Ivan Peric

163 papers receiving 1.6k citations

Peers

Ivan Peric
Comparison fields: 5 of 56
  • Radiation 883
  • Nuclear and High Energy Physics 1.1k
  • Applied Mathematics 524
  • Electrical and Electronic Engineering 865
  • Modeling and Simulation 66
Replace JJ Navarro Sanz with:
JJ Navarro Sanz Spain
Khosrow Chadan France
E. Sabia Italy
L. C. L. Yuan United States
G. Dattoli Italy
Roman Gennadievich Novikov France
Μ. Beneke Germany
B.A. Pohl United States
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Lawrence Ruby United States
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Citations per year

Countries citing papers authored by Ivan Peric

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Peric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007173
2 2006150
3 200698
4 200349
5 200943
6 201142
7 200741
8 200740
9 201039
10 201238
11 202135
12 200634
13 201326
14 200523
15 201322
16 200922
17
Recent Advances in Hilbert-type Inequalities
201221
18 201620
19 200520
20 200718

About Ivan Peric

Ivan Peric is a scholar working on Nuclear and High Energy Physics, Radiation, Applied Mathematics, Electrical and Electronic Engineering and Geometry and Topology, having authored 190 papers that have together received 1.8k indexed citations. Recurring topics across this work include Particle Detector Development and Performance (109 papers), CCD and CMOS Imaging Sensors (85 papers), Radiation Detection and Scintillator Technologies (80 papers), Mathematical Inequalities and Applications (54 papers), Functional Equations Stability Results (31 papers), Mathematical functions and polynomials (20 papers), Radiation Effects in Electronics (14 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). The work is most often cited by research in Radiation (883 citations), Nuclear and High Energy Physics (1.1k citations), Applied Mathematics (524 citations), Electrical and Electronic Engineering (865 citations) and Modeling and Simulation (66 citations). Ivan Peric has collaborated with scholars based in Germany, Croatia and United States. Frequent co-authors include Josip E. Pečarić, Peter Fischer, Laurent Blanquart, Emanuele Mandelli, K. Einsweiler, G. Meddeler, G. Comes, Norbert Wermes, P. Denes and M. Ritzert. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, IEEE Transactions on Nuclear Science, Journal of Mathematical Analysis and Applications and Journal of Inequalities and Applications.

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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