S. Mita

514 citations
43 papers · 355 · h-index 11

Impact in

Papers in

S. Mita

38 papers receiving 340 citations

Peers

S. Mita
Comparison fields: 5 of 51
  • Automotive Engineering 105
  • Computer Vision and Pattern Recognition 162
  • Computational Theory and Mathematics 70
  • Human-Computer Interaction 20
  • Computer Networks and Communications 79
Replace Sonia Mota with:
Sonia Mota Spain
David Isele United States
Babita R. Jose India
Lucas Veronese Brazil
H. V. Ravish Aradhya India
Lilly Spirkovska United States
Joachim Gerlach Germany
Xian Wei China
Yuexuan An China
S. Mita relative to Sonia Mota Spain Sonia Mota's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Mita

Since Specialization
Citations

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

Fields of papers citing papers by S. Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Mita, 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 S. Mita Line = papers co-authored together S. Mita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201023
3 202023
4 199919
5 200219
6 201816
7 201716
8 200814
9 201813
10 200211
11 201810
12 19898
13 20017
14 20027
15 19876
16 19916
17 20176
18 19935
19 20045
20 20045

About S. Mita

S. Mita is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 43 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (9 papers), Error Correcting Code Techniques (9 papers), Cellular Automata and Applications (9 papers), Autonomous Vehicle Technology and Safety (7 papers), Algorithms and Data Compression (7 papers), Coding theory and cryptography (7 papers), Advanced Wireless Communication Techniques (7 papers) and Magnetic properties of thin films (5 papers). The work is most often cited by research in Automotive Engineering (105 citations), Computer Vision and Pattern Recognition (162 citations), Computational Theory and Mathematics (70 citations), Human-Computer Interaction (20 citations) and Computer Networks and Communications (79 citations). S. Mita has collaborated with scholars based in Japan, Switzerland and Netherlands. Frequent co-authors include Vijay John, Zheng Liu, Bin Qi, Kazue Yoneda, Chunzhao Guo, David McAllester, J.W.M. Bergmans, Hossein Tehrani, Naoto Kobayashi and Akihisa Takeuchi. Their work appears in journals such as IEEE Transactions on Magnetics, Electronics Letters, IEEE Transactions on Communications, IEEE Transactions on Information Theory and Signal Image and Video 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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