Dan A. Simovici

1.8k citations
108 papers · 853 · h-index 15

Impact in

Papers in

Dan A. Simovici

94 papers receiving 785 citations

Peers

Dan A. Simovici
Comparison fields: 5 of 111
  • Computational Theory and Mathematics 250
  • Artificial Intelligence 426
  • Signal Processing 128
  • Information Systems 228
  • Computer Vision and Pattern Recognition 143
Replace Hisashi Kashima with:
Hisashi Kashima Japan
Gerda Janssens Belgium
Rafael C. Carrasco Spain
M. D. McIlroy United States
William Evans Canada
Hung‐Yu Kao Taiwan
Kamal Ali United States
E. Koutsofios United States
Craig Stanfill United States
Dan A. Simovici relative to Hisashi Kashima Japan Hisashi Kashima's profile →
Citations per field
00.5×1.5×2.3×
Hisashi Kashima · 1×
Citations per year

Countries citing papers authored by Dan A. Simovici

Since Specialization
Citations

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

Fields of papers citing papers by Dan A. Simovici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan A. Simovici. 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 Dan A. Simovici. The network helps show where Dan A. Simovici may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201870
2 200467
3 200252
4 200242
5 200641
6 201438
7 200832
8 200330
9 201528
10 200427
11 200720
12 200516
13 202215
14 200215
15 201314
16 200414
17 199413
18 201213
19 201213
20 199112

About Dan A. Simovici

Dan A. Simovici is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Signal Processing and Molecular Biology, having authored 108 papers that have together received 853 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (23 papers), Advanced Algebra and Logic (19 papers), Data Mining Algorithms and Applications (19 papers), Data Management and Algorithms (17 papers), Neural Networks and Applications (13 papers), Advanced Database Systems and Queries (10 papers), Algorithms and Data Compression (10 papers) and Computability, Logic, AI Algorithms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (250 citations), Artificial Intelligence (426 citations), Signal Processing (128 citations), Information Systems (228 citations) and Computer Vision and Pattern Recognition (143 citations). Dan A. Simovici has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Szymon Jaroszewicz, Richard Butterworth, Chabane Djeraba, Chabane Djeraba, Gregory Piatetsky-Shapiro, Catherine Racowsky, G. Wright Bates, Janis L. Anderson, Elizabeth S. Ginsburg and Florina Haimovici. Their work appears in journals such as Discrete Applied Mathematics, IEEE Transactions on Computers, Information Sciences, Applied Intelligence and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact