Wilfried Grossmann

95 total papers · 462 total citations
29 papers, 201 citations indexed

About

Wilfried Grossmann is a scholar working on Artificial Intelligence, Management Information Systems and Toxicology. According to data from OpenAlex, Wilfried Grossmann has authored 29 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Management Information Systems and 4 papers in Toxicology. Recurrent topics in Wilfried Grossmann's work include Pharmacovigilance and Adverse Drug Reactions (4 papers), Advanced Statistical Process Monitoring (3 papers) and Business Process Modeling and Analysis (3 papers). Wilfried Grossmann is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (4 papers), Advanced Statistical Process Monitoring (3 papers) and Business Process Modeling and Analysis (3 papers). Wilfried Grossmann collaborates with scholars based in Austria, United States and United Kingdom. Wilfried Grossmann's co-authors include Georg Ch. Pflug, Wolfgang Wertz, Stefanie Rinderle‐Ma, Stefan Biffl, Michaela M. Pinter, M. Saletu, Walter Gall, Claus Rinner, Michael Wolzt and Gottfried Endel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science and BioMed Research International.

In The Last Decade

Wilfried Grossmann

28 papers receiving 186 citations

Author Peers

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

Author						Papers	Cites
Wilfried Grossmann	30	29	27	25	19	29	201
Rafael Alejandro Espín Andrade	66 2.2×	25 0.9×	4 0.1×	8 0.3×	67 3.5×	51	233
Christophe Marsala	171 5.7×	40 1.4×	24 0.9×	16 0.6×	62 3.3×	36	286
Tony Solomonides	80 2.7×	51 1.8×	39 1.4×		14 0.7×	43	255
Martina Iammarino	53 1.8×	92 3.2×	10 0.4×	2 0.1×	6 0.3×	30	232
Massimiliano Masi	24 0.8×	78 2.7×	43 1.6×		10 0.5×	15	209
Xuan Bi	60 2.0×	23 0.8×	5 0.2×	21 0.8×	29 1.5×	27	232
Ngoc Mai Tran	37 1.2×	48 1.7×	6 0.2×	12 0.5×	12 0.6×	36	186
Vladik Kreinovich	101 3.4×	32 1.1×	2 0.1×	29 1.2×	50 2.6×	24	270
Manomita Chakraborty	148 4.9×	41 1.4×	8 0.3×	5 0.2×	15 0.8×	32	286
Gang Zhang	107 3.6×	17 0.6×	6 0.2×	3 0.1×	4 0.2×	26	217

Countries citing papers authored by Wilfried Grossmann

Since Specialization

Citations

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

Fields of papers citing papers by Wilfried Grossmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilfried Grossmann

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