Hartmut Wedekind

136 total papers · 717 total citations
47 papers, 272 citations indexed

About

Hartmut Wedekind is a scholar working on Computer Networks and Communications, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Hartmut Wedekind has authored 47 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 10 papers in Management Information Systems. Recurrent topics in Hartmut Wedekind's work include Advanced Database Systems and Queries (14 papers), Distributed systems and fault tolerance (11 papers) and Business Process Modeling and Analysis (10 papers). Hartmut Wedekind is often cited by papers focused on Advanced Database Systems and Queries (14 papers), Distributed systems and fault tolerance (11 papers) and Business Process Modeling and Analysis (10 papers). Hartmut Wedekind collaborates with scholars based in Germany, United States and Norway. Hartmut Wedekind's co-authors include Wolfgang Lehner, Jens Albrecht, Lars Jenßen, Sigrid Blömeke, Ute Suhl, Stefan Jablonski, Thomas Ruf, Simone Jablonski, Klaus Meyer-Wegener and Richard Lenz and has published in prestigious journals such as Communications of the ACM, Journal of Educational Psychology and Journal of the Association for Information Systems.

In The Last Decade

Hartmut Wedekind

38 papers receiving 245 citations

Author Peers

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

Author						Papers	Cites
Hartmut Wedekind	149	80	79	60	55	47	272
Mário Antunes	91 0.6×	118 1.5×	112 1.4×	28 0.5×	8 0.1×	46	314
María Teresa Signes Pont	88 0.6×	91 1.1×	36 0.5×	15 0.3×	62 1.1×	37	312
Αλέξανδρος Καράκος	81 0.5×	95 1.2×	103 1.3×	52 0.9×	53 1.0×	28	282
Ali Ahmed	75 0.5×	114 1.4×	65 0.8×	32 0.5×	7 0.1×	50	321
Günter Schlageter	164 1.1×	95 1.2×	76 1.0×	21 0.3×	24 0.4×	44	288
Rohiza Ahmad	77 0.5×	160 2.0×	91 1.2×	20 0.3×	33 0.6×	50	297
Shahanawaj Ahamad	80 0.5×	83 1.0×	61 0.8×	24 0.4×	30 0.5×	45	272
Ashima Kukkar	70 0.5×	123 1.5×	104 1.3×	33 0.6×	12 0.2×	26	308
Diego García‐Saiz	53 0.4×	117 1.5×	108 1.4×	23 0.4×	21 0.4×	28	240
Brian Broll	38 0.3×	89 1.1×	45 0.6×	21 0.3×	15 0.3×	27	261

Countries citing papers authored by Hartmut Wedekind

Since Specialization

Citations

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

Fields of papers citing papers by Hartmut Wedekind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hartmut Wedekind

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