G. Schreiber

43 total papers · 794 total citations
23 papers, 531 citations indexed

About

G. Schreiber is a scholar working on Aerospace Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, G. Schreiber has authored 23 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 8 papers in Mechanical Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in G. Schreiber's work include Space Satellite Systems and Control (7 papers), Robot Manipulation and Learning (7 papers) and Modular Robots and Swarm Intelligence (6 papers). G. Schreiber is often cited by papers focused on Space Satellite Systems and Control (7 papers), Robot Manipulation and Learning (7 papers) and Modular Robots and Swarm Intelligence (6 papers). G. Schreiber collaborates with scholars based in Germany, United States and Russia. G. Schreiber's co-authors include Alin Albu‐Schäffer, G. Hirzinger, Tianrui Li, Max Fischer, K. Landzettel, Gerhard Grunwald, Gerd Hirzinger, Bernhard Brunner, Carsten Preusche and Detlef Reintsema and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Advanced Robotics and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

G. Schreiber

20 papers receiving 496 citations

Author Peers

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

Author						Papers	Cites
G. Schreiber	237	193	136	133	99	23	531
Robert T. Savely	261 1.1×	97 0.5×	103 0.8×	218 1.6×	33 0.3×	22	470
Cock Heemskerk	193 0.8×	98 0.5×	293 2.2×	94 0.7×	34 0.3×	45	570
Curtis Collins	303 1.3×	84 0.4×	106 0.8×	106 0.8×	53 0.5×	25	490
Robert Ambrose	213 0.9×	156 0.8×	145 1.1×	184 1.4×	71 0.7×	41	558
Henry W. Stone	313 1.3×	90 0.5×	230 1.7×	96 0.7×	35 0.4×	22	521
Garett Sohl	345 1.5×	114 0.6×	268 2.0×	140 1.1×	89 0.9×	19	596
Jack Morrison	113 0.5×	191 1.0×	156 1.1×	216 1.6×	167 1.7×	21	558
J. Heindl	286 1.2×	247 1.3×	332 2.4×	129 1.0×	58 0.6×	19	545
Markus Eich	185 0.8×	143 0.7×	153 1.1×	225 1.7×	9 0.1×	28	525
Vikas Panwar	345 1.5×	55 0.3×	133 1.0×	115 0.9×	16 0.2×	35	452

Countries citing papers authored by G. Schreiber

Since Specialization

Citations

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

Fields of papers citing papers by G. Schreiber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Schreiber

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