Akihito Ogawa

625 total citations
32 papers, 336 citations indexed

About

Akihito Ogawa is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Akihito Ogawa has authored 32 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Control and Systems Engineering and 12 papers in Biomedical Engineering. Recurrent topics in Akihito Ogawa's work include Robot Manipulation and Learning (10 papers), Phase-change materials and chalcogenides (9 papers) and Semiconductor Lasers and Optical Devices (6 papers). Akihito Ogawa is often cited by papers focused on Robot Manipulation and Learning (10 papers), Phase-change materials and chalcogenides (9 papers) and Semiconductor Lasers and Optical Devices (6 papers). Akihito Ogawa collaborates with scholars based in Japan and United States. Akihito Ogawa's co-authors include Mitsunobu Yoshida, Hiroshi Takahashi, Yoshiyuki Ishihara, Ping Jiang, Yuji Nagai, Takamitsu Matsubara, Yunduan Cui, Y. Saito, Sumio Ashida and Takashi Usui and has published in prestigious journals such as Sensors, Japanese Journal of Applied Physics and IEEE Transactions on Magnetics.

In The Last Decade

Akihito Ogawa

25 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akihito Ogawa Japan 9 118 109 89 54 40 32 336
Jung-Hoon Hwang South Korea 12 92 0.8× 119 1.1× 117 1.3× 52 1.0× 77 1.9× 52 381
Peiliang Wang China 10 117 1.0× 161 1.5× 79 0.9× 64 1.2× 43 1.1× 53 427
Keisuke Koyama Japan 14 280 2.4× 59 0.5× 281 3.2× 110 2.0× 79 2.0× 57 586
Run Chen China 12 44 0.4× 133 1.2× 107 1.2× 36 0.7× 22 0.6× 23 428
Kai–Chiang Wu Taiwan 14 79 0.7× 467 4.3× 44 0.5× 78 1.4× 24 0.6× 70 667
Sung-Ho Lee South Korea 8 35 0.3× 99 0.9× 43 0.5× 42 0.8× 95 2.4× 44 317
Shih-Kang Kuo Taiwan 11 140 1.2× 168 1.5× 61 0.7× 110 2.0× 38 0.9× 24 422
Jim‐Wei Wu Taiwan 13 123 1.0× 112 1.0× 151 1.7× 35 0.6× 62 1.6× 64 442
Hyunseok Yang South Korea 10 99 0.8× 104 1.0× 226 2.5× 132 2.4× 86 2.1× 80 491
Chen Fu China 10 42 0.4× 45 0.4× 109 1.2× 27 0.5× 30 0.8× 33 304

Countries citing papers authored by Akihito Ogawa

Since Specialization
Citations

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

Fields of papers citing papers by Akihito Ogawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihito Ogawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akihito Ogawa. A scholar is included among the top collaborators of Akihito Ogawa 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 Akihito Ogawa. Akihito Ogawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ogawa, Akihito, et al.. (2022). Piece-Picking Robot Contributing to Logistics Automation by Handling Various Items. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2022(0). 1A1–F04.
2.
Jiang, Ping, et al.. (2022). Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking. Frontiers in Neurorobotics. 16. 806898–806898. 14 indexed citations
3.
4.
Jiang, Ping, et al.. (2020). Development of the grasp plan algorithm with safety ratio for grasping.. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2020(0). 1P1–B03.
5.
Ogawa, Akihito, et al.. (2020). Suction pad unit using a bellows pneumatic actuator as a support mechanism for an end effector of depalletizing robots. ROBOMECH Journal. 7(1). 19 indexed citations
6.
Cui, Yunduan, et al.. (2020). Probabilistic active filtering with gaussian processes for occluded object search in clutter. Applied Intelligence. 50(12). 4310–4324. 3 indexed citations
7.
Ogawa, Akihito, et al.. (2019). Cardboard Box Depalletizing Robot Using Two-Surface Suction and Elastic Joint Mechanisms: Mechanism Proposal and Verification. Journal of Robotics and Mechatronics. 31(3). 474–492. 3 indexed citations
8.
Ogawa, Akihito, et al.. (2019). Mobile Picking-Robot having wide reach area for shelves. 210–215. 6 indexed citations
9.
Ogawa, Akihito, et al.. (2018). A Gripper System for Robustly Picking Various Objects Placed Densely by Suction and Pinching. 6093–6098. 17 indexed citations
10.
Takahashi, Hiroshi, et al.. (2017). Experimental study on cogging-torque reduction of transverse-flux motor with skewed armature cores. Journal of Advanced Mechanical Design Systems and Manufacturing. 11(1). JAMDSM0005–JAMDSM0005.
11.
Takahashi, Hiroshi, et al.. (2016). Cogging-Torque Reduction of Transverse-Flux Motor by Skewing Stator Poles. IEEE Transactions on Magnetics. 52(7). 1–4. 33 indexed citations
12.
Ogawa, Akihito, et al.. (2016). High-speed and compact depalletizing robot capable of handling packages stacked complicatedly. 344–349. 19 indexed citations
13.
Ogawa, Akihito, et al.. (2013). New Wobble-Address Format for an Optical Disc with a Separated Guide Layer. Japanese Journal of Applied Physics. 52(9S2). 09LC02–09LC02. 3 indexed citations
14.
Ogawa, Akihito, et al.. (2003). Phase Change Recording Media of 20 GB Capacity for System with 0.6 mm-thick Substrate. TuA4–TuA4. 1 indexed citations
15.
Ashida, Sumio, et al.. (2003). Advanced Phase Change Media for Blue Laser Recording of 18 GB Capacity for 0.65 Numerical Aperture and 30 GB Capacity for 0.85 Numerical Aperture. Japanese Journal of Applied Physics. 42(Part 1, No. 2B). 858–862. 8 indexed citations
16.
Ogawa, Akihito, et al.. (2003). New Write Shift Compensation Method Modified for Optical Disk Systems to Which Partial Response Maximum Likelihood (PRML) Detection Is Applied. Japanese Journal of Applied Physics. 42(Part 1, No. 2B). 919–923. 4 indexed citations
17.
Nagai, Yuji, et al.. (2003). A New Method of Evaluating Signal Quality for Systems to which Partial Response and Maximum Likelihood Is Applied. Japanese Journal of Applied Physics. 42(Part 1, No. 2B). 971–975. 10 indexed citations
18.
Ogawa, Akihito, et al.. (2003). Combined Adaptive Controlled Partial Response and Maximum Likelihood Signal Processing for High-Density Optical Disks. Japanese Journal of Applied Physics. 42(Part 1, No. 2B). 924–930.
19.
Ogawa, Akihito, et al.. (2003). Analytical and Experimental Frequency Verification of Deployed Satellite Antennas. 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 2 indexed citations
20.
Hirata, Y. & Akihito Ogawa. (1976). Effect of nonlinear characteristics on PSK signals. Electronics and Communications in Japan. 59. 71–79.

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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