P. M. Gravila

993 total papers · 36.9k total citations
20 papers, 406 citations indexed

About

P. M. Gravila is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, P. M. Gravila has authored 20 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in P. M. Gravila's work include Solar Radiation and Photovoltaics (11 papers), Solar Thermal and Photovoltaic Systems (5 papers) and Photovoltaic System Optimization Techniques (4 papers). P. M. Gravila is often cited by papers focused on Solar Radiation and Photovoltaics (11 papers), Solar Thermal and Photovoltaic Systems (5 papers) and Photovoltaic System Optimization Techniques (4 papers). P. M. Gravila collaborates with scholars based in Romania, Italy and Switzerland. P. M. Gravila's co-authors include Marius Paulescu, Eugenia Paulescu, Viorel Bădescu, Remus Boata, Nicoleta Stefu, Delia Calinoiu, Ion I. Cotǎescu, Corina Maria Vasile, Pietro Litta and G. G. Sacco and has published in prestigious journals such as Physical review. B, Condensed matter, Energy Conversion and Management and Physics Letters A.

In The Last Decade

P. M. Gravila

20 papers receiving 391 citations

Author Peers

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

Author						Papers	Cites
P. M. Gravila	257	190	137	67	44	20	406
P.D. Kalb	246 1.0×	148 0.8×	99 0.7×	74 1.1×	52 1.2×	20	479
M.A.C. Chendo	114 0.4×	176 0.9×	161 1.2×	63 0.9×	19 0.4×	31	377
John Heiser	247 1.0×	165 0.9×	124 0.9×	84 1.3×	54 1.2×	28	485
Gerald M. Lohmann	156 0.6×	140 0.7×	184 1.3×	70 1.0×	34 0.8×	10	424
E.J.K.B. Banda	242 0.9×	187 1.0×	128 0.9×	32 0.5×	11 0.3×	18	371
Hein Dieter Behr	188 0.7×	84 0.4×	88 0.6×	149 2.2×	89 2.0×	20	432
Clara Arbizu‐Barrena	244 0.9×	131 0.7×	118 0.9×	142 2.1×	124 2.8×	11	366
David Riveros-Rosas	97 0.4×	260 1.4×	113 0.8×	34 0.5×	36 0.8×	37	438
Pedro Roth	130 0.5×	245 1.3×	55 0.4×	32 0.5×	49 1.1×	14	405
Anton Driesse	212 0.8×	232 1.2×	172 1.3×	51 0.8×	28 0.6×	30	412

Countries citing papers authored by P. M. Gravila

Since Specialization

Citations

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

Fields of papers citing papers by P. M. Gravila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. M. Gravila

This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Gravila. A scholar is included among the top collaborators of P. M. Gravila 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. M. Gravila. P. M. Gravila 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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