2 hit papers
27 papers, 2.8k citations indexed

About

Hiroshi Akima is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hiroshi Akima has authored 27 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 7 papers in Computer Graphics and Computer-Aided Design and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hiroshi Akima's work include Advanced Numerical Analysis Techniques (13 papers), Computer Graphics and Visualization Techniques (7 papers) and Electromagnetic Compatibility and Noise Suppression (4 papers). Hiroshi Akima is often cited by papers focused on Advanced Numerical Analysis Techniques (13 papers), Computer Graphics and Visualization Techniques (7 papers) and Electromagnetic Compatibility and Noise Suppression (4 papers). Hiroshi Akima collaborates with scholars based in United States and Japan. Hiroshi Akima's co-authors include Albrecht Gebhardt, A. Dec, Yoshihiko Horio, Kazuhiro Gotō and K. Suyama and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Communications of the ACM and Journal of the ACM.

In The Last Decade

Hiroshi Akima

25 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures

1970 1.5k citations Hiroshi Akima profile →
A Method of Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points

1978 556 citations Hiroshi Akima ACM Transactions on Mathematical Software profile →

Peers

Hiroshi Akima

CM

GPC

AS

OCEAN

EE

C. J. Moore United Kingdom

David B. Preston

J. M. T. Thompson United Kingdom

J. Morlet France

Gregory P. King United Kingdom

L. Knopoff United States

C. E. Grosch United States

Jian Sheng United States

F.N. Fritsch United States

R.E. Carlson United States

C. J. Moore United Kingdom

Hiroshi Akima

494 ×1.0

CM

650 ×1.5

GPC

286 ×0.7

AS

241 ×0.7

OCEAN

247 ×1.0

EE

Citations per year, relative to Hiroshi Akima Hiroshi Akima (= 1×) peers C. J. Moore

Countries citing papers authored by Hiroshi Akima

Since Specialization

Citations

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

Fields of papers citing papers by Hiroshi Akima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Akima

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Akima. A scholar is included among the top collaborators of Hiroshi Akima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiroshi Akima. Hiroshi Akima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Akima, Hiroshi & Albrecht Gebhardt. (2020). Interpolation of Irregularly and Regularly Spaced Data [R package akima version 0.6-2.1]. 12 indexed citations

2.

Akima, Hiroshi & Albrecht Gebhardt. (2015). Interpolation of Irregularly and Regularly Spaced Data. 46 indexed citations

3.

Akima, Hiroshi, et al.. (2010). A 10 GHz frequency-drift temperature compensated LC VCO with fast-settling low-noise voltage regulator in 0.13 µm CMOS. 1–4. 15 indexed citations

4.

Dec, A., et al.. (2009). Audio Pre-Amplifiers for Digital Electret Microphones in 0.18um CMOS Process. 3. 2489–2492. 3 indexed citations

5.

Dec, A., et al.. (2009). A 5GHz LC VCO with extended linear-range varactor in purely digital 0.15um CMOS Process. 567–570. 6 indexed citations

6.

Gotō, Kazuhiro, A. Dec, Yoshihiko Horio, K. Suyama, & Hiroshi Akima. (2003). IC package and bonding wire modeling software and its application to RFIC design. 3. 2109–2112.

7.

Akima, Hiroshi. (1996). Algorithm 761: Scattered-data surface fitting that has the accuracy of a cubic polynomial. ACM Transactions on Mathematical Software. 22(3). 362–371. 79 indexed citations

8.

Akima, Hiroshi. (1996). Algorithm 760: Rectangular-grid-data surface fitting that has the accuracy of a bicubic polynomial. ACM Transactions on Mathematical Software. 22(3). 357–361. 53 indexed citations

9.

Akima, Hiroshi. (1991). A method of univariate interpolation that has the accuracy of a third-degree polynomial. ACM Transactions on Mathematical Software. 17(3). 341–366. 75 indexed citations

10.

Akima, Hiroshi. (1991). Algorithm 697. ACM Transactions on Mathematical Software. 17(3). 367–367. 10 indexed citations

11.

Akima, Hiroshi. (1984). On estimating partial derivatives for bivariate interpolation of scattered data. Rocky Mountain Journal of Mathematics. 14(1). 48 indexed citations

12.

Akima, Hiroshi. (1979). Remark on “Algorithm 526: Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points [E1]”. ACM Transactions on Mathematical Software. 5(2). 242–243. 3 indexed citations

13.

Akima, Hiroshi. (1978). A Method of Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points. ACM Transactions on Mathematical Software. 4(2). 148–159. 556 indexed citations breakdown →

14.

Akima, Hiroshi. (1978). Algorithm 526: Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points [E1]. ACM Transactions on Mathematical Software. 4(2). 160–164. 45 indexed citations

15.

Akima, Hiroshi. (1976). Modulation studies for direct satellite communication of voice signals. STIN. 77. 25385.

16.

Akima, Hiroshi. (1975). Comments on ‘Optimal contour mapping using universal kriging’ by Ricardo A. Olea. Journal of Geophysical Research Atmospheres. 80(5). 832–834. 8 indexed citations

17.

Akima, Hiroshi. (1975). A Method of Bivariate Interpolation and Smooth Surface Fitting for Values Given at Irregularly Distributed Points. 28 indexed citations

18.

Akima, Hiroshi. (1972). A Method of Numerical Representation for the Amplitude-Probability Distribution of Atmospheric Radio Noise. 2 indexed citations

19.

Akima, Hiroshi. (1969). A METHOD OF SMOOTH CURVE FITTING. Defense Technical Information Center (DTIC). 23 indexed citations

20.

Akima, Hiroshi, et al.. (1969). REQUIRED SIGNAL-TO-NOISE RATIOS FOR HF COMMUNICATION SYSTEMS.. 2 indexed citations

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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