Eva Sediva

22 total papers · 414 total citations
13 papers, 342 citations indexed

About

Eva Sediva is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Eva Sediva has authored 13 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Eva Sediva's work include Fuel Cells and Related Materials (4 papers), Advancements in Solid Oxide Fuel Cells (4 papers) and Advanced Memory and Neural Computing (3 papers). Eva Sediva is often cited by papers focused on Fuel Cells and Related Materials (4 papers), Advancements in Solid Oxide Fuel Cells (4 papers) and Advanced Memory and Neural Computing (3 papers). Eva Sediva collaborates with scholars based in United States, Switzerland and Italy. Eva Sediva's co-authors include Jennifer L. M. Rupp, Alfonso J. Carrillo, Zachary D. Hood, Simone Bonizzoni, Piercarlo Mustarelli, Thierry Moser, Alexander H. Bork, Thomas Defferriere, Harry L. Tuller and Nicola H. Perry and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Advanced Energy Materials.

In The Last Decade

Eva Sediva

13 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Eva Sediva	191	173	121	65	53	13	342
Jing Pan	135 0.7×	91 0.5×	161 1.3×	57 0.9×	28 0.5×	16	345
Federico Raffone	179 0.9×	154 0.9×	65 0.5×	51 0.8×	26 0.5×	22	316
Timo Bißwanger	91 0.5×	222 1.3×	78 0.6×	56 0.9×	71 1.3×	14	314
Lizhi Feng	197 1.0×	214 1.2×	53 0.4×	89 1.4×	38 0.7×	14	357
Jae Hwan Jeong	85 0.4×	144 0.8×	57 0.5×	218 3.4×	18 0.3×	8	324
Shukun Yin	118 0.6×	111 0.6×	171 1.4×	60 0.9×	97 1.8×	9	379
Yilong Dong	202 1.1×	74 0.4×	168 1.4×	122 1.9×	63 1.2×	22	387
V. I. Birss	214 1.1×	135 0.8×	31 0.3×	153 2.4×	18 0.3×	14	375
Hu Li	140 0.7×	202 1.2×	119 1.0×	33 0.5×	46 0.9×	24	363
Xiaoying Geng	213 1.1×	118 0.7×	20 0.2×	208 3.2×	18 0.3×	12	369

Countries citing papers authored by Eva Sediva

Since Specialization

Citations

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

Fields of papers citing papers by Eva Sediva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Sediva

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Sediva. A scholar is included among the top collaborators of Eva Sediva 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 Eva Sediva. Eva Sediva 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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