Wibke Sudholt

567 total citations
10 papers, 350 citations indexed

About

Wibke Sudholt is a scholar working on Computer Networks and Communications, Physical and Theoretical Chemistry and Information Systems and Management. According to data from OpenAlex, Wibke Sudholt has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Physical and Theoretical Chemistry and 3 papers in Information Systems and Management. Recurrent topics in Wibke Sudholt's work include Distributed and Parallel Computing Systems (5 papers), Photochemistry and Electron Transfer Studies (4 papers) and Molecular Junctions and Nanostructures (3 papers). Wibke Sudholt is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Photochemistry and Electron Transfer Studies (4 papers) and Molecular Junctions and Nanostructures (3 papers). Wibke Sudholt collaborates with scholars based in Switzerland, United States and Germany. Wibke Sudholt's co-authors include Andrzej L. Sobolewski, Wolfgang Domcke, Andreas B. J. Parusel, Wolfgang Rettig, Arnulf Staib, David Abramson, Kim K. Baldridge, Colin Enticott, Duy Nguyen and Karan Bhatia and has published in prestigious journals such as Proceedings of the IEEE, Physical Chemistry Chemical Physics and The Journal of Physical Chemistry A.

In The Last Decade

Wibke Sudholt

10 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wibke Sudholt Switzerland	9	257	149	115	87	66	10	350
Sarom S. Leang United States	8	142 0.6×	219 1.5×	64 0.6×	135 1.6×	81 1.2×	11	435
Kristopher Keipert United States	7	63 0.2×	114 0.8×	23 0.2×	67 0.8×	30 0.5×	12	227
K. NISHIMOTO Japan	9	65 0.3×	82 0.6×	53 0.5×	58 0.7×	28 0.4×	25	326
Francis T. Marchese United States	12	87 0.3×	205 1.4×	48 0.4×	55 0.6×	17 0.3×	39	414
Colleen Bertoni United States	9	39 0.2×	126 0.8×	24 0.2×	82 0.9×	63 1.0×	19	298
V. Bazterra Argentina	10	55 0.2×	152 1.0×	27 0.2×	187 2.1×	59 0.9×	13	286
Urban Borštnik Slovenia	8	41 0.2×	134 0.9×	40 0.3×	118 1.4×	38 0.6×	14	415
Madushanka Manathunga United States	14	46 0.2×	167 1.1×	43 0.4×	155 1.8×	28 0.4×	20	469
R. J. Hulsebosch Netherlands	12	95 0.4×	112 0.8×	40 0.3×	32 0.4×	66 1.0×	17	460

Countries citing papers authored by Wibke Sudholt

Since Specialization

Citations

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

Fields of papers citing papers by Wibke Sudholt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wibke Sudholt

This figure shows the co-authorship network connecting the top 25 collaborators of Wibke Sudholt. A scholar is included among the top collaborators of Wibke Sudholt 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 Wibke Sudholt. Wibke Sudholt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Kunszt, Peter, et al.. (2011). Accelerating 3D Protein Modeling Using Cloud Computing: Using Rosetta as a Service on the IBM SmartCloud. INFM-OAR (INFN Catania). 166–169. 1 indexed citations

Diamond, Neil T., et al.. (2008). Fractional Factorial Design for Parameter Sweep Experiments Using Nimrod/E. Scientific Programming. 16(2-3). 217–230. 14 indexed citations

Baldridge, Kim K., Karan Bhatia, Jerry P. Greenberg, et al.. (2006). GEMSTONE: GRID ENABLED MOLECULAR SCIENCE THROUGH ONLINE NETWORKED ENVIRONMENTS. 155–175. 10 indexed citations

Baldridge, Kim K., Jerry P. Greenberg, Wibke Sudholt, et al.. (2005). The Computational Chemistry Prototyping Environment. Proceedings of the IEEE. 93(3). 510–521. 8 indexed citations

Sudholt, Wibke, et al.. (2004). Parameter scan of an effective group difference pseudopotential using grid computing. New Generation Computing. 22(2). 137–146. 15 indexed citations

Sudholt, Wibke, et al.. (2004). Application of grid computing to parameter sweeps and optimizations in molecular modeling. Future Generation Computer Systems. 21(1). 27–35. 23 indexed citations

Parusel, Andreas B. J., Wolfgang Rettig, & Wibke Sudholt. (2002). A Comparative Theoretical Study on DMABN: Significance of Excited State Optimized Geometries and Direct Comparison of Methodologies. The Journal of Physical Chemistry A. 106(5). 804–815. 64 indexed citations

Sudholt, Wibke, Arnulf Staib, Andrzej L. Sobolewski, & Wolfgang Domcke. (2000). Molecular-dynamics simulations of solvent effects in the intramolecular charge transfer of 4-(N,N-dimethylamino)benzonitrile. Physical Chemistry Chemical Physics. 2(19). 4341–4353. 35 indexed citations

Sudholt, Wibke, Andrzej L. Sobolewski, & Wolfgang Domcke. (1999). Ab initio study of the amino group twisting and wagging reaction paths in the intramolecular charge transfer of 4-(N,N-dimethylamino)benzonitrile. Chemical Physics. 240(1-2). 9–18. 51 indexed citations

10.

Sobolewski, Andrzej L., Wibke Sudholt, & Wolfgang Domcke. (1998). Ab Initio Investigation of Reaction Pathways for Intramolecular Charge Transfer in Dimethylanilino Derivatives. The Journal of Physical Chemistry A. 102(16). 2716–2722. 129 indexed citations

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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