Sumiyoshi Abe

6.4k citations
172 papers · 4.5k · h-index 36

Impact in

Papers in

Sumiyoshi Abe

163 papers receiving 4.3k citations

Peers

Sumiyoshi Abe
Comparison fields: 5 of 106
  • Statistical and Nonlinear Physics 3.2k
  • Modeling and Simulation 537
  • Economics and Econometrics 1.8k
  • Geophysics 680
  • Statistics and Probability 300
Replace Μ.S. El Naschie with:
Μ.S. El Naschie Egypt
George M. Zaslavsky United States
А. И. Саичев Russia
Vladimir Vasilyevich Uchaikin Russia
G. M. Zaslavsky United States
Ya. G. Sinaǐ Russia
Sergio A Albeverio Germany
Edward R. Vrscay Canada
Ludwig Streit Germany
Helge Holden Norway
Sumiyoshi Abe relative to Μ.S. El Naschie Egypt Μ.S. El Naschie's profile →
Citations per field
00.5×5×10.6×
Μ.S. El Naschie · 1×
Citations per year

Countries citing papers authored by Sumiyoshi Abe

Since Specialization
Citations

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

Fields of papers citing papers by Sumiyoshi Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001528
2 1997211
3 1994202
4 2004152
5 2002139
6 2000131
7 2001125
8 2004122
9 2003116
10 199996
11 200591
12 200189
13 200687
14 200787
15 199985
16 200584
17 200580
18 200475
19 200174
20 201168

About Sumiyoshi Abe

Sumiyoshi Abe is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Modeling and Simulation, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 172 papers that have together received 4.5k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (89 papers), Advanced Thermodynamics and Statistical Mechanics (67 papers), Complex Systems and Time Series Analysis (65 papers), Quantum Mechanics and Applications (27 papers), Quantum Information and Cryptography (22 papers), Fractional Differential Equations Solutions (22 papers), Complex Network Analysis Techniques (18 papers) and Theoretical and Computational Physics (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.2k citations), Modeling and Simulation (537 citations), Economics and Econometrics (1.8k citations), Geophysics (680 citations) and Statistics and Probability (300 citations). Sumiyoshi Abe has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Norikazu Suzuki, Yuko Okamoto, A. K. Rajagopal, John T. Sheridan, Stefan Thurner, G. Baris Bagci, Christian H. Beck, Panayiotis Antoniou Varotsos, E. S. Skordas and N. V. Sarlis. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physics Letters A, Physical Review A, Europhysics Letters (EPL) and Physical Review Letters.

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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