Sebastian Schildt

59 total papers · 605 total citations
46 papers, 346 citations indexed

About

Sebastian Schildt is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sebastian Schildt has authored 46 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sebastian Schildt's work include Caching and Content Delivery (20 papers), Opportunistic and Delay-Tolerant Networks (17 papers) and Vehicular Ad Hoc Networks (VANETs) (10 papers). Sebastian Schildt is often cited by papers focused on Caching and Content Delivery (20 papers), Opportunistic and Delay-Tolerant Networks (17 papers) and Vehicular Ad Hoc Networks (VANETs) (10 papers). Sebastian Schildt collaborates with scholars based in Germany, United States and Netherlands. Sebastian Schildt's co-authors include Lars Wolf, Felix Büsching, Johannes Morgenroth, Ulf Kulau, Wolf-Bastian Pöttner, Naresh Nayak, Hannes Frey, Michael Menth, Martin Drozda and Helena Szczerbicka and has published in prestigious journals such as Computer Communications, Ad Hoc Networks and IEEE Vehicular Technology Magazine.

In The Last Decade

Sebastian Schildt

45 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
Sebastian Schildt	298	158	25	24	24	46	346
Ruhani Ab Rahman	264 0.9×	211 1.3×	25 1.0×	47 2.0×	31 1.3×	48	368
Juan A. Cabrera	296 1.0×	216 1.4×	12 0.5×	19 0.8×	19 0.8×	50	363
Milutin Radonjić	188 0.6×	136 0.9×	18 0.7×	35 1.5×	39 1.6×	36	301
Buddha Singh	281 0.9×	208 1.3×	59 2.4×	20 0.8×	19 0.8×	37	388
Vesal Hakami	255 0.9×	183 1.2×	39 1.6×	22 0.9×	12 0.5×	37	358
R. C. Hansdah	273 0.9×	101 0.6×	33 1.3×	34 1.4×	20 0.8×	41	317
Poh Kit Chong	247 0.8×	180 1.1×	15 0.6×	17 0.7×	44 1.8×	32	367
Asma Elmangoush	319 1.1×	142 0.9×	24 1.0×	51 2.1×	49 2.0×	24	373
Wei Liu	193 0.6×	142 0.9×	28 1.1×	37 1.5×	37 1.5×	30	300
Michał Marks	219 0.7×	136 0.9×	63 2.5×	32 1.3×	36 1.5×	31	353

Countries citing papers authored by Sebastian Schildt

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Schildt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Schildt

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