P. Găvruţa

43 total papers · 2.4k total citations
24 papers, 1.6k citations indexed

About

P. Găvruţa is a scholar working on Applied Mathematics, Mathematical Physics and Algebra and Number Theory. According to data from OpenAlex, P. Găvruţa has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Mathematics, 11 papers in Mathematical Physics and 3 papers in Algebra and Number Theory. Recurrent topics in P. Găvruţa's work include Functional Equations Stability Results (13 papers), Mathematical and Theoretical Analysis (5 papers) and Mathematical Analysis and Transform Methods (5 papers). P. Găvruţa is often cited by papers focused on Functional Equations Stability Results (13 papers), Mathematical and Theoretical Analysis (5 papers) and Mathematical Analysis and Transform Methods (5 papers). P. Găvruţa collaborates with scholars based in Romania, Iran and Greece. P. Găvruţa's co-authors include Laura Găvruţa, Liviu Cădariu, G. Zamani Eskandani, ‎Soon-Mo Jung, Yongjin Li, John Michael Rassias, Abbas Najati, Gwang Hui Kim and Daniel Popescu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Proceedings of the American Mathematical Society.

In The Last Decade

P. Găvruţa

22 papers receiving 1.3k citations

Hit Papers

A Generalization of the H... 1994 2026 2004 2015 1994 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
P. Găvruţa 1.6k 534 366 276 219 24 1.6k
Viorel Radu 1.3k 0.8× 341 0.6× 249 0.7× 410 1.5× 215 1.0× 17 1.3k
D. H. Hyers 1.9k 1.2× 701 1.3× 379 1.0× 307 1.1× 342 1.6× 15 2.2k
Dorian Popa 1.2k 0.8× 287 0.5× 368 1.0× 141 0.5× 390 1.8× 70 1.3k
Janusz Brzdȩk 2.1k 1.3× 660 1.2× 490 1.3× 513 1.9× 458 2.1× 141 2.2k
Stefan Czerwik 865 0.6× 292 0.5× 182 0.5× 1.3k 4.8× 130 0.6× 28 2.0k
Th. M. Rassias 777 0.5× 307 0.6× 186 0.5× 416 1.5× 506 2.3× 38 1.4k
M. K. Vamanamurthy 1.6k 1.0× 104 0.2× 209 0.6× 1.1k 4.1× 74 0.3× 56 2.1k
Cristinel Mortici 1.7k 1.1× 66 0.1× 540 1.5× 421 1.5× 159 0.7× 125 1.8k
Ronald G. Douglas 1.0k 0.7× 785 1.5× 547 1.5× 293 1.1× 30 0.1× 58 1.5k
Stanisław Łojasiewicz 499 0.3× 440 0.8× 145 0.4× 591 2.1× 145 0.7× 34 1.3k

Countries citing papers authored by P. Găvruţa

Since Specialization
Citations

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

Fields of papers citing papers by P. Găvruţa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Găvruţa

This figure shows the co-authorship network connecting the top 25 collaborators of P. Găvruţa. A scholar is included among the top collaborators of P. Găvruţa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Găvruţa. P. Găvruţa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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