S. Mita

514 citations
41 papers · 314 · h-index 9

Impact in

Papers in

S. Mita

37 papers receiving 299 citations

Peers

S. Mita
Comparison fields: 5 of 50
  • Automotive Engineering 92
  • Computer Vision and Pattern Recognition 134
  • Computational Theory and Mathematics 70
  • Human-Computer Interaction 20
  • Computer Networks and Communications 79
Replace Sonia Mota with:
Sonia Mota Spain
H. V. Ravish Aradhya India
N. Gomathi India
Lilly Spirkovska United States
Yuexuan An China
Yang Cai United States
Prateek Jain India
Siyu Liao United States
Mustafa Alçı Türkiye
S. Mita relative to Sonia Mota Spain Sonia Mota's profile →
Citations per field
00.5×4.9×
Sonia Mota · 1×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 201022
3 199919
4 200219
5 201716
6 201815
7 200812
8 200211
9 201811
10 19898
11 20188
12 20017
13 20027
14 19876
15 19916
16 20176
17 20045
18 20045
19 19854
20 20034

About S. Mita

S. Mita is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 41 papers that have together received 314 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), Algorithms and Data Compression (7 papers), Coding theory and cryptography (7 papers), Advanced Wireless Communication Techniques (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Magnetic properties of thin films (5 papers). The work is most often cited by research in Automotive Engineering (92 citations), Computer Vision and Pattern Recognition (134 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, Kazue Yoneda, Bin Qi, David McAllester, Chunzhao Guo, J.W.M. Bergmans, Naoto Kobayashi, Akihisa Takeuchi and Kiyosumi Kidono. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Communications, IEEE Transactions on Information Theory, Electronics Letters 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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